Entries |
Document | Title | Date |
20110077987 | METHOD AND SYSTEM FOR INCREASING ADVANCE ORDERS - A system and method are described for increasing advance orders for goods or services. In one embodiment, the method comprises receiving advance orders for a product with a specified release date from a plurality of buyers and moving up the release date if a goal is met, wherein the goal based at least in part on the number of advance orders received. | 03-31-2011 |
20110099045 | Assumed Demographics, Predicted Behavior, and Targeted Incentives - A system and method for anticipating consumer behavior and determining transaction incentives for influencing consumer behavior comprises a computer system and associated database for determining cross time correlations between transaction behavior, for applying the function derived from the correlations to consumer records to predict future consumer behavior, and for deciding on transaction incentives to offer the consumers based upon their predicted behavior. | 04-28-2011 |
20110099046 | ANALYZING CONSUMER BEHAVIOR USING ELECTRONICALLY-CAPTURED CONSUMER LOCATION DATA - In embodiments, methods and systems for consumer behavior analysis using electronically-captured consumer location data may be provided. The location data may be gathered for one or more consumers. The gathered data may be analyzed to determine behavior patterns or other characteristics of the one or more consumers. Further, inferences or predictions about consumers may be derived based on the characteristics. The inferences and predictions may be the basis of consumer analytics supplied to a business or other entity. | 04-28-2011 |
20110106584 | SYSTEM AND METHOD FOR MEASURING CUSTOMER INTEREST TO FORECAST ENTITY CONSUMPTION - A system and method comprises monitoring online user activity of one or more customers with regard to a first consumer entity. The user activity represents the one or more customer's interest in the first consumer entity categorized in a first product category. The method comprises monitoring the online user activity of the one more customers with regard to a second consumer entity categorized in a second product category different than the first category. The method comprises recording the monitored activity information to a data storage device and mapping it to a relational customer interest profile that represents a level of the one or more customer's interest at one or more corresponding phases of a consumption cycle with respect to the first and second consumer entities. The method comprises processing at least the mapped activity information to formulate a forecast of future consumption of at least the first consumer entity. | 05-05-2011 |
20110106585 | Communication of Managing Vending Operations Based on Wireless Data - A system coupled to one or more vending machines, such as soft drink vending machines, via a wireless data link can acquire operational vending data, for example sales data, hardware status, and product temperature. The system can compile data from multiple vending machines dispersed across a geographic area such as a city or state. The system can include software that refines the vending operations of one or more such vending machines based on analysis of acquired data, taking into consideration other information such as market, business, seasonal, or environmental factors. Refining vending operations can include adjusting product offerings, relocating vending machines, replicating favorable conditions, and addressing unexpected sales variations. | 05-05-2011 |
20110112889 | PROACTIVE DEMAND SHAPING FOR A CONFIGURABLE PRODUCT PORTFOLIO WITH UNCERTAIN DEMAND - Proactive demand shaping of configurable products with uncertain demand computes a lower bound and an upper bound on optimal profit by considering future demand distribution of one or more products, supply outlook of one or more components and customer behavior. The upper bound and the lower bound solutions are used to generate one or more rationing heuristics. Simulation may be used to determine a rationing policy to implement in practice. | 05-12-2011 |
20110119109 | HEADCOUNT FORECASTING SYSTEM - Embodiments of the present invention provide systems, apparatuses, methods, and computer program products for forecasting the future headcount of an organization by generating, validating and displaying models of the headcount of an organization or division thereof over time. In some embodiments, at least three different models are generated using stored historical headcount information, including a linear regression model, a multivariate model using macroeconomic variables, and an autoregressive moving average model. In some embodiments, for each of the foregoing types, multiple models are generated and the best model of each type is selected for use in forecasting headcount according to predetermined evaluation criteria. | 05-19-2011 |
20110119110 | SYSTEM AND METHOD FOR PRODUCT RECOMMENDATION AND AUTOMATIC SERVICE EQUIPMENT THEREOF AND COMPUTER READABLE RECORDING MEDIUM STORING COMPUTER PROGRAM PERFORMING THE METHOD - A system for product recommendation comprises several automatic service equipments which are mutually linked via a communication network. Each of the automatic service equipments obtains data of other user groups, data of other product groups and other, relation matrixes from other automatic service equipments. Each of the automatic service equipments integrates data of other user groups into data of local user groups stored in itself, and also integrates data of other product groups into data of local product groups stored in itself. Each of the automatic service equipments revises a local relation matrix stored in itself, such that the revised local relation matrix records correlation coefficients between the integrated local user groups and the integrated local product groups. Each of the automatic service equipments performs product recommendation according to the integrated data and input data received through an input device. | 05-19-2011 |
20110125551 | Method and System for In-Store Media Measurement - A system and method for determining the value of an in-store marketing program is disclosed. The invention combines household panel data and aisle traffic data to provide a statistically significant value determination of a in-store marketing program. In some embodiments the aisle traffic data is collected using GPS units or RFID tags. In some embodiments, the invention accounts for the value based on a specific demographic or specific target product usage. In further embodiments, the invention is configured to generate the value using a computer and software executing on the computer. | 05-26-2011 |
20110131078 | SYSTEM AND METHOD TO MODEL AND FORECAST TECHNOLOGY ADOPTION - A method is implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions. The programming instructions are operable to at least one of receive and assess current technology adoption trends. Additionally, the programming instructions are operable to provide a technology adoption forecast. | 06-02-2011 |
20110131079 | System and Method for Modeling by Customer Segments - The present invention relates to a system and method for the system and method for modeling demand by consumer segments. In some embodiments a segment data organizer may receive transaction data. Transaction data may include transaction logs (T logs) from point of sales records from a retailer. These transaction logs, for the most part, include identification information for each transaction. The segment data organizer may also receive customer identification data which includes groupings of customers by consumer segments. The identification information within the transaction logs may be cross referenced by the customer identification data in order to generate groupings of transactions belonging to consumers in each segment. The organizer may then also aggregate the transaction logs by location, time series and product. The aggregated data may be supplied to an econometric engine capable of generating elasticity coefficients for each set of aggregate data. These coefficients may be stored or utilized to generate optimized pricing, lifts, and demand models. | 06-02-2011 |
20110137708 | Prioritized Promising with Preemption in Supply Chains - A supply chain management plan includes supply events for inventory and times at which the supplies will be received. The plan further includes demand events and when they occur. The demands may be prioritized. For each demand priority, an available to promise (ATP) amount of supply is determined in accordance with demand events of that priority. The ATP is determined for higher priority demand events before it is determined for lower priority demand events. Cancellations of a priority k order may be processed by determining, for each demand priority context i=k+1 to N, an amount of inventory to restore to available status at a particular supply event based upon a minimum ATPRG value between the particular supply event and the order committed date. | 06-09-2011 |
20110153385 | DETERMINATION OF DEMAND UPLIFT VALUES FOR CAUSAL FACTORS WITH SEASONAL PATTERNS IN A CAUSAL PRODUCT DEMAND FORECASTING SYSTEM - An improved method and system for forecasting product demand using a causal methodology, based on multiple regression techniques. The causal method uses both historical and future values of causal factors for causal forecasting. Historical values are used to build a causal model, i.e., to determine the influence of the causal factors upon the demand for a product, and future values are used to generate demand uplifts which applied to an initial demand forecast based upon historical product demand. The improved causal method provides different processes for the calculation of demand uplifts associated with seasonal variables, such as temperature, than typical, non-seasonal causal variables, such as product price. Demand uplifts for seasonal variables are determined from the difference between a forecast value for the seasonal variable and an average of corresponding historical, prior-year, values of the seasonal variable, and demand uplifts for non-seasonal variables are determined from the difference between a forecast value for the non-seasonal variable and an average of recent values of the non-seasonal variable. | 06-23-2011 |
20110153386 | SYSTEM AND METHOD FOR DE-SEASONALIZING PRODUCT DEMAND BASED ON MULTIPLE REGRESSION TECHNIQUES - An improved method and system for forecasting product demand using a causal methodology, based on multiple regression techniques. The improved causal method revises product group seasonal factors used by conventional forecasting applications to best fit the sales pattern of an individual product in the product group through the calculation of an exponential coefficient which measures the deviation of the historical sales pattern of an individual product from the product group seasonal factors. The value of exponential coefficient is calculated using a causal framework through multivariable regression analysis. | 06-23-2011 |
20110178841 | SYSTEM AND METHOD FOR CLUSTERING A POPULATION USING SPEND LEVEL DATA - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178842 | SYSTEM AND METHOD FOR IDENTIFYING ATTRIBUTES OF A POPULATION USING SPEND LEVEL DATA - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178843 | SYSTEM AND METHOD FOR USING SPEND BEHAVIOR TO IDENTIFY A POPULATION OF CONSUMERS THAT MEET A SPECIFIED CRITERIA - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178844 | SYSTEM AND METHOD FOR USING SPEND BEHAVIOR TO IDENTIFY A POPULATION OF MERCHANTS - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178845 | SYSTEM AND METHOD FOR MATCHING MERCHANTS TO A POPULATION OF CONSUMERS - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178846 | SYSTEM AND METHOD FOR USING SPEND LEVEL DATA TO MATCH A POPULATION OF CONSUMERS TO MERCHANTS - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178847 | SYSTEM AND METHOD FOR IDENTIFYING A SELECTED DEMOGRAPHIC'S PREFERENCES USING SPEND LEVEL DATA - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178848 | SYSTEM AND METHOD FOR MATCHING CONSUMERS BASED ON SPEND BEHAVIOR - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178849 | SYSTEM AND METHOD FOR MATCHING MERCHANTS BASED ON CONSUMER SPEND BEHAVIOR - The present invention improves upon existing systems and methods by providing a passive profile creation method. The data accessible to a financial processor, such as spend level data, is leveraged using sophisticated data clustering and/or data appending techniques. Associations are established among entities (e.g., consumers), among merchants, and between entities and merchants. In one embodiment, a system and method for passively collecting spend level data for a transaction of a first entity, aggregating the collected spend level data for a plurality of entities; and clustering the first entity with a subset of the plurality of entities, based on aggregated spend level data of the first entity is provided. | 07-21-2011 |
20110178850 | FUTURE COST ESTIMATE FORECASTING FOR TECHNOLOGIES - A system for forecasting a future cost estimate for a technology includes a cost receipt unit configured to receive a first cost point and a second cost point identifying a starting cost at a first time period and a midpoint cost at a second time period, and calculate a third cost point to express the first cost point and the second cost point in a range of zero to one. The system also includes a base curve unit configured to determine a base S-curve from the first cost point, the second cost point and the third cost point. The system includes a weighting unit configured to receive weightings of cost-reduction drivers. The system includes a base curve adjustment unit configured to adjust the base S-curve based on the weightings of the cost-reduction drivers to create an adjusted S-curve. | 07-21-2011 |
20110184777 | DELINQUENCY MIGRATION MODEL - In general, embodiments of the invention relate to systems, methods, and computer program products for predicting population migration and analyzing migration-affecting programs. For example, an apparatus is provided having a memory device with population information and a plurality of migration factors stored therein. The population information includes information about population distribution across a plurality of classifications. Each of the plurality of migration factors corresponds to a particular classification of the plurality of classifications and indicates how population members of the particular classification migrate to other classifications over a particular time period. The apparatus also includes a processor communicably coupled to the memory device and configured to use the migration factors and the population information to forecast changes in the population distribution across each of the plurality of classifications over multiple time periods. In one embodiment, the systems, methods, and computer program products are configured to predict delinquency characteristics of a credit portfolio. | 07-28-2011 |
20110184778 | Event Prediction in Dynamic Environments - Event prediction in dynamic environments is described. In an embodiment a prediction engine may use the learnt information to predict events in order to control a system such as for internet advertising, email filtering, fraud detection or other applications. In an example one or more variables exists for pre-specified features describing or associated with events and each variable is considered to have an associated weight and time stamp. For example, belief about each weight is represented using a probability distribution and a dynamics process is used to modify the probability distribution in a manner dependent on the time stamp for that weight. For example, the uncertainty about the associated variable's influence on prediction of future events is increased. Examples of different schedules for applying the dynamics process are given. | 07-28-2011 |
20110184779 | DYNAMIC ON-LINE LEARNING SYSTEM FOR ELECTRONIC COUPONS USING ON-LINE AUCTIONS - A system, method, and computer program product implementing the method for generating promotional scheme parameters for issuing redeemable electronic coupons, wherein the method comprises automatically obtaining market demand data from defined sources of online auctions, conducting online auctions using defined parameters for specified goods and/or services to obtain market demand data, and storing and analyzing the market demand data obtained from the online auctions or the conducted auctions to estimate demand and calculate promotion scheme parameters for issue of redeemable electronic coupons. | 07-28-2011 |
20110191139 | METHODS AND SYSTEMS FOR DYNAMIC INVENTORY CONTROL - The embodiments of the present invention fill the need of properly controlling product inventory of semiconductor chips by providing methods and systems of dynamic inventory control. The methods and systems timely modify parameters affecting inventory. The parameters may include target inventory, cycle time, wafer start, future inventory and future shipment. In addition, the methods and systems gather real-time customer demand forecast to assist in production planning and adjustment. Further, the methods and systems identify inventory control turning points dynamically to adjust production activities to prevent overstock and to prevent stockout. | 08-04-2011 |
20110191140 | SYSTEM AND METHOD FOR ANALYZING MARKETING EFFORTS - The present invention relates to a method and system for evaluating the cause and effect of advertising and marketing programs using card transaction data. In one embodiment, access is provided to voluminous card-holder transaction data detailing accurate-to-the-penny transaction amounts, twenty-four hour active customers, and a multi-year transaction history per customer. Furthermore, such data is captured in real-time, and due to the sample size, can provide granular, statistically significant information at a local level for client and merchant coverage. | 08-04-2011 |
20110196718 | SYSTEM AND METHOD FOR FORECASTING IN THE PRESENCE OF MULTIPLE SEASONAL PATTERNS IN PRINT DEMAND - A system for forecasting an inventory level for a consumable in a print production environment may include a computing device and a computer-readable storage medium in communication with the computing device. The computer-readable storage medium may include one or more programming instructions for identifying a demand distribution for a print product resource consumable, identifying a first seasonal period in the demand distribution, creating a seasonally adjusted demand distribution, identifying a second seasonal period in the seasonally adjusted demand distribution, creating an updated seasonally adjusted demand distribution, using a forecasting model to automatically forecast a predicted future demand value for the consumable, updating the predicted future demand value using, determining whether additional inventory is needed based on at least the updated predicted future demand value, and in response to a need for additional inventory, generating an order for the print product resource consumable. | 08-11-2011 |
20110202386 | IDENTIFYING INDUSTRY SEGMENTS WITH HIGHEST POTENTIAL FOR NEW CUSTOMERS OR NEW SPENDING FOR CURRENT CUSTOMERS - A method and system are used to identify industry segments with highest potential for new customers or new spending for current customers. This includes receiving data, segregated into each of a plurality of industries, relating to a number of small businesses, cost of goods sold for each of the small businesses, and percentage of cost of goods sold that is spent on raw materials and inventory for each of the small businesses. Capturing data, segregated into each of the plurality of industries, relating to average amount charged per current card member, percentage of the current card members charging the raw materials and the inventory, percentage of card member penetration, and total estimated charging for the current card members. Determining which of the plurality of industries or segments of the plurality of the industries are available for a highest potential for new card members or that are available for a greatest amount of incremental increased charging by the current card members. Communicating with the current card members in each of the plurality of industries or segments and receiving data therefrom based on one or more of the previous steps. Communicating with internal and external sources to capture additional industry-specific charging data. Receiving data relating to industry reports and census data. Generating ranked data sets based on the previous steps. | 08-18-2011 |
20110202387 | Data Prediction for Business Process Metrics - Embodiments in accordance with the present invention include methods and systems for data prediction. A method includes analyzing time-series data in a business process with a single-metric technique and with a multiple-metric technique; and combining predictions from the single-metric technique and the multiple-metric technique to predict a predetermined change in the business process | 08-18-2011 |
20110208560 | Determining Order Lead Time for a Supply Chain Using a Probability Distribution of Order Lead Time - A system and method is disclosed for estimating demand of a supply chain including accessing a probability distribution of order lead time of the supply chain. The supply chain has nodes including a starting node and an ending node and a path from the starting node to the ending node. The probability distribution of order lead time describes ending node demand of the ending node versus order lead time. The path is divided into order lead time segments which are associated with the probability distribution of order lead time by associating each order lead time segment with an order lead time range of the probability distribution of order lead time. A demand percentage is estimated for each order lead time segment in accordance with the probability distribution of order lead time, such that each demand percentage describes a percentage of a total ending node demand of an order lead time segment. | 08-25-2011 |
20110213639 | AUTOMATED FEATURE-BASED ANALYSIS FOR COST MANAGEMENT OF DIRECT MATERIALS - A system and method for managing costs of a target part is presented. The system and method entails five steps. First, the system and method provides features characteristics information of the target part. Second, system and method provides financial information related to the target part. Third, the system and method provides purchasing demand information related to the target part. Fourth, the system and method analyzes the features characteristics data, financial information, and purchasing demand information. Finally, the system and method compares the target part should cost to a supplier's price of the target part to determine cost saving opportunities. | 09-01-2011 |
20110218837 | FACILITATING GROWTH INVESTMENT DECISIONS - A technique for performing securable market analysis involves establishing an empirically-derived structure and evaluating market size using analytical techniques within that structure. Inputs to a system that incorporates the technique can include a functional job and related emotional and consumption jobs, if any; importance levels; satisfaction levels; job executors; and willingness-to-pay. | 09-08-2011 |
20110218838 | ECONOMETRICAL INVESTMENT STRATEGY ANALYSIS APPARATUSES, METHODS AND SYSTEMS - The ECONOMETRICAL INVESTMENT STRATEGY ANALYSIS APPARATUSES, METHODS AND SYSTEMS (“EISA”) transform raw card-based transaction data via EISA components into business analytics reports. In one embodiment, the EISA may obtain an investment strategy analysis request. The EISA may determine a scope of aggregation of card-based transaction data records for investment strategy analysis and aggregate the card-based transaction data records for investment strategy analysis according to the determined scope. The EISA may generate anonymized card transaction data by removing identifying characteristics from the aggregated transaction data. The EISA may determine a forecast regression equation using the anonymized card-based transaction data records. Using the forecast regression equation, the EISA may calculate a forecast for retail spending in a specified spending category. Based on the calculated forecast, the EISA may generate a business analytics report, and provide the business analytics report in response to the obtained investment strategy analysis report. | 09-08-2011 |
20110225023 | Prioritized Product Distribution - In one embodiment, a distribution server can be configured to coordinate the distribution of products to multiple retail locations. Upon receiving data representative of a product, one or more retail locations, and a promotional event, the distribution server may predict an effect on product sales from the promotional event, generate a sales forecast for each of the locations, and determine a quantity of the product to be delivered to each of the locations. Based at least in part on receiving capabilities of the retail locations, the distribution server may determine a confidence level for each of the locations associated with a probability that the product is stocked at a particular time. The distribution server may prioritize product distribution to the retail locations, based at least in part on the determined confidence levels. | 09-15-2011 |
20110238460 | Dynamic Pricing of a Resource - A method of dynamic pricing of a resource is presented. For example, the method includes determining a set of anticipated demands for one or more users to acquire the resource according to uncertainty of the one or more users in preferring one or more certain time periods of a plurality of time periods for acquiring the resource. Prices for the resource differ between at least two of the plurality of time periods. Each anticipated demand of the set is associated with a different one of the plurality of time periods. The method further includes setting prices for the resource during each of the plurality of time periods according to the determined set of anticipated demands. The determining of the set of anticipated demands and/or the setting of prices are implemented as instruction code executed on a processor device. | 09-29-2011 |
20110238461 | COMPUTER PROGRAM PRODUCT AND METHOD FOR SALES FORECASTING AND ADJUSTING A SALES FORECAST - A computer program product and method for sales forecasting and adjusting a sales forecast for an enterprise in a configurable region having one or more clusters of stores. The method includes periodically receiving a sales forecast for an enterprise over a configurable period of time, periodically receiving actual sales information, sales anomalies and anticipated events within the at least one of the clusters of stores over a computer network, determining positive and negative deviations from the anticipated sales of the sales forecast based on the sales information, determining whether one or more trends are occurring or have occurred using a pre-defined mathematical expression based on the sales information, the positive and negative deviations, and the sales anomalies, adjusting the anticipated sales of the sales forecast based on the sales anomalies, the trends and the anticipated events, and outputting the adjusted sales forecast to a user. The sales forecast includes anticipated sales for a plurality of items within at least one of the clusters of stores. | 09-29-2011 |
20110246258 | SALES MANAGEMENT TOOL - A sales management tool utilizes a mobile device configured to request data from a database regarding a neighborhood within proximity of that sale. The mobile device sends results back to the database, wherein the results are flagged as verified. A simplified prequalification system is shown where a salesperson may select a house on a map to run a prequalification on the residents. | 10-06-2011 |
20110246259 | METHOD OF EFFICIENTLY MANAGING ENERGY - A method is provided for managing energy. The method comprises collecting information relating to amounts of energy stored by a plurality of members of a group, and relating to energy requirements of the members. The method further comprises determining a price for distributing energy to a non-member of the group, determining whether to supply energy stored by the members to the non-member at the determined price, and issuing instructions to distribute energy upon determining that energy stored by the plurality of members should be supplied to the non-member. | 10-06-2011 |
20110251874 | CUSTOMER ANALYTICS SOLUTION FOR ENTERPRISES - A method for building an integrated customer analytics solution for an enterprise is provided. The method enables retrieving and processing customer data from data sources available in the enterprise. Further, statistical techniques are generated using the processed data to facilitate analyzing attributes related to the customer. Statistical model outputs are, then, derived using the generated statistical techniques. The statistical model outputs represent metrics corresponding to the analyzed attributes. Furthermore, statistical models are generated corresponding to the statistical model outputs. The statistical models are associated with scores that facilitate to predict likelihood of customer behavior towards products, services and other customer related aspects associated with the enterprise. In addition, reports are generated based on at least one of: the processed data and the one or more statistical model outputs. Finally, the method enables building analytical modules comprising the reports and the statistical models. | 10-13-2011 |
20110251875 | NETWORK-BASED SYSTEMS AND METHODS FOR DEFINING AND MANAGING MULTI-DIMENSIONAL, ADVERTISING IMPRESSION INVENTORY - A method for representing and managing an inventory of overlapping multi-dimensional items such as advertising or ad impressions. The method uses an inventory management module to generate unique segment identifiers for sets of inventory items by processing descriptions of the sets of impressions including defining criteria. The method includes processing the unique segment identifiers to create a representation of the inventory as a plurality of inventory regions, which may include non-overlapping regions that correspond to inventory items in a single set of the inventory and also include overlapping regions that correspond to inventory items in two or more of the sets (e.g., items that match two or more sets of defining criteria or attributes). Availability and selection of inventory is determined using the information on inventory regions to control effects of cannibalization, such as by implementing logically necessary allocation to only cannibalize a region on a limited or forced basis. | 10-13-2011 |
20110264485 | SYSTEM, COMPUTER PROGRAM AND METHOD FOR IMPLEMENTING AND MANAGING A VALUE CHAIN NETWORK - A system, computer program product and method for implementing and managing a value chain network. The computer program product includes allowing a first company having one or more clusters of retail stores and a second company in a value chain network to access to a shared database, having first and second plurality of fields in the shared database are uniquely associated with each respective first and second company, on a service provider computer over a network; linking the first company with one or more of the second plurality of fields; linking the second company with one or more of the first plurality of fields; periodically receiving sales information and events, including a demand event and a supply event, on the value network within at least one of the one or more clusters of retail stores; and updating one or more of the first plurality of fields that are linked to the second company upon receipt of at least one selected from the group consisting of the sales information, the demand event and the supply event. The first and second company are linked and provided limited access to the one or more of the respective second and first plurality of fields without creating a copy. The one or more updated first plurality of fields are immediately accessible to the first and second company. | 10-27-2011 |
20110270649 | APPARATUSES, METHODS AND SYSTEMS FOR OPTIMIZING USER CONNECTION GROWTH OF SOCIAL MEDIA - This disclosure details the implementation of apparatuses, methods, and systems for a media marketing planning and optimization tool (hereinafter, “Social-OPT”), wherein the Social-OPT takes inputs (e.g., macro economic data, client data, etc.) and transforms the inputs via the Social-OPT components, such as the Macro Economic Data Processing component, the Regression Component, the Forecast Data Generator component, and/or the like, into outputs (e.g., forecast structure, forecast data, etc.). | 11-03-2011 |
20110302001 | System and Method for Estimating Forward Retail Commodity Price Within a Geographic Boundary - Embodiments disclosed herein provide a new way to generate estimated forward retail prices for a retail commodity within a geographic boundary that represents a target market. Using estimates for local retail prices, combined with knowledge of current and historical wholesale prices, embodiments disclosed herein enable the creation of a forward estimate of retail prices on fuels for a specific location, time period, and fuel grade. In some embodiment, the process of creating a forward estimate of retail prices on fuels comprises performing a predictive modeling utilizing wholesale gasoline prices, rack markup, retail markup, and taxes on a location, time period, and fuel grade basis. In some cases, the estimated forward retail prices thus generated can be used in a pricing model for price protection services for that retail commodity in that target market. | 12-08-2011 |
20110307296 | Data Distribution Method and System - A method for distributing data among automotive dealers, including selecting the data from the dealers, processing the data, and providing the processed data to the dealers while maintaining confidentiality of individual data of each dealer. The selecting of the data further includes collecting data indicating which vehicles are in demand. The data includes at least one of a number of a vehicle's make a dealer has in stock, a vehicle identification number, a vehicle's year, a vehicle's make, a vehicle's model, a vehicle's body style, a vehicle's exterior color, a vehicle's interior color, a vehicle's mileage, a vehicle's retail asking price, a vehicle's transactions cost, a vehicle's reconditioning cost, a vehicle's age, a vehicle's selling price, a vehicle's gross profit, an acquisition need of a vehicle, a selling need of a vehicle, a vehicle's image, a vehicle's turnover rate, or an aggregate of any of the above-listed data. The distributed data may provide optimization on return on investments to the dealers. | 12-15-2011 |
20110313813 | METHOD AND SYSTEM FOR ESTIMATING BASE SALES VOLUME OF A PRODUCT - A method and a system for estimating a base sales volume of a product are provided. The method includes receiving sales data of the product from one or more sales data sources. Further, the method includes identifying a plurality of independent variables from the received sales data and substituting them in a regression model to calculate a total sales volume of the product. Furthermore, the method includes modifying one or more independent variables of the plurality of independent variables in the regression model to obtain the base sales volume of the product. The base sales volume of the product is the same as the calculated total sales volume when the base sales volume obtained after modifying the one or more independent variables is either negative or greater than the total sales volume. | 12-22-2011 |
20110313814 | DETERMINING ADVERTISING EFFECTIVENESS WITH ONLINE REACH AND FREQUENCY MEASUREMENT - A method for determining advertising effectiveness of cross-media campaigns provided. The effectiveness of the combined campaign is plotted, and the effects of different media are isolated. Examining complementary effects and synergies are examined, and a dollar-for-dollar comparison for each of the media is performed. This dollar-for-dollar comparison may include a return on marketing objective calculation. If applicable, budget re-allocations are recommended. Optionally, post effectiveness, efficiency, and allocation analysis are performed. Such analysis may include providing descriptive advertising and media suggestions on each media independently. | 12-22-2011 |
20110320241 | SYSTEMS AND METHODS FOR EVALUATING PERFORMANCE OF AFTERMARKET VEHICLE PART SALES - A system and method for evaluating the performance of aftermarket vehicle part sales for assortment planning, the method including: receiving a vehicle part identifier associated with a vehicle part to be evaluated, receiving information related to vehicles in operation in a given market, receiving product information related to the vehicle part, receiving sales information related to the vehicle part in the given market, processing the information related to vehicles in operation in a given market, the product information related to the vehicle part and the sales information related to the vehicle part to produce an evaluation of the aftermarket performance of the vehicle part sales, and generating an evaluation report of the aftermarket performance of the vehicle part sales. | 12-29-2011 |
20120004949 | METHOD AND SYSTEM FOR USING A BAYESIAN BELIEF NETWORK TO ENSURE DATA INTEGRITY - The present invention relates to a method and system for assessing the risks and/or exposures associated with financial transactions using various statistical and probabilistic techniques. Specifically, the present invention relates to a method and system for identifying plausible sources of error in data used as input to financial risk assessment systems using Bayesian belief networks as a normative diagnostic tool to model relationships between and among inputs/outputs of the risk assessment system and other external factors. | 01-05-2012 |
20120016718 | DYNAMIC PRICING - The system and method of the present invention includes a predictive model for ticket sales. In one embodiment, the model predicts ticket sales as a function of the quality of the event and the quality of the section in which the seat is located over a range of ticket prices. The present invention also includes a system and method for dynamically pricing tickets wherein the aforementioned sales projections, coupled with real-time factors relating to the characteristics of the game and the remaining tickets, are used to optimize ticket prices to maximize revenue at the venue. | 01-19-2012 |
20120022916 | DIGITAL ANALYTICS PLATFORM - A digital analytics system includes a client profile database operable to store client profile data for clients. A client identification unit identifies the client profile data corresponding to a first client of the clients. An analytics engine is operable to identify descriptive and predictive analytic solutions corresponding to the client profile data of the first client, and receive a selection of one or more of the identified descriptive and predictive analytic solutions selected by the first client. The analytics engine is further operable to perform the descriptive and predictive analytic solutions selected by the first client and simultaneously perform one or more descriptive and predictive analytics solutions selected by a second client of the clients. | 01-26-2012 |
20120022917 | SYSTEM AND METHOD FOR EVALUATING A CLIENT BASE - The present disclosure describes novel systems and methods that can be utilized to evaluate and/or direct an interaction with a consumer database and/or evaluate a consumer database, where the consumer database contains information about consumers and particular products and/or services held or used by the consumers. The interactions may be, for example, determining a strategy for sales, marketing, cross-selling, and/or retaining one or more of the consumers. The evaluations may include, for example, hierarchically ranking the consumers and/or determining a clustering of the consumers. | 01-26-2012 |
20120035982 | System For Providing Retail Store Information - A system for providing retail store information is described. Specifically, the system enables store inventory and sales data to be delivered to a mobile device in retail stores. The system may comprise a data warehouse, a data access object, a web service, a data transmission server, and a mobile device. The data warehouse may store and process store inventory and sales data. The data access object may provide an interface to the data warehouse. The web service may format data for transmission to an internet network. The data transmission server may transmit data to the mobile device. The mobile device may display requested store inventory and sales data. | 02-09-2012 |
20120059685 | System for Generating a Housing Price Index - A computer system for automated generation of a housing price index is provided. The system can receive transaction data relating to the sale of a house or apartment and generate a hedonic price index based on the received transaction data for a specified period. The system can further be configured to continuously determine an estimate of the price index for the current period based on received new transaction data. The housing price index can be disseminated in real time, the method and system as described herein significantly reduces the risk for market manipulation and insider trading in a financial instrument relying on a housing price index. This is obtained by continuously generating an estimate of the index as deal data is generated an input into the system. | 03-08-2012 |
20120066024 | Apparatus, Method and System for Designing and Trading Macroeconomic Investment Views - The disclosure details the implementation of an apparatus, method, and system for a macroeconomic equity investment design and trade system (the Wavefront system). The disclosure teaches a set of quantitative tools to help investors design trades around macro themes. Part of the approach is a linked set of models called Wavefronts, which describe how economic shocks ripple through the economy into company performance, market value and equity returns in the US market. In one embodiment, the modeling may be viewed as having in three parts. The first converts an economic shock into a comprehensive set of shifts in the economy. The second takes those economic shifts and drives them into company fundamentals. The third values those fundamentals based on what the market normally pays. As a consequence, the Wavefront system maps economic views and risks into predictions of what the market will pay for those changes, and the industries and companies that will over- and under-perform, which allows for and results in the construction of more risk-efficient portfolios. In an alternative embodiment, the Wavefront system may also inverse the progression of the three parts to uncover and move industry specific information to uncover macroeconomic themes. | 03-15-2012 |
20120066025 | ASSESSING ADOPTION OR UTILIZATION OF A MEDICAL PRODUCT - In various embodiments, the present disclosure provides systems, computer-readable media and methods for assessing adoption or utilization of a medical product. In various embodiments, a request for observations by the sales representative relating to a plurality of observable factors that potentially influence adoption or utilization of the medical product by one or more providers may be caused to be presented to a sales representative for the medical product, at a computer system of the sales representative. In various embodiments, numeric data corresponding to observations by the sales representative relating to the plurality of observable factors may be received. In various embodiments, assessment of the numeric data may be facilitated to identify one or more observed factors of the plurality of observable factors that influence adoption or utilization of the medical product. | 03-15-2012 |
20120084118 | SALES PREDICATION FOR A NEW STORE BASED ON ON-SITE MARKET SURVEY DATA AND HIGH RESOLUTION GEOGRAPHICAL INFORMATION - A method for predicting sales for a new store in a certain geographical area is disclosed, the method comprising geographic and non-geographic information and customer segmentation in the area to estimate sales and optionally the impact on existing competitor stores. | 04-05-2012 |
20120084119 | METHOD AND SYSTEM FOR EXCESS INVENTORY MANAGEMENT - A method for managing excess inventory includes receiving a physical shipment of goods and submitting a description and expiration date of each inventory item in the physical shipment of goods to an inventory management application. The inventory management application tracks number of units of each inventory item at the merchant. The method further includes, at a predefined timeframe prior to the expiration date, receiving a notification when a forecast of the number of unit of an inventory item remaining in the inventory at the expiration date is greater than a pre-defined threshold, selecting a buyer network of a plurality of buyer networks for selling the inventory item to generate a selected buyer network, and selling the inventory item via the selected buyer network. | 04-05-2012 |
20120095804 | SALES OPTIMIZATION SYSTEM - A sales optimization system includes a forecasting module to determine forecasts for sales metrics, an optimization module to determine recommended actions for achieving sales goals, and a user interface to generate scorecards indicating actual vales for the sales metrics, forecasts for the sales metrics, and the recommended actions to improve the sales metrics. The forecasting module determines quantifications for forecasting variables, and the forecasts are determined based on the forecasting variables. The optimization module determines factors estimated to have impacted the sales metrics, and the recommended actions based on the factors. | 04-19-2012 |
20120109710 | RETAIL TIME TO EVENT SCORECARDS INCORPORATING CLICKSTREAM DATA - The current subject matter provides the ability to infer a richer customer profile using clickstream data obtained in connection with the traversal of a website by a customer. In some cases, this clickstream data is used in connection with in-store point of sale data and inputted into a Time to Event scorecard model in order to identify transactions (e.g., offerings, campaigns, etc.) to be initiated. Related apparatus, systems, techniques and articles are also described. | 05-03-2012 |
20120109711 | SYSTEM AND METHOD FOR PROFILING CUSTOMERS FOR TARGETED MARKETING - A targeted marketing system and method are provided that provide a customer with customer questions, receive responses to the customer questions from the customer, and store data associated with the responses. The customer is provided with a feedback page that graphically illustrates data associated with the customer's standing in a selected peer group. The customer is provided with options operable to adjust the customer's actual demographic to a hypothetical demographic, and data associated with hypothetical demographic changes from the customer is received and processed. Hypothetical feedback information is then displayed that graphically illustrates the hypothetical standing of the customer within the selected peer group such that the customer can see the effect of the hypothetical demographic changes. | 05-03-2012 |
20120109712 | METHOD AND SYSTEM FOR AUTOMATICALLY GENERATING FORECASTS - A method and system for defining and generating forecasts. The forecast system receives a forecast definition from a user, generates a forecast in accordance with the forecast definition, stores a forecast snapshot of the generated forecast, and presents to users forecast information derived from the forecast snapshots. A forecast definition specifies the participants to be included in a forecast and when to generate the forecast. At the scheduled time, the forecast system automatically generates the forecast and stores the forecast snapshot. | 05-03-2012 |
20120116841 | SYSTEM FOR MODELING DRINK SUPPLY AND DEMAND - A system for modeling supply and demand. The system can include a processor configured to aggregate material information, determine a product lineup based on the aggregate material information, and determine a consumer demand based on a consumer liking of the product lineup. The material information can include quantity information, availability information, and quality information. The material information can be variable. | 05-10-2012 |
20120116842 | DRINK PRODUCTION PROCESS SIMULATOR - A system for simulating drink production. The system can include a processor configured to aggregate existing material information, receive predicted material information, aggregate production information, receive timing information of at least one drink product, model consumer liking of the at least one drink product, and determine a production plan based on the existing material information, the predicted material information, the production information, the timing information and the consumer liking. The existing material information can be associated with a beverage input of at least one drink product. The predicted material information can be associated with the beverage input of the at least one drink product. The production information is associated with production resources of the at least one drink product. | 05-10-2012 |
20120116843 | ASSESSING DEMAND FOR PRODUCTS AND SERVICES - Concepts for new/different products, services, or bundles of products and/or services are tested using discrete choice modeling, and, in some instances a combination of discrete choice modeling and monadic concept testing. In one embodiment, monadic and discrete choice data are gathered at the same time and combined. Discrete choice modeling data is then used to generate specific diagnostic information, and a web-enabled interface facilitates choices among the concepts. | 05-10-2012 |
20120116844 | TRAVEL PRICE OPTIMIZATION (TPO) - TPO is an industry-neutral price optimization solution that recommends optimal prices by performing a simultaneous evaluation of all network-wide demand and supply considerations. TPO produces an optimal time-phased price profile designed to achieve the greatest return on inventory. An optimizer technique takes the baseline demand forecasts, competitive intelligence, inventory data, and other related parameters and data representing real-world objects, and determines the optimal prices at which the user will achieve the greatest return on inventory. The optimizer technique can be directed to maximize revenues, profits, or market share. TPO produces a recommended price profile, that can be manipulated in an interactive graphical user interface, and illustrates what price must be charged now, and what prices must be charged later in the booking cycle. Using price sensitive forecasting to estimate how price impacts demand, TPO helps users to maximize revenues, profits, or market share. TPO recommends prices by dated-resources or dated DFUs. | 05-10-2012 |
20120143652 | SALES VOLUME MONITORING - Various embodiments of systems and methods for sales volume monitoring are described herein. Booked sales volume for a future time period and forecasted sales volume for the future time period are received. A first value is determined for a future time period as a ratio of the booked sales volume for the future time period and the forecasted sales volume for the future time period. Booked sales volume and past sales volume for one or more past time periods that are analogous to the future time period are also received. A second value is determined from a ratio of the booked sales volume and the past sales volume for the one or more past time periods. A responsible party is notified if a ratio of the second value and the first value is out of a prescribed range. | 06-07-2012 |
20120143653 | RETAIL PLANNING APPLICATION AND METHOD FOR CONSUMER PRODUCTS - An improved forecasting and modeling tool for planning and estimating sales of consumer products, including social expression products in a retail operation. The tool enables retailers to create a plan based on information shared between the retailer and vendor of social expression products. The methodology employed begins with actual sales totals for the prior term and the plan goal for the current term and provides financial calculations based on a variety of factors to determine the sales bridge needed to meet the current term goal. Information relating to actual sales, significant events, door activity, current forecast, trending data, and vendor initiatives are input into the application and are used in financial calculations to determine a current term sales plan. | 06-07-2012 |
20120150584 | DESIGN OF WARRANTY BONUSES FOR PRODUCTS - Systems, methods, and computer-readable and executable instructions are provided for designing warranty bonuses. Designing warranty bonuses can include determining, for a customer base of a product, a first probability that a customer will replace the product with a different product. Designing warranty bonuses may also include determining, for the customer base, a marginal contribution to the first probability for a plurality of warranty bonus sizes and a plurality of warranty bonus types. Designing warranty bonus can include determining, for the customer base, a second probability that the customer will purchase a warranty for the plurality of warranty bonus sizes and the plurality of warranty bonus types. Designing warranty bonuses may also include bundling the product and the warranty, and assigning a number of the plurality of warranty bonus sizes and a number of the plurality of warranty bonus types to the product-warranty bundle based on the first and second probabilities and the marginal contribution. | 06-14-2012 |
20120158456 | Forecasting Ad Traffic Based on Business Metrics in Performance-based Display Advertising - A method, advertising network, and computer readable medium for forecasting ad traffic based on business metrics in performance-based display advertising. The method commences by defining a set of advertising campaign parameters, the advertising campaign parameters comprising target predicates, a campaign pricing model, and a campaign performance model. The method continues by forecasting a supply of impressions satisfying target predicates, based on a statistical analysis of a historical dataset containing impressions satisfying target predicates. Once a measure of forecasted supply is known, an auction model serves for calculating the likelihood of winning the forecasted impression at auction, based the campaign pricing model and the campaign performance model. Having a forecasted supply, and also an assessment of the likelihood of winning at auction, the method proceeds by determining values for various performance metrics. The performance metrics are displayed; the user makes changes to any one or more of the advertising campaign parameters. | 06-21-2012 |
20120158457 | Determining an Inventory Target for a Node of a Supply Chain - Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias. | 06-21-2012 |
20120158458 | Method And Apparatus For Pricing Products In Multi-Level Product And Organizational Groups - In one embodiment, various pricing tables and price adjustment tables and various products and purchasing organizations are organized based on “who” (i.e. which purchasing organization) is purchasing “what” (i.e. which product). In one embodiment, various purchasing organizations and products are organized into respective organizational groups and product groups. Various price adjustments may be specified for each level of the organizational groups and product groups hierarchies. In one embodiment, the price adjustments for a particular purchasing organization are determined by retrieving the price adjustments for that particular purchasing organization and the price adjustments for organizational groups above the particular purchasing organization in the organizational groups hierarchy. Likewise, the price adjustments for a particular product are determined by retrieving the price adjustments for that particular product as well as the price adjustments for product groups above the particular product in the product groups hierarchy. | 06-21-2012 |
20120173303 | ALLOCATING COMMODITY SHELVES IN A SUPERMARKET - A method of and a system for allocating commodity shelves including obtaining shopping paths of customers, classifying the customers according to a predetermined standard, determining one or more shopping paths adopted by more customers in each kind of customers as frequent shopping path(s) of this kind of customers, calculating a see-buy rate of a commodity for each class of customers. The see-buy rate of a commodity for a class of customers refers to a probability to purchase the commodity for the class of customers. Calculating a shelf where each commodity in a set of commodities is located when the total expected benefits for set of commodities are maximized during a certain period of time. The total expected benefits include a sum of an expected benefit for the each commodity based on the see-buy rate and the frequency shopping path when each commodity is located in its own shelf. | 07-05-2012 |
20120173304 | COMPONENT ORDER QUANTITY DETERMINATION DEVICE AND COMPONENT ORDER QUANTITY DETERMINATION PROGRAM - The part order quantity determination device has an input unit receiving an input such as an allowable out-of-stock rate of each product, a storage unit storing the allowable out-of-stock rate of each product, constituent parts of each product, the number of parts, a demand quantity distribution product by product, and an order quantity of each part, a part-by-part order information calculation unit virtually calculating a demand quantity in each calculation period from the demand quantity distribution of each product, calculating a necessary quantity of constituent parts by multiplying the calculated demand quantity with the number of constituent parts, calculating an order quantity of each part, calculating an out-of-stock rate of each product, calculating an out-of-stock rate of each part at which the out-of-stock rate of each product does not exceed the allowable out-of-stock rate, and determining the order quantity, and a display unit displaying the order quantity of each part. | 07-05-2012 |
20120185298 | SYSTEM AND METHOD FOR FORECASTING AND PAIRING ADVERTISING WITH POPULAR WEB-BASED MEDIA - A system and method for identifying whether certain web-based media or web-based videos are likely to become popular is provided. Videos that are identified as having a strong likelihood of becoming popular with a particular demographic group are paired to advertisements or other media appropriate for the particular demographic group. Videos that are likely to be popular are identified by measuring early input rates such as request rates, replay rates, comment rates, forwarding rates and reply rates. Input rate patterns including pattern segments correlated to inputs from a particular demographic group are identified. | 07-19-2012 |
20120191505 | PREDICTING DYNAMIC TRANSPORTATION DEMAND WITH MOBILITY DATA - A travel information server estimates travel demand with mobility data. The server identifies activity types of users based, at least in part, on mobility data of the users. The mobility data has been collected over time and indicates at least locations and corresponding times at the locations. Travel information is generated with the mobility data for each of the activity types. The travel information for a first of the activity types is adjusted based, at least in part, on travel-related event data that corresponds to the first activity type to generate an adjusted travel information for the first activity type. The travel-related event data indicates an event that potentially influences travel for a short term. computing an estimated travel demand with a combination of the adjusted travel information for the first activity type and the travel information for at least a second of the activity types. | 07-26-2012 |
20120191506 | FINANCIAL DATA NORMALIZATION SYSTEMS AND METHODS - Systems and methods are described for generating indexed sales data by aggregating point of sale (POS) datasets are aggregated from transactions at a plurality of POS terminals. The POS datasets for each transaction include a transaction amount, a merchant classifier, and a transaction time. An industry subset of the aggregated POS datasets is obtained for a given timeframe based on the merchant classifier. This industry subset comprises transactions for a given industry. A sales value is calculated for the industry subset, and a monthly fluctuation factor is applied to the sales value. Also, a normalization factor is applied to the sales value based on a percentage of the sales value relative to an overall market size to obtain the indexed sales value. | 07-26-2012 |
20120197683 | SYSTEM AND METHOD FOR CONSERVING ENERGY RESOURCES THROUGH STORAGE AND DELIVERY OF RENEWABLE ENERGY - A system for encouraging the use of renewable energy sources and suitable for the conservation of energy resources through the efficient management of energy storage and delivery includes connections to a power source, an energy storage subsystem, and a power grid. The system includes a power routing subsystem coupled to the source and grid, and adapted to operate in a bypass mode, in which energy is transferred from the source to the grid. The system includes a conversion subsystem coupled to the routing and storage subsystems, and switchable in substantially real-time between a storage mode, in which energy is transferred from the routing to the storage subsystem, and a generation mode, in which energy is transferred from the storage to the routing subsystem for delivery to the grid. The system also includes a controller for directing the modes based at least in part on a market factor. | 08-02-2012 |
20120209659 | COUPLING DEMAND FORECASTING AND PRODUCTION PLANNING WITH CHOLESKY DECOMPOSITION AND JACOBIAN LINEARIZATION - A method, system and computer program product for coupling forecasting and planning in a production planning tool is provided. In an embodiment of the invention, a method for coupling forecasting and planning in a production planning tool is provided. The method includes invoking a forecasting module in a production planning tool executing in memory of a computer upon demand data to compute a forecasting model. The method also includes retrieving a stochastic vector from the computed forecasting model for a product, the stochastic vector expressing vector of expected values of demand for the product, and linearizing the stochastic vector in a matrix describing a linear model for demand of the product. The method further includes providing the linearized stochastic vector to a stochastic linear program (LP) relaxation of a planning module of the production planning tool. | 08-16-2012 |
20120209660 | FUEL PRICE DATA GENERATION - A computer-implemented method of generating fuel price data for each of a plurality of associated retail fuel sites, the method being implemented in a computer comprising a memory in communication with a processor. The method comprises receiving, as input to the processor, a total volume fuel sales target for the plurality of associated retail fuel sites and processing, by the processor, the total volume fuel sales target for the plurality of associated retail fuel sites to generate volume fuel sales targets for each of the plurality of associated retail fuel sites. The volume fuel sales targets for each of the plurality of associated retail fuel sites is processed, by the processor, to generate the fuel price data. | 08-16-2012 |
20120209661 | FORECAST AND DEMAND BASED PRICE CALCULATION - An online sales/automatic rebate and coupon redemption system provides online customers automatic retrieval and redemption of all applicable rebates and coupons during purchase. Purchase orders from customers are selectively fulfilled and products are shipped to the customers either by the system for online sales with automatic rebate and coupon redemption or by other merchant or manufacturer environments. The system purchases from merchants using applicable coupons and rebates and then sells the products to the customers, passing the savings to them. The system makes it possible to automatically retrieve coupons and rebates for items in a shopping cart during the activity of an online purchase at an electronic mall or an online merchant site. The system provides coupons to potential customers via email, based on customer profile, geographical information, etc. Manufacturers and merchants can update coupon value and content based on ongoing sales and volume of customer activity. | 08-16-2012 |
20120209662 | Dynamic Pricing - The system and method of the present invention includes a predictive model for ticket sales. In one embodiment, the model predicts ticket sales as a function of the quality of the event and the quality of the section in which the seat is located over a range of ticket prices. The present invention also includes a system and method for dynamically pricing tickets wherein the aforementioned sales projections, coupled with real-time factors relating to the characteristics of the game and the remaining tickets, are used to optimize ticket prices to maximize revenue at the venue. | 08-16-2012 |
20120215586 | PREDICTING DYNAMIC TRANSPORTATION DEMAND WITH MOBILITY DATA - A travel information server estimates travel demand with mobility data. The server identifies activity types of users based, at least in part, on mobility data of the users. The mobility data has been collected over time and indicates at least locations and corresponding times at the locations. Travel information is generated with the mobility data for each of the activity types. The travel information for a first of the activity types is adjusted based, at least in part, on travel-related event data that corresponds to the first activity type to generate an adjusted travel information for the first activity type. The travel-related event data indicates an event that potentially influences travel for a short term computing an estimated travel demand with a combination of the adjusted travel information for the first activity type and the travel information for at least a second of the activity types. | 08-23-2012 |
20120215587 | Tier-based Dynamic Incentive Arbitration in an On-Demand Computing Environment - A system for allocating resources which are anticipated to be available in an on-demand computing at some time in the future, wherein a producer trending agent (PTA) lists resources according to a trend prediction of resource availability in the past, a consumer trending agent (CTA) places bids for listed resources according to previous resource usage trends, and an arbitration system (REAS) matches the bids with the listings to determine if a match exists. If so, a binding contract for consumption of the matched listed resources is established. The PTA also produce tier-based dynamic incentive (TDI) schema which divides potential bidders into tiers, and offers additional resource incentives according to the tiers. Both PTA and CTA dynamically update their available/usage trends, listings and bids, over time. | 08-23-2012 |
20120232952 | INVENTORY PRICE OPTIMIZATION - A method for selectively adjusting a price associated with an inventory stock keeping unit (SKU) stored in a catalog database of a plurality of inventory SKUs is disclosed. At least a subset of the plurality of inventory SKUs in the catalog database are retrieved. A total sales volume value of a sum of each of the sale quantity values associated with the inventory SKUs is generated. An ordered list of the retrieved inventory SKUs based upon a ranking of the associated sale quantity values is generated. Each of the retrieved inventory SKUs are assigned to a one of a plurality of sales segment categories that is based upon the total sales volume value. There is a step of generating a revised price value for each of the associated inventory SKUs in a selected one of the assigned sales segment categories. A revised list of the retrieved inventory SKUs with the revised price values substituted for the initial price values. | 09-13-2012 |
20120239455 | TRAVEL-RELATED PREDICTION SYSTEM - A method and system is provided for making price-related predictions of items based on training a classifier using historical information including pricing information for the items and labels relating to the price-related information that are generated automatically from the historical information. A prediction system provides price-related predictions for airline tickets. The prediction system collects flight information for flights on a daily basis. The prediction system generates training data to train a classifier to make the price-related predictions using the flight information. After training the classifier, the prediction system then can make the price-related predictions for a trip. | 09-20-2012 |
20120239456 | CATEGORY ANALYSIS MODEL TO FACILITATE PROCUREMENT OF GOODS AND SERVICES - A category analysis model to facilitate strategic procurement is disclosed. The model can be created by receiving and arithmetically totaling numerical demand characteristics input for each of a plurality of goods and services, and receiving and arithmetically totaling numerical supply characteristics input for each of the plurality of goods and services. Supply and demand characteristics can be input by a user into software such as a spreadsheet, or interactively. The arithmetic totals of supply characteristics are graphically plotted against arithmetic totals of demand characteristics for each of the plurality of goods and services to produce a strategic procurement guide. The strategic procurement guide can then be displayed to a user. In example embodiments, the strategic procurement guide indicated that goods and services are in a clear strategic procurement category, a possible strategic procurement category, possible procurement category, and a clear procurement category. | 09-20-2012 |
20120245977 | SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR MODELING UNCERTAIN FUTURE BENEFITS - Systems, methods and computer program products are provided for modeling future benefits. According to the method, modeling future benefits begins by defining a growth rate for the good for each time segment of a period of time, where the period of time includes a plurality of time segments. An uncertainty for the good is then determined for each time segment. Next, a benefit distribution is determined for each time segment based upon the growth rate and uncertainty for the respective time segment. Finally, a benefit value is selected for each time segment by randomly selecting each benefit value based upon a respective benefit distribution to thereby model future benefits over the period of time. | 09-27-2012 |
20120253886 | Systems and Methods for Client Development - Included are systems and methods for client development. Some embodiments may include receiving a client roster for an entity, the client roster including a plurality of clients, receiving client billing data for the plurality of clients, and computing billing trend data for the plurality of clients. Similarly, some embodiments are further configured to generate a user interface for display that provides the billing trend data according to a plurality of fields. The user interface may include a filtering user option to alter the user interface by filtering at least one of the plurality of fields and a report option to generate a report that comprises at least a portion of the billing trend data. Similarly, some embodiments are configured to generate the report in response to selection of the report option and alter the report in response to selection of the filtering user option. | 10-04-2012 |
20120265580 | DEMAND PREDICTION DEVICE AND DEMAND PREDICTION METHOD - A demand prediction device and a demand prediction method capable of performing demand prediction with higher accuracy. A demand prediction server includes a data acquisition unit acquiring estimated population information that indicates population estimated in a predetermined area, a spatial weighing unit acquiring relative distance information that indicates a distance between a position of a prediction reference area included in the predetermined area and a position of a prediction target area for which the number of demands is to be predicted with the prediction reference area as a reference, and a regression analysis unit and a demand prediction unit for, by performing regression analysis using the estimated population information acquired by the data acquisition unit and a residual based on the relative distance information acquired by the spatial weighing unit, predicting the number of demands in the prediction target area. | 10-18-2012 |
20120265581 | System and Method for Multi-Enterprise Supply Chain Optimization - A method of optimizing multi-enterprise supply chain agreements using an electronic scenario based option contract includes creating at a buyer computer a plurality of scenarios of forecasted demand for one or more products and communicating from the buyer computer to a seller computer an offer to enter into an option contract for the supply of the one or more products, the option contract including an option corresponding to each of the plurality of scenarios of forecasted demand. The method further includes executing the option contract, receiving at the buyer computer an indication of current buyer demand for at least one scenario associated with the one or more products, and exercising at least a portion of the option in the option contract based at least in part on the indicated buyer demand. | 10-18-2012 |
20120271679 | METHOD AND SYSTEM FOR SIMULATING THE DEVELOPMENT OVER TIME OF BOOKINGS SITUATIONS - A method for simulating the development over time of bookings situations for flights. It is proposed that a first number of hard parameters which include at least one flight schedule between at least two departure and arrival points, and a second number of soft parameters which include at least one fare for a flight between the at least two departure and arrival points, are provided, as well as a virtual environment which constitutes a representation of a real environment in which virtual passengers book flights under conditions defined in each case by the parameters. The pattern over time of the totality of all bookings is recorded and can be displayed on a display device and wherein a user influences the respective bookings situations by prior adjustment of at least one of the soft parameters. | 10-25-2012 |
20120278129 | EMBEDDING CALENDAR KNOWLEDGE IN EVENT-DRIVEN INVENTORY FORECASTING - Systems and methods for automatically forecasting the future availability of one or more resources, such as Internet advertising opportunities, are described herein. In accordance with various embodiments, a forecasting model that accounts for event-driven resource availability is trained based both on historical supply data and calendar information specifying events and event duration. The trained forecasting model is then used to forecast the availability of resources at one or more specified future time periods. In accordance with certain embodiments, the forecasting model comprises a Gaussian process model that has an event-driven kernel as a covariance function. | 11-01-2012 |
20120278130 | MOBILE TRAFFIC FORECASTING USING PUBLIC TRANSPORTATION INFORMATION - Technologies are generally described for mobile traffic forecasting using public transportation information. In some examples, a method performed under the control of a mobile traffic forecasting system may include receiving payment information of a public transportation, and estimating mobile traffic for one or more base stations on a route of the public transportation based on the payment information of the public transportation. | 11-01-2012 |
20120284083 | System and method for merchandise distribution - A lightweight merchandise distribution system for online group-buying is provided. The distribution system comprises a computer server, a plurality of small distribution centers, and a plurality of delivery entities. The computer server comprises a merchandise sales-prediction module and a distribution center-optimization module. Before a product is featured on a group-buying website, the number of small distribution centers is set up in a densely populated city based on the center-optimization result. The featured product is then pre-allocated to each distribution center based on the sales-prediction result. Each delivery entity comprises a delivery person, a wireless handheld device, and a delivery vehicle. The delivery person preloads the featured products onto the delivery vehicle before receiving any order. The delivery person delivers the ordered product by the delivery vehicle once the purchase order is received from the wireless handheld device. | 11-08-2012 |
20120284084 | SCALABLE REGRESSION FOR RETAIL PANEL DATA - Systems, methods, and other embodiments associated with scalable regression for retail panel are described. In one embodiment, a method includes performing a regression that estimates elasticity of demand for a retail item, wherein the regression is performed on a transformation of a demand model that does not include variables associated with base demand or seasonality. In a subsequent processing step, the method includes estimating a base demand and seasonality for the retail item based, at least in part, on the estimated elasticity of demand. The method may be performed in a database that stores retail panel data for the retail item and other retail items. | 11-08-2012 |
20120290357 | IDENTIFYING INDUSTRY SEGMENTS WITH HIGHEST POTENTIAL FOR NEW CUSTOMERS OR NEW SPENDING FOR CURRENT CUSTOMERS - A method and system are used to identify industry segments with highest potential for new customers or new spending for current customers. This includes receiving data, segregated into each of a plurality of industries, relating to a number of small businesses, cost of goods sold for each of the small businesses, and percentage of cost of goods sold that is spent on raw materials and inventory for each of the small businesses. Capturing data, segregated into each of the plurality of industries, relating to average amount charged per current card member, percentage of the current card members charging the raw materials and the inventory, percentage of card member penetration, and total estimated charging for the current card members. Determining which of the plurality of industries or segments are available for a highest potential for new card members. | 11-15-2012 |
20120296698 | Method and Apparatus of Forecasting Repurchase Inclination - The present disclosure and data processing technology discloses a method and apparatus of forecasting repurchase inclinations of one or more clients. The disclosed technique improves the forecast accuracy of the clients' repurchasing inclination. The method includes: retrieving a list of a plurality of target clients from a specified storage location; determining historical benefits and a variation trend in historical benefits for at least one client based on respective historical benefits within a specified range of time; determining a purchasing power parameter and a degree of maturity for the client; computing a comfort level score for the client based on the respective historical trends, variation trend in historical benefits, purchasing power parameter, and degree of maturity; and determining a list of clients with repurchase inclination, the list of clients with repurchase inclination including those clients having a respective comfort level score satisfying a threshold condition. | 11-22-2012 |
20120296699 | METHODS AND APPARATUS TO PREDICT NEW PRODUCT PERFORMANCE METRICS - Methods and apparatus are disclosed to predict new product performance metrics. An example disclosed method includes selecting a product hierarchy tree based on a distribution measure for a new product, identifying a segment location of the product hierarchy tree for the new product, retrieving a relationship matrix associated with the segment location of the product hierarchy tree, the relationship matrix comprising available product performance coefficients and attribute information, identifying a spatial location for the new product in the relationship matrix based on the attribute information, calculating, using a programmed processor, an impact parameter based on the spatial location within the relationship matrix, and calculating the performance metric for the new product based on the impact parameter and a channel sales value. | 11-22-2012 |
20120303410 | DEMAND MODELING IN RETAIL CATEGORIES USING RETAIL SALES DATA SETS WITH MISSING DATA ELEMENTS - A system, method and computer program product provides for accurate demand modeling and forecasting in retail categories using retail sales data sets with missing data values, in order to enable a variety of retail decision-support applications. | 11-29-2012 |
20120303411 | DEMAND MODELING AND PREDICTION IN A RETAIL CATEGORY - System, method and computer program product for demand modeling and prediction in retail categories. The method uses time-series data comprising of unit prices and unit sales for a designated choice set of related products, with the time-series data obtained over a given sequence of sales reporting periods, and over a collection of stores in a market geography. Other relevant data sets from participating retail entities that include additional product attribute data such as market and consumer factors that affect retail demand are further used. A demand model for improved accuracy is achieved by individual sub-modeling method steps of: estimating a model for price movements and price dynamics from the time series data of unit-prices in the aggregated sales data; estimating a model for market share of each product in the retail category using the aggregated sales data and integrated additional product attribute data; and, estimating generating a model for an overall market demand in the retail category from the aggregated sales data. | 11-29-2012 |
20120303412 | PRICE AND MODEL PREDICTION SYSTEM AND METHOD - Data relating to products sold across a plurality of merchants may be gathered from a variety of sources and processed, including with machine learning components. Identifiers of a same product sold by different merchants may be de-duplicated and/or matched as part of the data processing into a smaller set of uniquely identified products. When the data comes from text, including free-form text, an information extraction and/or machine learning component may be used to detect references to new and known unique products, including product successors (e.g., new product models). Product successor availability may be determined based on gathered data. Product price movement direction predictions, and/or product price range predictions may be determined, as well as purchase-timing recommendations (e.g. Buy or Wait). Such recommendations may be provided for presentation (e.g., to prediction service users) in a variety of forms. | 11-29-2012 |
20120303413 | METHODS AND SYSTEMS FOR NETWORK TRAFFIC FORECAST AND ANALYSIS - A computer-implemented method and system are provided for forecasting traffic load on a communications network driven by market factors. | 11-29-2012 |
20120303414 | METHODS AND APPARATUS TO DETERMINE EFFECTS OF PROMOTIONAL ACTIVITY ON SALES - Example systems, methods, processes, and apparatus for determining expected base sales for a product include obtaining sales data for a product sold at a point of sale location. The sales data can be organized in a time series according to a predetermined time period. The method further includes identifying a promotional event for at least one of the product and the point of sale location and excluding sales data corresponding to the promotional event. The remaining sales data is processed using a smoothed moving average model involving a plurality of passes through the remaining sales data. Expected base data for the product is generated based on the smoothed moving average model and output to a user. | 11-29-2012 |
20120310704 | COMPUTING MARKETING SCENARIOS BASED ON MARKET CHARACTERISTICS - A technique for determining and presenting marketing scenarios based on market characteristics are described herein. The technique includes receiving data regarding market environment and an expected change in the market environment. A number of market characteristics are calculated based on the collected data for a number of alternative marketing scenarios for addressing the change. A number of graphical objects corresponding to the marketing scenarios are displayed in a coordinate system to show correlation between a number of selected market characteristics. A number of additional components are assigned to the graphical objects to indicate additional characteristics of the presented marketing scenarios. | 12-06-2012 |
20120310705 | METHOD AND SYSTEM FOR SEPARATING DEMAND MODELS AND DEMAND FORECASTS INTO CAUSAL COMPONENTS - According to some embodiments, a method and system provides separating demand models and forecasts into demand components thereof. The methods include receiving a demand model to forecast a demand for a product or service; decomposing the demand model into a plurality of distinct demand components, each of the demand components associated with a causal contribution to a demand for the product or service; and generating a demand forecast including an indication of the plurality of demand components associated with the causal contributions contributing to the demand forecast for the product or service. Some embodiments include a method to determine demand components of a demand model for a product or service based on historical data. | 12-06-2012 |
20120310706 | REVENUE MANAGEMENT SYSTEM AND ASSOCIATED METHOD - A revenue management system comprising a first revenue management route which includes a forecast module and an optimization module and which calculates expected revenue for sales of inventory items based on historical data; a second revenue management route which is selected if the confidence in the forecasting in the first route is below a predetermined value. | 12-06-2012 |
20120310707 | ESTIMATION OF TRANSIT DEMAND MODELS FOR ENHANCING RIDERSHIP - A method of estimating a transit demand graph includes collecting conditional information that includes at least one condition that when satisfied converts at least one non-rider into a rider, generating a non-rider transit demand graph by satisfying one of the conditions, and generating a normalized transit demand graph from the non-rider transit demand graph and a rider transit demand graph. The riders use public transit and the non-riders do not use public transit. The non-rider transit demand graph shows the demand of the non-riders for a public transit route. The rider transit demand graph shows the demand of riders for the same public transit route. | 12-06-2012 |
20120316918 | VALUE-GENERATING ALTERNATIVES TO USING VIRTUAL CURRENCY - In various embodiments, the present disclosure provides systems, computer-readable media and methods for presenting a user with value-generating alternatives to consuming virtual currency. In some embodiments, it may be determined that a user wishes to consume a content of the service provider, using virtual currency of the user. Usage of the user's virtual currency may generate or potentially generate a first value for the service provider. A value-generating alternative may be selected from a plurality of value-generating alternatives for the user to consume the content, in lieu of using the virtual currency of the user. The selected value-generating alternative may generate or potentially generate a second value for the service provider that is greater than the first value. The selected value-generating alternative may be caused to be presented to the user for the user to consume the content, in lieu of using the virtual currency of the user. | 12-13-2012 |
20120316919 | SYSTEMS AND METHODS FOR BUY AND HOLD PRICING - Methods and systems for calculating parameters for a transaction that includes item purchase, item storage, and item sale, by receiving input parameters related to the transaction and executing a software module that is responsive to at least some of the input parameters to concurrently calculate optimized or maximized output transaction parameters comprising purchase cost of items, selling price of items, and item inventory forecasts, while meeting tradeoffs between or among, and meeting constraints relating to, the output parameters. | 12-13-2012 |
20120316920 | AUTOMATED SPECIFICATION, ESTIMATION, DISCOVERY OF CAUSAL DRIVERS AND MARKET RESPONSE ELASTICITIES OR LIFT FACTORS - In some embodiments, a software facility performs a method of automated specification of models, estimation of elasticities, and discovery of drivers using the framework(s) discussed elsewhere herein is provided. The facility first obtains the client, business, and/or brand goals in terms of profit optimization, volume or revenue goals, acquisition of new customers, retention of customers, share of wallet and upsell. In conjunction with these goals, the facility obtains cross-section meta-data related to the planning time horizon, markets, geographies, channels of trade and customer segments. In combination, the goals and meta-data define the structure of the data stack and the number of demand generation equations that are needed. | 12-13-2012 |
20120323631 | SYSTEMS AND METHODS FOR TRACKING INDUSTRY SPEND - Various systems and methods for tracking industry spend are provided herein in various embodiments. A method if provided comprising summing consumer spend with a first company over a time period to yield a raw consumer spend, wherein the consumer spend is derived from internal data, extrapolating an estimated consumer spend with the first company using the raw consumer spend for the first company and the internal data, and estimating, by the processor, top line revenue for the first company using the estimated consumer spend. | 12-20-2012 |
20120323632 | SYSTEMS AND METHODS FOR TRACKING INDUSTRY SPEND - Various systems and methods for tracking industry spend are provided herein in various embodiments. A method if provided comprising summing consumer spend with a first company over a time period to yield a raw consumer spend, wherein the consumer spend is derived from internal data, extrapolating an estimated consumer spend with the first company using the raw consumer spend for the first company and the internal data, and estimating, by the processor, top line revenue for the first company using the estimated consumer spend. | 12-20-2012 |
20120323633 | SUPPLY CHAIN MANAGEMENT SOLUTION - A method, system and computer program product are disclosed for providing an integrated solution to a set of supply chain optimization problems. In one embodiment, the method comprises defining a distribution network, vehicle routing, inventory positioning, and environmental sustainability for a supply chain; and combining an optimization of the distribution network, the vehicle routing, the inventory positioning, and the environmental sustainability into a single problem. In an embodiment, the optimization of the distribution network, the vehicle routing, the inventory positioning, and the environmental sustainability are combined into a single problem by using analytical engines. In one embodiment, these analytical engines include an inventory positioning engine to identify an inventory policy, a network analysis engine to identify a network structure, a vehicle routing engine to identify routes for delivering products, and a sustainability engine to quantify energy use and carbon emissions of defined actions. | 12-20-2012 |
20120323634 | APPARATUSES, METHODS AND SYSTEMS FOR A MEDIA MARKETING PLANNING AND OPTIMIZATION TOOL - This disclosure details the implementation of apparatuses, methods, and systems for a media marketing planning and optimization tool (hereinafter, “MMPO TOOL”). MMPO TOOLs implement a live application whereby users may obtain sales forecast data and media planning information by submitting client specific data, such as historic sales data, media spend data, incentive/promotion data, and/or the like, to the MMPO TOOL. | 12-20-2012 |
20120323635 | Methods of Processing Information in Solar Energy System - A sales method provides for the demonstration, performance forecasting, financing, leasing, renting, power purchase agreement, tax-advantages, and group benefits of complete renewable energy systems. Even before a sales call is attempted, a system integrator has arranged a special group of lenders and investors that will fund any project initiated, has engaged credit services to check consumer credit files, has collected operational data from a number of its own systems, has created forecast models of performance, and arranged open-membership groups to which a new user can join immediately to share in collective bargaining with utilities, spread down-time risk and expense, utilize tax incentives, etc. | 12-20-2012 |
20120330717 | RETAIL FORECASTING USING PARAMETER ESTIMATION - A system generates a parameter estimation of a plurality of variables. The system receives input data that includes user acceptance criteria and user objectives. The system encodes the input data into a matrix and transforms the input data using a dual linear program. The system then solves the dual linear program using a dual simplex method with boxed variables, and recovers parameter values for the parameter estimation. The parameter estimation may be used to provide retail forecasting. | 12-27-2012 |
20120330718 | Paying Non-Settlement Transactions - Payment of non-settlement currencies includes developing a non-settlement currency exchange separate from a financial institution unwilling to assume risks in converting non-settlement currencies. The non-settlement currency exchange includes a predictive model to provide an estimated currency exchange rate. Schemes are provided where a merchant may share currency exchange profit and/or currency exchange losses with a financial institution. The exchange rate may be persisted in subsequent related financial transactions such as a refund, a chargeback, and/or a representment. | 12-27-2012 |
20120330719 | ENHANCED SYSTEMS, PROCESSES, AND USER INTERFACES FOR SCORING ASSETS ASSOCIATED WITH A POPULATION OF DATA - Enhanced systems, processes, and user interfaces are provided for targeted marketing associated with a population of assets, such as but not limited to any of real estate or solar power markets. For example, the enhanced system and process may create an ordered list from a population of data, wherein the list may be optimized by the likelihood of a given event, such as but not limited to any of the selling of a home by owner, the transition of a property from non-distressed to distressed, or the purchase of solar equipment. In some embodiments, enhanced valuation models and price indices are provided for one or more assets that are associated with a population of data. As well, enhanced scoring systems and processes are provided for one or more assets that are associated with a population of data. | 12-27-2012 |
20120330720 | SYSTEMS AND METHODS FOR ESTIMATING DEMAND FOR ATTRACTIONS - Certain embodiments disclosed herein provide devices, systems, and methods of using location-based virtual audience feedback to estimate interest in an attraction at one or more venues. Certain embodiments provide devices, systems, and methods of using location-based virtual audience feedback and/or other audience data to estimate interest in a plurality of attractions or other items of interest at a particular venue. | 12-27-2012 |
20130006710 | TARGETED CAMPAIGN MANAGEMENT SYSTEM AND METHOD - A system, method, and computer-readable medium, is described that provides a probability of deletion (or renewal rate) prediction for a domain name based on a historical model of expired and renewed domain names. Domain name attribute sets are defined using domain attribute/value combinations. These sets are used to classify past expired and renewed domain names into each of the applicable sets where the domain attribute and values match the expired or renewed domain names. The percentage of renewed domain names in a set is used to predict the likelihood that a user will renew a domain name set to expire in a defined window and that matches the attribute/value combinations that make up the domain attribute set. This predicted percentage is used to target domains and deliver marketing offers to the domain contacts. | 01-03-2013 |
20130013373 | PRESENTING ITEMS BASED ON ACTIVITY RATES - Apparatus, systems, and methods may operate to monitor an activity level with respect to queries submitted to an online marketplace over a certain time period to calculate an activity rate, to determine that a predicted change in the activity rate has crossed a specified threshold rate, and to display a landing page identifying at least one of items or item groups associated with the queries on a display based on the determining. | 01-10-2013 |
20130018700 | OPTIMIZING PRODUCT PORTFOLIOS UNDER CUSTOMER CHOICEAANM Ervolina; Thomas R.AACI PoughquagAAST NYAACO USAAGP Ervolina; Thomas R. Poughquag NY USAANM Ettl; Markus R.AACI OssiningAAST NYAACO USAAGP Ettl; Markus R. Ossining NY USAANM Ghosh; SoumyadipAACI PeekSkillAAST NYAACO USAAGP Ghosh; Soumyadip PeekSkill NY USAANM Gresh; Donna LeighAACI Cortlandt ManorAAST NYAACO USAAGP Gresh; Donna Leigh Cortlandt Manor NY USAANM Oh; SechanAACI StanfordAAST CTAACO USAAGP Oh; Sechan Stanford CT US - A method and system are disclosed for managing configurable products via solving an optimization problem. In one embodiment, the method comprises collecting data from a software application and a user; formulating a set of constraints based on the collected data; defining the optimization problem by the set of constraints and an optimization objective; solving the optimization problem using the collected data, the set of constraints, the optimization objective and the objective function via mixed integer programming; and outputting a solution of the optimization problem. | 01-17-2013 |
20130030866 | MARKET SEGMENTATION AND SALES POTENTIAL MODEL FOR ANIMAL RELATED PRODUCTS - A method, system, and apparatus for estimating potential sales of animal products based on estimated animal population determined from a transaction history of sentinel products associated with particular animals. A set of sentinel products is determined that is associated with a specific type of animal. A number of the type of animal in a geographic region is estimated based on a transaction history associated with the set of sentinel products. A potential sales estimate for the geographic region is determined based on the estimated number of the particular type of animal in the geographic region. | 01-31-2013 |
20130035985 | E-Commerce Consumer-Based Behavioral Target Marketing Reports - A system and methods which enable modeling of end consumer interests based on online activity and producing e-commerce reports is described. The method includes scoring and classifying interests and preferences of consumers in relation to various items being offered as function of time and utilizing such scores to predict purchasing activity and revenue yield for n-dimensional combinations of interest for generation of consumer lists for target marketing and merchandising. The method also includes converse modeling of the performance and behavioral profile of items offered as a function of consumer activity. This Abstract is provided for the sole purpose of complying with the rules that allow a reader to quickly ascertain the subject matter of the disclosure contained herein. This Abstract is submitted with the explicit understanding that it will not be used to interpret or to limit the scope or the meaning of the claims. | 02-07-2013 |
20130035986 | DETERMINING PRODUCT CONFIGURATION AND ALLOCATIONS BASED ON SOCIAL MEDIA POSTINGS - A system may determine configurations and/or allocations of products. The system may include a computer data processing system that may be configured to: query a computer system for social media postings made in a social media network system that are about one or more of the products; determine which of the products are likely to be most in demand based on the results of the query; and store information indicative of the determination. | 02-07-2013 |
20130041718 | METHOD AND SYSTEM FOR SELECTING A SYNCHRONOUS OR ASYNCHRONOUS PROCESS TO DETERMINE A FORECAST - In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations. | 02-14-2013 |
20130041719 | METHODS AND APPARATUS TO GENERATE SMART TEXT - Methods and apparatus to generate a performance metric are disclosed. An example method includes identifying a baseline volume and an incremental volume for a first time-frame and a second time-frame, calculating whether a market volume change direction is identical between the baseline volume and the incremental volume during the first time-frame and the second time-frame, and assigning a market change descriptor to the performance metric based on the calculated change direction. | 02-14-2013 |
20130046578 | Trading system on user commitments to participate in questionnaires and other interactions - A questionnaire network makes it possible to create, disseminate, conduct questionnaires or surveys on mobile handsets and to collect results for processing and storage. The questionnaire network is powered by a questionnaire creation tool and a questionnaire trading system. A questionnaire trading system for QTime makes it possible for producers of QTime, such as carriers, and consumers of QTime, such as product manufacturers and advertising companies, to buy or sell QTime in bulk and to trade in QTime as a commodity. In one embodiment, supplementary information and preambles that are part of a questionnaire are captured in audio form using the questionnaire creation tool and are stored selectively along with the questionnaire in a carrier's questionnaire repository or separately at a hosted repository. | 02-21-2013 |
20130046579 | SYSTEM AND METHOD OF ADAPTIVE LOGISTICS PLANNING - A system and method of logistics planning. The method includes storing configuration parameters related to time period planning and reorder point planning in a supply chain. The method further includes receiving demand data corresponding to a demand measurement for an item in the supply chain. The method further includes comparing the demand data and the configuration parameters. The method further includes selecting one of time period planning and reorder point planning for the item as a result of the comparison. In this manner, reordering for items may be adaptively selected between time period planning and reorder point planning in accordance with the actual (measured) demand for the items. | 02-21-2013 |
20130046580 | COMPUTERIZED, PULL BASED, EVENT SCHEDULING APPARATUS AND METHOD - A computerized apparatus and method may “pull” an event to a city rather than it being “pushed” by promoters. The system manages athletic matches, concerts, and other entertainment events requiring performers (the talent or act), a venue at a city, and ticket sales to attendees who pay the box office or “gate,” processing suggestions, voting, weighting of votes based on previous histories of customers purchasing and preference information. Later purchases substitute for votes in engaging customers to attend proposed events, which may still be cancelled if projected threshold sales are not met. If insufficient attendance is determined by the computer at a pre-determined deadline, the system cancels the event and issues refunds in cash, kind, discounts, or the like. | 02-21-2013 |
20130054306 | CHURN ANALYSIS SYSTEM - A churn analysis system helps a business analyze, predict, and reduce customer churn. The system analyzes customer experiences by using an insightful block level approach to correlate customer experience with customer churn. Through the block level approach, the system is able to more accurately predict and effectively reduce future customer churn. As a result, businesses are able to reduce customer acquisition costs and improve customer retention rates. | 02-28-2013 |
20130054307 | Labor and Materials Purchasing System for the Construction Industry - A system for managing labor and materials on a construction site includes a database stored on a computer-readable storage medium, a field-application module in communication with the database, and a vendor module in communication with the database. The field-application module receives information related to materials, labor, and/or services from a data-entry device and stores the information in the database. The vendor module receives vendor information and stores the information in the database. When the field-application module receives a bid request from the data-entry device, the vendor module transmits the bid request to a plurality of vendors. Next, when the vendor module receives bids from one or more vendors, the field-application module transmits one or more of the bids to the data-entry device. Finally, when the field-application module receives a purchase order from the data-entry device, the vendor module transmits the purchase order to the relevant vendor. | 02-28-2013 |
20130066678 | METHOD AND SYSTEM FOR DEMAND MODELING AND DEMAND FORECASTING PROMOTIONAL TACTICS - According to some embodiments, a system and method includes receiving historical data of promotional offers associated with a product or service, the promotional offers including at least one tactic effect; receiving a request to forecast a demand for the product or service, the request including an indication of a promotional offer tactic effect; generating a demand forecast including a tactic lift for the requested promotional offer tactic effect, the demand forecast based on the at least one tactic effect contributing to the demand for the product or service; and providing an output of the generated demand forecast | 03-14-2013 |
20130066679 | USING EVENTS DATA - A computer device receives a list of events, and generates possible outcomes of the events. Each one of the possible outcomes indicates which ones of the events occur and which ones of the events do not occur. The computer device receives a request for forecast information for an item associated with two or more of the events. The computer device further retrieves data, from the possible outcomes, for the item. The computer device generates the forecast, for the item, based on the data. The computer device also uses the forecast to generate a plan to provide or to provide the item or a product associated with the item. | 03-14-2013 |
20130066680 | METHOD AND SYSTEM FOR SELECTING A SYNCHRONOUS OR ASYNCHRONOUS PROCESS TO DETERMINE A FORECAST - In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations. | 03-14-2013 |
20130073337 | System and method for merchandise selection based on Location and produce trials - A merchandise selection system comprises a merchandise trial selection module, a sales volume prediction module, and a targeted selling module. The trial selection module determines a set of trial parameters including city information, product information, price information, and trial period information. The sales volume prediction module determines estimated sales volume for a product during a sales period in a selected city based on trial result. The targeted selling module determines to feature the product for the sales period in the selected city if the estimated sales volume meets a threshold. The merchandise selection system provides better prediction result, facilitates precise planning, and enables better control of shelf space in each city. | 03-21-2013 |
20130090983 | SYSTEM AND METHOD FOR TIERED OFFER FORECASTING - A tiered offer forecasting process is performed on a system executing code contained on a computer-readable storage medium. The process includes receiving purchase records for a product, each of the purchase records including a basket count identifying a quantity of the product purchased and a unit price identifying a purchase cost for the product. Pricing for a tiered offer is received. The pricing includes a first offer price for the product at a first tier, a second offer price for the product at a second tier, and a tier breakpoint differentiating the first tier from the second tier. Consumer acceptance of each of the first and second offer prices is ascertained. The consumer acceptance is utilized to forecast quantities of sales of the product at each of the first and second offer prices. This forecast of sales is provided to a user for implementation in the tiered offer. | 04-11-2013 |
20130090984 | CROWD-SOURCES SYSTEM FOR AUTOMATIC MODELING OF SUPPLY-CHAIN AND OWNERSHIP INTERDEPENDENCIES THROUGH NATURAL LANGUAGE MINING OF MEDIA DATA - According to some embodiments, natural language processing may be employed on media data to discover events pertaining to—and, including changes in—ownership (including mergers and acquisitions) and supplier/client relationships between corporations (and other entities) in such a manner that the system may maintain and automatically update a computerized model of the events and the attendant relationship between the entities, including but not limited to monitoring risk to corporate reputation across the supply chain. | 04-11-2013 |
20130096983 | SYSTEMS AND METHODS FOR IMPROVING THE ACCURACY OF DAY-AHEAD LOAD FORECASTS ON AN ELECTRIC UTILITY GRID - Systems and methods improve the forecast of electricity consumption, and/or refining such predictions. Predictions may be refined by accounting for factors such as preliminary predictions, pricing and cost information associated with future supply of energy, the extent of anticipated changes in the predictions, the time of day and/or anticipated daylight for the period of time. Coefficient values are calculated for a forecast error model that takes into account factors related to electricity consumption using existing historical electrical grid data. Using the calculated values, the forecast error model may be applied to current electricity demand forecasts. | 04-18-2013 |
20130096984 | SYSTEM AND METHOD FOR ESTIMATING RESIDUAL LIFETIME VALUE OF A CUSTOMER BASE UTILIZING SURVIVAL ANALYSIS - The present disclosure describes novel systems and methods that can be utilized to evaluate and/or direct an interaction with a consumer database and/or evaluate a consumer database, where the consumer database contains information about consumers and particular products and/or services held or used by the consumers. The interactions may be, for example, determining a strategy for sales, marketing, cross-selling, and/or retaining one or more of the consumers. The evaluations may include, for example, hierarchically ranking the consumers and/or determining a clustering of the consumers. | 04-18-2013 |
20130103456 | METHOD, SYSTEM AND PROGRAM STORAGE DEVICE FOR PRODUCTION PLANNING - Disclosed are embodiments of a production planning method, system and program storage device. The embodiments calculate and compare, in sequence, a first running cumulative sum of the average item quantity per a regular time interval for all demands within a specified time period and a second running cumulative sum of specific item quantities per the same regular interval for only high priority demands within the same time period. When a given entry in the first running cumulative sum is less than a corresponding entry in the second running cumulative sum, demand leveling is performed. Comparing and demand leveling are iteratively repeated until no entries in the first running cumulative sum, as updated, are less than corresponding entries in the second running cumulative sum. The results can then be used for production planning in order to achieve near-capacity manufacturing and meet at least the high priority customer demands. | 04-25-2013 |
20130117069 | SYSTEM TO POPULATE SALES PLAN - A system may include determination, for each of a first plurality of time periods, of a first plurality of values of a first sales metric, where each of the first plurality of values is associated with a respective one of a plurality of sales categories, determination, for each of a second plurality of time periods, of a second plurality of values of a second sales metric, where each of the second plurality of values is associated with a respective one of the plurality of sales categories, determination, for each of a third plurality of time periods, of an expected sales value for each of the plurality of sales categories, determination, for each one of the third plurality of time periods, of a total expected sales value based on the expected sales values, and display of a visualization of the expected sales values. | 05-09-2013 |
20130117070 | METHOD AND APPARATUS FOR PROVIDING MARKET SIMULATION SERVICE - A method of providing a market simulation service includes: a) receiving a request for predictive information regarding a subsequent competitive bidding process in an existing marketplace, the existing marketplace having been previously used for like competitive bidding processes, the request being received from a user device associated with a prospective participant in the subsequent competitive bidding process, the request including auction parameters and simulation parameters; b) obtaining historical marketplace data from a data storage device, the historical marketplace data associated with the existing marketplace and the plurality of like competitive bidding processes; c) processing the historical marketplace data using a statistical sampling algorithm and a resampling technique based on the auction parameters to determine a distribution function for the like competitive bidding processes; and d) simulating the subsequent competitive bidding process using an evolutionary algorithm based on the simulation parameters and the distribution function to derive the predictive information. | 05-09-2013 |
20130124260 | Process and System for Integrating Information from Disparate Databases for Purposes of Predicting Consumer Behavior - A process and system for integrating information stored in at least two disparate databases. The stored information includes consumer transactional information. According to the process and system, at least one qualitative variable which is common to each database is identified, and then transformed into one or more quantitative variables. The consumer transactional information in each database is then converted into converted information in terms of the quantitative variables. Thereafter, an integrated database is formed for predicting consumer behavior by combining the converted information from the disparate databases. | 05-16-2013 |
20130124261 | Web Influenced In-Store Transactions - In selected embodiments a repository system correlates user browsing behavior with in-store transactions involving a number of products or product categories. For example, an online portal may receive online transactional data and in-store transactional data and associate particular user identities with such data. The user identities may be correlated by matching online transactional data with in-store transactional data. This correlation identifies a user known to frequent both online and in-store venues of the same retailer. The online portal may maintain browser repository records based on an association of online and in-store identities. In some implementations, the portal measures in-store transactions of a user known to frequent both online and in-store venues. The measurements may be performed for a predetermined time period. Such measurements may be used to extrapolate web influenced in-store transactional data from at least one browser repository record to estimate a transaction for an unknown user. | 05-16-2013 |
20130132153 | PRODUCT PRICING OPTIMIZER - A system for determining product pricing for a product category receives a non-linear problem for the product category, in which the non-linear problem includes a demand model. For a plurality of pair of products in the product category, the system determines coefficients for a change in demand of a first product when a price of a second product is changed. The system then generates an approximate Mixed Integer Linear Programming (“MILP”) problem that includes a change of demand based on a sum of the determined coefficients. The system then solves the MILP problem to obtain a MILP solution, which provides the product pricing. | 05-23-2013 |
20130132154 | METHOD AND SYSTEM FOR PERFORMING ANALYSIS ON DOCUMENTS RELATED TO VARIOUS TECHNOLOGY FIELDS - A method and system for performing an analysis on documents related to one or more aspects of a technology field is provided. The method includes computing a plurality of coefficients from a patent landscape created based on the documents and the one or more aspects of the technology field. The method further includes computing weights for each of the plurality of coefficients using a predefined method. The method further includes calculating a probability score for the one or more aspects using the plurality of coefficients and the weights assigned to each of the plurality of coefficients. | 05-23-2013 |
20130132155 | METHOD AND SYSTEM FOR IDENTIFYING INSTALLATION SITES OF ALTERNATIVE FUEL STATIONS - A method and system to identify suitable installation sites for alternative fuel stations. The system uses geocoded data sets and other data pertaining to a particular geographic market to generate three models: (1) the system generates a market capacity model that indicates the total number of stations that could be sustained by the present and/or projected consumer demand for alternative fuel within the market; (2) the system generates a hotspot model that indicates the geographic variation of estimated demand for alternative fuel within the market; and (3) the system generates a trade area model that indicates which locations within the market are quickly accessible by a sufficiently high number of alternative fuel consumers. When combined, these three models permit a user of the system to identify and analyze those locations within the market that are most suitable as alternative fuel station sites. | 05-23-2013 |
20130138477 | Systems and Methods for Improved Server-Implemented Price Comparisons, Price Alerts and Discounts - The present invention relates to systems and methods for providing improved server-implemented product price purchasing options based on unique product identifiers, display charts comparing average vendor prices, forecasts of best purchasing times, automated price updates, target price notifications, easy to use checkout methods for multiple retail sites and local vendor product displays. | 05-30-2013 |
20130151310 | CATTLE MANAGEMENT METHOD AND SYSTEM - An automated method and system for individual animal electronic identification, measurement, and management of cattle in a feedlot. Through the use of a computer system integrated with individual animal identification, multiple measurement and remeasurement systems, and a handling and sorting system, animals are individually identified and measured. The computer system calculates optimum slaughter weight, economic end point and marketing date for shipment to a packing plant. Individual animals are sorted by the computer in response to calculations from the measurements. The computer system stores individual animal measurement, performance and location data, which is used to select animals for shipment to slaughter at the optimum time. At the slaughter facility, the animal's identification is used to correlate the live animal physical characteristics and performance data to the carcass characteristics data and build a-database to more accurately identify and measure value-based characteristics in subsequent animals for more effective selection and management. | 06-13-2013 |
20130151311 | PREDICTION OF CONSUMER BEHAVIOR DATA SETS USING PANEL DATA - Embodiments of the invention combine information from different data sets, such as social networks, vendor systems, and/or panels, each data set comprising statistics about past consumer behavior (e.g., product purchases). The result of the combination is a model that, when applied to statistics about purchases of a particular product, produces predicted consumer behavior statistics about the particular product that are more accurate than the data of any given one of the different data sets when taken in isolation. | 06-13-2013 |
20130151312 | APPARATUS, METHOD, AND COMPUTER PROGRAM PRODUCT FOR COLLABORATIVE SALES CAMPAIGN - An apparatus, method, and computer program product are disclosed for a collaborative sales campaign system. An organization contact module is configured to register an organization contact on a website. The organization contact represents the organization. A supporter module is configured to register supporters at the website for a product sales campaign associated with an organization such that the total number of the supporters meets a predetermined threshold. Further, a sales module is configured to initiate the product sales campaign in response to registering the organization contact and in response to registering the supporters. Finally, a product module is configured to signal a manufacturer of the product to produce the product when the number of committed purchases by supporters exceeds the predetermined threshold. | 06-13-2013 |
20130151313 | SALES AND OPERATIONS PLANNING INTERFACE TOOL - A method, in one embodiment, can include establishing a demand hierarchy associated with sales and operations planning data of an organization. Note that any item of the demand hierarchy is not assigned to another hierarchy group. Additionally, the method can include establishing a supply hierarchy associated with the sales and operations planning data of the organization. It is noted that any item of the supply hierarchy is not assigned to another hierarchy group. Furthermore, the method can include utilizing one of the demand hierarchy and the supply hierarchy to generate a metric based at an item level. The metric can be output as part of a graphical user interface. | 06-13-2013 |
20130159052 | DEMAND RESPONSE SYSTEM AND METHOD - A demand response system and method. The demand response system includes a power rate reception unit for receiving information about charge rates for a unit of power from an external power trading server. An amount-of-power used reception unit receives information about amounts of power used by a customer from a gateway, a first data generation unit which generates first data including information about charge rates for a unit of power for respective time spans, a second data generation unit which generates second data including information about amounts of power used by the customer for the respective time spans, and a third data generation unit which generates third data including information about index power charges for the customer for the respective time spans. | 06-20-2013 |
20130159053 | Capacity Management Index System and Method - A system and method is provided that generates an index, providing predictive and actionable intelligence to ensure that a Technology Infrastructure Group (TIG) makes tactical and strategic decisions in support of needs of customers. The invention measures overall health of an infrastructure, specifically with respect to how efficiently various services meet demand placed upon capacity by various Lines of Business. The invention provides an overall assessment of infrastructure capacity management and drills down to various services, components, subcomponents, etc. The invention provides a forecasting tool in which estimates made are not based only upon business forecasts provided by each Line of Business, but also upon forecasts developed by correlating external indicators with historical business volumes. Historical forecasts are compared to actual values to derive a confidence factor used for weighting future Line of Business forecasts. The combined, weighted forecasts obtained are more robust than any individual forecasts on their own. | 06-20-2013 |
20130159054 | GENERATING AND DISPLAYING CUSTOMER COMMITMENT FRAMEWORK DATA - Systems and methods for generating and displaying customer commitment framework data. Exemplary methods for determining the shareability of online content may include obtaining, via a digital intelligence system, customer experience data regarding any of a product, a brand, and customer responses for a first entity, as well as periodically calculating, via the digital intelligence system, customer commitment framework data from the customer experience data, and generating a customer commitment dashboard that comprises a graphical representation of the customer commitment framework data. | 06-20-2013 |
20130166350 | CLUSTER BASED PROCESSING FOR FORECASTING INTERMITTENT DEMAND - A system, method and program product for cluster-based forecasting of intermittent demand. A computer system is disclosed for forecasting intermittent demand, having a data management system that provides access to historical demand data for a plurality of items; and a forecast system that generates a distribution of lead time demand predictions for a selected item having intermittent demand, and wherein the forecast system includes program code for performing the steps of: identifying a cluster from historical demand data, wherein the cluster includes items having an aggregated demand that defines a cluster driver; detecting if an association exists between historical demand data of a selected item and the cluster driver; and if the association is detected, utilizing the historical demand data of the selected item and the historical demand data to generate a distribution of lead time demand predictions. | 06-27-2013 |
20130166351 | System and Method for Generating a Marketing-Mix Solution - A method for generating a marketing-mix solution is provided. The method includes pre-modeling marketing data having a plurality of marketing-mix variables. Each of the plurality of marketing-mix variables is associated with marketing strategies for one or more products. The method also includes generating a sales and/or revenue based response model to identify contributory marketing-mix variables that affect the sales and/or revenue of the one or more products and analyzing the response model to determine individual contribution of each of the contributory marketing-mix variables towards the sales an/or revenue of the one or more products. | 06-27-2013 |
20130173340 | Product Offering Analytics - Embodiments of the invention relate to supply chain recommendations in real-time. A filter model and a compliance model are provided to relate product proposal data with product order data, and to apply a measurement to the relationship in real-time. This applied measurement is a factor that is employed with respect to supply chain changes. Specifically, the measurement provides a measured correlation that is determinative of recommendations for changes to an associated supply chain. | 07-04-2013 |
20130173341 | Product Offering Analytics - Embodiments of the invention relate to supply chain recommendations in real-time. A filter model and a compliance model are provided to relate product proposal data with product order data, and to apply a measurement to the relationship in real-time. This applied measurement is a factor that is employed with respect to supply chain changes. Specifically, the measurement provides a measured correlation that is determinative of recommendations for changes to an associated supply chain. | 07-04-2013 |
20130173342 | SYSTEM AND METHOD FOR VALUATION OF A TECHNOLOGY - A system and method for computing the value of an emerging technology is provided. The method may provide an automated process to provide objective data for valuation of a given technology. The method may use a multi-variant algorithm that has weighted measures, such as multiple parameters having one or more subsegments. Each parameter may be assigned a variable relative to its importance to the success of the ultimate success of the technology and each subsegment within a parameter may be given a different value. Information regarding a particular technology may be entered and an overall value of a technology determined. | 07-04-2013 |
20130179219 | COLLECTION AND MANAGEMENT OF FEEDS FOR PREDICTIVE ANALYTICS PLATFORM - Embodiments of the invention are directed to a system, method, or computer program product for a predictive analytics platform. First, the platform may be populated by individuals or entities with data. The data may then be categorized into a searchable format. The data may be analyzed to create feed category data and patterns that may provide indications of future trends. The future trends may be in the financial, risk, or product development fields. In this way, the invention may combine data from multiple sources into a single platform for predictive analytics, thus using current data to attempt to predict future trends. Individuals and entities may have access to the platform to analyze the data on the platform or receive patterns previously provided by the system, in order to further predict future trends. | 07-11-2013 |
20130179220 | COMPUTER PROGRAM PRODUCT AND METHOD FOR SALES FORECASTING AND ADJUSTING A SALES FORECAST - A computer program product and method for sales forecasting and adjusting a sales forecast for an enterprise in a configurable region having one or more clusters of stores. The method includes periodically receiving a sales forecast for an enterprise over a configurable period of time, periodically receiving actual sales information, sales anomalies and anticipated events within the at least one of the clusters of stores over a computer network, determining positive and negative deviations from the anticipated sales of the sales forecast based on the sales information, determining whether one or more trends are occurring or have occurred using a pre-defined mathematical expression based on the sales information, the positive and negative deviations, and the sales anomalies, adjusting the anticipated sales of the sales forecast based on the sales anomalies, the trends and the anticipated events, and outputting the adjusted sales forecast to a user. The sales forecast includes anticipated sales for a plurality of items within at least one of the clusters of stores. | 07-11-2013 |
20130185116 | AUTOMATIC DEMAND PARAMETER ESCALATION - A system provides automatic escalation of demand parameters to determine a reliable demand parameter for a level within a sales hierarchy. The system measures difference in demand parameters between a level of interest within the sales hierarchy and a plurality of other levels within the sales hierarchy. The system also compares the differences in demand parameters of the other levels. The system further determines an escalation path for a demand parameter based on the comparison. | 07-18-2013 |
20130185117 | AUTOMATIC DEMAND PARAMETER ESTIMATION - One embodiment is directed generally to a computer system, and in particular to a system for providing automatic estimating of demand parameters. According to certain embodiments, a computer readable medium has instructions stored thereon that, when executed by a processor, cause the processor to determine a reliable demand parameter for a level within a sales hierarchy. The instructions include estimating a demand parameter for a first pool. The estimating is based on blending and comparing with respect to an enlarged pool comprising the first pool as a subset of the enlarged pool to obtain an estimated demand parameter. | 07-18-2013 |
20130191179 | INFORMATION PROCESSING METHOD AND SYSTEM FOR NETWORK TRANSACTION PLATFORM - The present invention provides an information processing method for a network transaction platform that is provided with personal consumption space of a user and that has a product information database, the method comprising: an information publishing step of publishing and residing in personal consumption space subscription information that is published by a user; an extracting step of extracting the subscription information from the personal consumption space; a matching step of matching the subscription information to product information in the product information database; and a feedback step of feeding back to the personal consumption space product information in the product information database whose matching degree to the subscription information reaches a certain predefined threshold. The present invention further discloses an information processing system for a network transaction platform. The information processing system and method for a network transaction platform as disclosed in the present invention has such advantages that users operate conveniently and rapidly and that service providers provide feedback in time and accurately. | 07-25-2013 |
20130197970 | SOCIAL NETWORK ANALYSIS FOR USE IN A BUSINESS - A historical analysis is performed within peer groups within a population such as associates of business or organization in regard to a plurality of factors having a possible bearing on satisfaction of individual members of the population in regard to the environment of the population to determine members of the population that may be likely candidates to be responsive to encouragement and/or incentives toward improved performance. The historical analysis is preferably supplemented by repeating of the scoring aspect of the historical analysis and comparison of current scores with previous scores to provide substantially real-time information and to allow detection of trends. The results of the historical analysis and/or the prospective analysis are overlaid with results of social network analysis within the population to project a spread of influences within the population. | 08-01-2013 |
20130197971 | MOTOR VEHICLE DEALER ANALYSIS MARKETING SYSTEM AND METHOD WITH AFTERMARKET ACCESSORIES - The method and system are used for marketing new and used motor vehicles for sale or lease. Initially a target area proximate to the dealer site is identified by reviewing the dealer's existing customer base to see the distance that the customers are from the dealer site. Then, demographic data is used to determine the ranges of household incomes for the overall population in the target area. Next, it is determined the amount that these households allocate for motor vehicles. Then, the makes and models of motor vehicles that are available to the dealer in these price ranges are identified. Once the size of the dealer's showroom and lot are evaluated, a recommendation is made to the dealer of the appropriate blend and price ranges of new and used motor vehicles to market. Aftermarket accessories for any particular vehicle can also be predicted with some degree of certainty. | 08-01-2013 |
20130197972 | SYSTEM, METHOD AND PROGRAM RECORDING MEDIUM FOR SUPPLY CAPACITY ESTIMATION - Technology for realizing reductions in time required for production plan by estimating supply capacities of suppliers is provided. A system has a function of registering and displaying transaction information including delivery requests from a buyer including number of required parts and delivery responses from a supplier including number of suppliable parts, a function of managing the series of transaction information as transaction history information on a DB, and an estimating function of estimating supply capacities of parts of the supplier with respect to the delivery responses in reply to delivery requests. The estimating function performs processes of estimating supply capacities by determining numbers of suppliable parts of past delivery responses with respect to numbers of required parts of past delivery requests by using the delivery request history information, the delivery response history information and the process LT information, and outputting a screen including the estimated result information to users. | 08-01-2013 |
20130204659 | Systems and Methods for Forecasting Using Business Goals - A characteristic forecasting system is disclosed. The characteristic forecasting system may have a memory module and a processor. The memory module may store instructions, that, when executed, enable the processor to determine a forecast function that includes one or more variables and represents forecasted characteristics of the target item. The processor may also be enabled to implement a genetic algorithm to generate one or more chromosomes having a data value for each of the variables of the forecast function, determine a chromosome value for at least one of the chromosomes that is based on a goal function including one or more measurable business goals. Moreover, the processor may be further enabled to select a chromosome from among the one or more chromosomes based on the chromosome value, and forecast the characteristics of the target item using the selected chromosome. | 08-08-2013 |
20130204660 | Systems and Methods for Forecasting Using an Attenuated Forecast Function - A characteristic forecasting system is disclosed. The characteristic forecasting system may have a memory module and a processor. The memory module may store instructions, that, when executed, enable the processor to generate a forecast function that represents forecasted characteristics of a target item and includes one or more continuous functions and one or more attenuating functions. Each of the attenuating functions may attenuate forecast values generated by the continuous functions at periodic time intervals. The processor may also be enabled to forecast the characteristics of the target item using the forecast function. | 08-08-2013 |
20130204661 | Systems and Methods For Selectively Updating Forecast Data - A characteristic forecasting system is disclosed. The characteristic forecasting system may have a memory module and a processor. The memory module may store instructions, that, when executed, enable the processor to generate forecast data for a target item based on historical data related to the target item, the forecast data representing a forecast for characteristics of the target item. The processor may also be enabled to analyze a subset of the historical data within an observation window to determine whether the forecast data should be updated with new forecast data and generate the new forecast data for the target item responsive to a determination that the forecast data should be updated with the new forecast data. | 08-08-2013 |
20130204662 | Systems and Methods For Forecasting Using Modulated Data - A characteristic forecasting system is disclosed. The characteristic forecasting system may have a memory module and a processor. The memory module may store instructions, that, when executed, enable the processor to collect historical data associated with characteristics of a target item, and modulate the historical data with a modulator signal. The processor may also be enabled to determine an intermediary function that includes one or more variables, and implement a genetic algorithm to determine a data value for each of the variables of the intermediary function. Moreover, the processor may be enabled to solve the intermediary function using the data values determined by the genetic algorithm, and generate a forecast function representing forecasted characteristics of the target item by subtracting the modulator signal from the intermediary function. | 08-08-2013 |
20130204663 | SALES PREDICTION SYSTEMS AND METHODS - A computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates the collected event counts in each event type between non-recent events and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent events and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on the accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company. | 08-08-2013 |
20130211877 | RETAIL PRODUCT PRICING MARKDOWN SYSTEM - A system that determines a pricing markdown schedule for a retail item at a store receives demand parameters of the retail item at the store and one or more constraints, and expresses a price curve and inventory curve as linear combinations of price and inventory coefficients for orthogonal polynomials. The system determines revenue in terms of values of the price and inventory coefficients, determines an initial guess of the price and inventory coefficients, and determines a gradient of the revenue. The system then maximizes the revenue based on the revenue, the initial guesses, the gradient, and the constraints, where the constraints are in terms of the price and inventory coefficients. Based on the maximized revenue, the system then generates the price markdown schedule. | 08-15-2013 |
20130211878 | ESTIMATING ELASTICITY AND INVENTORY EFFECT FOR RETAIL PRICING AND FORECASTING - A system that estimates elasticity and inventory effect for a product pricing or forecasting system receives a sales condition relationship for an item at a store, the relationship comprising an elasticity parameter, an inventory effect parameter and a sales constant. The system receives a demand model for sales of the item in terms of the elasticity parameter and the inventory effect parameter and a base demand for the item selling at the store. The system estimates the sales constant, the estimating comprising generating a theta parameter by taking logarithms of the sales condition relationship. The system uses linear regression to estimate a logarithm of the sales constant and a value of the theta parameter. The system determines a relationship between the elasticity parameter and the inventory effect parameter based on the value of the theta parameter. | 08-15-2013 |
20130218635 | RETAIL PLANNING APPLICATION AND METHOD FOR CONSUMER PRODUCTS - An improved forecasting and modeling tool for planning and estimating sales of consumer products, including social expression products in a retail operation. The tool enables retailers to create a plan based on information shared between the retailer and vendor of social expression products. The methodology employed begins with actual sales totals for the prior term and the plan goal for the current term and provides financial calculations based on a variety of factors to determine the sales bridge needed to meet the current term goal. Information relating to actual sales, significant events, door activity, current forecast, trending data, and vendor initiatives are input into the application and are used in financial calculations to determine a current term sales plan. | 08-22-2013 |
20130218636 | SYSTEM FOR DETERMINING A TRADE-IN VALUE OF AN ITEM BASED ON A MATCH TO A DATABASE OF CUSTOMERS - Methods, systems and computer program products for verifying a trade-in amount that a user can offer a customer for an item desired to be traded-in. A quantity of potential buyers is determined for the trade-in item by accessing a customer database to identify customers currently possessing similar items to the trade-in item. The quantity of potential customers is used to determine whether a trade-in amount for the trade-in item may be offered to the customer as part of a deal associated with the trade-in item. | 08-22-2013 |
20130226659 | Systems, Methods, and Apparatus for Fashion and Apparel Color Forecasting - This disclosure describes systems, methods, and apparatus for forecasting color preferences in clothing via electronic surveys transmitted to survey participants over the Internet. The electronic surveys present survey participants with families of colors and ask the survey participants whether they would wear clothing in any of the colors of a given family of colors. The surveys also ask which colors from each family survey participants would wear. The surveys also present survey participants with color choices in the context of specific types of clothing and seasons. The electronic surveys can also be used to predict preferred colors for use on products and services. | 08-29-2013 |
20130226660 | Cyclicality-Based Rules for Data Anomaly Detection - In one example, we describe a method that generates cyclicality rules for anomaly detection for a hierarchical/tree based data structure. A new algorithm for processing nodes in hierarchy, as well as business rules for nodes, is described. Variations and examples are given to describe different scopes and embodiments of the invention. Exclusion criteria and children nodes are used as some examples for the implementations, with flow charts to describe the methods of application, as examples. | 08-29-2013 |
20130226661 | Methods and Electronic Commerce Systems for Updating and Displaying the Price of Goods - Methods and electronic commerce systems for updating and displaying the price of goods are disclosed. A method for displaying an updated price of a good includes determining, automatically by a computing device, a current sales velocity. The current sales velocity is a sold quantity of the good during a current period. The current period spans a previous time and a current time. The method further includes determining a previous sales velocity. The previous sales velocity is a sold quantity of the good during a previous period. The previous period spans a preceding previous time and the previous time. The method further includes updating the price of the good based on the current sales velocity and the previous sales velocity, and providing for display the updated price of the good on a display device. | 08-29-2013 |
20130238394 | SALES PROJECTIONS BASED ON MENTAL STATES - Analysis of mental states is performed in order to project sales. Projections may be based on effectiveness of an advertisement, a product, or a service. Effectiveness may be based on various objectives including entertainment, education, awareness, persuasion, startling, and drive to action. Data, including facial information and physiological information, is captured for an individual viewer or group of viewers. In some embodiments, demographics information is also collected and used as a criterion for rendering the mental states of the viewers in a graphical format. In some embodiments, data captured from an individual viewer or group of viewers is used to optimize sales projections. | 09-12-2013 |
20130238395 | Composite Driver Derivation - A crossover point between a first driver and a second driver over a series of time points is identified. Each of the first driver and the second driver is a variable, and affects or relates to revenue to be forecast. A composite driver from the first driver and the second driver is derived based on the revenue, using a model having one or more first weighting parameters for the time points before the crossover point and one or more second weighting parameters for the time points after the crossover point. The crossover point is a time point within the series of time points at which the revenue transitions from being more affected by the first driver than by the second driver to being more affected by the second driver than by the first driver. | 09-12-2013 |
20130246121 | Method And System For Determining Buffer Inventory Size - A method for determining an optimum buffer inventory size by generating a time-based demand pattern that is based on processing discreet demand data through a sliding time window and summing the demand quantity in that time window, and repeating that process as the time window then moves through the time-line of discrete demand, thereby establishing a pattern of cumulative demand in windows-of-time along a time-line. The process moves along the demand time-line from one demand point to the next demand point, summing up all of the demand in a window of time that corresponds to the Time-to-Reliably Replenish (TRR). The method plots each summation of demand for its corresponding window of time (TRR) on a time-line at a point in time coinciding with the first demand data element in each summation. The resulting buffer size is based on the conversion of discrete demand data into time-based demand patterns. | 09-19-2013 |
20130246122 | PRESENTING OFFERS TO USERS OF WIRELESS DEVICES - A system and method facilitating the management of current and prospective customers and customer information is provided. The invention includes an aggregation system adapted to provide management and generation of current and prospective customers. The invention further provides management of current and prospective customer information. Additionally, the aggregation system provides for generating advertisements based at least in part upon market information. Finally, the present invention also includes a printstream aggregation method facilitating the printing of print orders. | 09-19-2013 |
20130253983 | SYSTEM AND METHOD FOR ESTIMATING RESIDUAL LIFETIME VALUE OF A CUSTOMER BASE UTILIZING SURVIVAL ANALYSIS - The present disclosure describes novel systems and methods that can be utilized to evaluate and/or direct an interaction with a consumer database and/or evaluate a consumer database, where the consumer database contains information about consumers and particular products and/or services held or used by the consumers. The interactions may be, for example, determining a strategy for sales, marketing, cross-selling, and/or retaining one or more of the consumers. The evaluations may include, for example, hierarchically ranking the consumers and/or determining a clustering of the consumers. | 09-26-2013 |
20130253984 | SYSTEM AND METHOD FOR EVALUATING BANKING CONSUMERS AS A FUNCTION OF AGGREGATED RESIDUAL LIFETIME VALUES AND POTENTIAL LIFETIME VALUES - The present disclosure describes novel systems and methods that can be utilized to evaluate and/or direct an interaction with a consumer database and/or evaluate a consumer database, where the consumer database contains information about consumers and particular products and/or services held or used by the consumers. The interactions may be, for example, determining a strategy for sales, marketing, cross-selling, and/or retaining one or more of the consumers. The evaluations may include, for example, hierarchically ranking the consumers and/or determining a clustering of the consumers. | 09-26-2013 |
20130262181 | METHODS AND APPARATUS TO PREDICT AUDIENCE COMPOSITION AND/OR SOLICIT AUDIENCE MEMBERS - Methods and apparatus to predict audience composition and solicit audience members are disclosed. A method to predict audience composition for future media involves obtaining indications of intent from first audience members to consume first media, determining a portion of the first audience members that were actually exposed to the first media, and predicting audience composition for a second media of second audience members based on the portion of the first audience members. | 10-03-2013 |
20130262182 | PREDICTING PURCHASE INTENT BASED ON AFFECT - Analysis of mental states is provided to evaluate purchase intent. Purchase intent may be determined based on viewing and sampling various products. Data is captured for viewers of a product where the data includes facial information, physiological data, and the like. Facial and physiological information may be gathered for a group of viewers. In some embodiments, demographics information is collected and used as a criterion for evaluating product or service purchase intent. In some embodiments, data captured from an individual viewer or group of viewers is used to optimize product purchase intent. | 10-03-2013 |
20130268318 | Systems and Methods for Temporal Reconciliation of Forecast Results - In accordance with the teachings described herein, systems and methods are provided for generating a forecast. A first forecast model of a first type is applied to generate first forecast results. A second forecast model of a second type is applied to generate second forecast results. The first and second forecast results are combined using an optimization model to generate combined forecast results, where the optimization model applies one or more constraints to preserve one or more attributes of the first or second forecast results in the combined forecast results. | 10-10-2013 |
20130268319 | METHOD AND APPARATUS FOR PRICE OPTIMIZATION IN AN ONLINE CONSULTATION SYSTEM - Embodiments of the present invention further provide systems and methods for optimizing prices for paid question and answers in an online consultation website, where user attributes are defined and segmented based on parameters influencing the price. At least a high price and a low price test path are created for each segment, and revenue generated for each test path is measured and the highest revenue path is selected as the optimized path and the price corresponding to highest revenue path as the optimized price for the online consultation system. | 10-10-2013 |
20130268320 | DEMAND PREDICTION SYSTEM - In order to predict demand, in a demand prediction computing unit ( | 10-10-2013 |
20130282433 | METHODS AND APPARATUS TO MANAGE MARKETING FORECASTING ACTIVITY - Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes identifying a first likelihood of missing the sales target based on a first alerting methodology, identifying a second likelihood of missing the sales target based on a second alerting methodology, issuing a first alert if at least one of the first or the second likelihoods is greater than a threshold after a first future date, and issuing a second alert if the first and the second likelihoods are greater than the threshold after a second future date. | 10-24-2013 |
20130282434 | METHODS AND APPARATUS TO MANAGE MARKETING FORECASTING ACTIVITY - Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes retrieving client driver control data and corresponding market triggers, generating a client baseline profile associated with the client based on the client driver control data and a corresponding market trigger, calculating a first probability of not taking action when action prevents a missed marketing objective, calculating a second probability of taking action when action causes superfluous spending to meet a marketing objective, and generating the alert based on a comparison between the product of the first probability and a cost of the missed marketing objective and the product of the second probability and a cost of the superfluous spending. | 10-24-2013 |
20130282435 | METHODS AND APPARATUS TO MANAGE MARKETING FORECASTING ACTIVITY - Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes eliminating a first portion of a plurality of driver forecasts that fail to meet a historical threshold, calculating a Euclidian distance value between each driver forecast in a second portion of the plurality of driver forecasts, identifying a separation zone between each adjacent driver forecast in the second portion, and selecting a representative driver forecast from each cluster created by the separation zone. | 10-24-2013 |
20130282436 | METHODS AND APPARATUS TO MANAGE MARKETING FORECASTING ACTIVITY - Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes retrieving a vetted sales forecast and a corresponding set of drivers, overlaying default confidence limits associated with the vetted sales forecast, and generating a plurality of tailored icons associated with each of the drivers, the icons tailored based on the default confidence limits. | 10-24-2013 |
20130282437 | SYSTEM AND METHOD FOR PROVIDING CONSUMER PREFERENCE AND INTENTION DATA TO MERCHANTS - Methods and apparatus for providing purchase intention and consumer preference data to merchants are described. In an embodiment, the process includes receiving, by a server computer from a device at a merchant location, consumer check-in data and then retrieving consumer preferences data and purchase history data. The method also includes retrieving merchant data indicative of items and/or services offered by the merchant, and determining purchase intention data indicative of an item or service that the consumer intends to purchase based on at least one of the consumer preferences data, the consumer purchase history data, and the merchant data. The process then includes transmitting the purchase intention data in real-time to a merchant device at the merchant location. | 10-24-2013 |
20130290069 | PRICING ENGINE REVENUE EVALUATION - A simulation framework for evaluating revenue that may use a pricing engine that runs at least one pricing algorithm with particular configurations and under particular model market conditions to provide revenue projections. | 10-31-2013 |
20130297380 | INVENTORY ADJUSTMENT BASED ON SOCIAL NETWORK DATA - Social network data may be accessed by an inventory adjustment machine, and such social network data may be accessed from one or more social network servers. The social network data may be accessed in the form of user submissions published by one or more social network services. The inventory adjustment machine may identify a topical trend from accessed user submissions. The inventory adjustment machine may determine that a product available for sale corresponds to the topical trend identified from the user submissions. After determining that the product corresponds the topical trend, the inventory adjustment machine may adjust a value that represents a quantity of the product within an inventory that includes the product. This adjustment of the value may be based on the topical trend identified from the user submissions accessed from the one or more social network servers. | 11-07-2013 |
20130297381 | METHOD AND SYSTEM FOR MANAGING A LOW-RESOURCE SUPPLY CHAIN - A method and system for managing a low-resource supply chain. The method includes receiving data over unreliable mobile networks from a retailer, identifying a pattern of goods consumption based on at least one of the data and multiple historical transactions associated with the retailer, calculating an expected demand of goods, providing personalized recommendations, to the retailer, based on the expected demand of goods, enabling the retailer to place one or more orders based on the plurality of personalized recommendations and processing the one or more orders, of the retailer, by using services provided by one or more vendors. The system includes an electronic device that enables a retailer to place one or more orders, a communication interface in electronic communication with the electronic device, a memory that stores instructions, and a processor including a transaction management module, a data management module, a personalized recommendation module and an incentive management module. | 11-07-2013 |
20130297382 | NETWORK TRANSACTION PLATFORM AND PROCESSING METHOD THEREOF - The present invention discloses a network transaction platform, comprising: a personal space for publishing and residing at least one user tag defined by a buyer user, wherein information contained in each of the user tags is for describing a consumer demand of the buyer user; a database for storing commodity information and at least one commodity tag corresponding to the commodity information, wherein information contained in the commodity tag is for describing a consumer demand to which the commodity information is directed; and a retrieval module for retrieving from the database a commodity tag matching the user tag stored in the personal space and corresponding commodity information, and pushing and residing the commodity information in the personal space. Accordingly, the present invention further discloses a processing method for a network transaction platform. By means of the present invention, it is possible to give optimal result feedback according to a vague consumer demand put forward by a buyer user and provide a more rapid and accurate match result for scattered personal searches. | 11-07-2013 |
20130304541 | CONSUMER-INITIATED DEMAND-DRIVEN INTERACTIVE MARKETPLACE - Disclosed herein are systems and methods for managing consumer demand in an online marketplace. In one aspect, a method for managing consumer initiated demand in an online marketplace comprises: receiving a first request for a product or service from a first consumer; identifying one of a plurality of categories as corresponding to the first request; assigning the first request to the identified category; receiving at least one additional request for a product or service from a second consumer and assigning the at least one additional request to the identified category; determining, using a processor, a demand for the identified category based at least on the number of requests assigned to the identified category; and selectively generating a merchant notification for at least one merchant based on the determined demand for the identified category. | 11-14-2013 |
20130311232 | Method, System and Program Product for Forecasting - A method, system and program product comprise selecting at least one item and historical demand information for the item from a storage portion. A plurality of discrete values for use with forecast models are specified. The item, historical demand information and discrete values are communicated to a forecasting unit comprising at least one test portion being configured for testing the historical demand information to determine a type for the historical demand information. A selection portion is configured for selecting at least a one of a plurality of forecast model portions and for transferring the historical demand information to the selected forecast model portion. A model selection portion is configured for selecting at least one of a plurality of forecast models from the selected forecast model portion. A forecast portion is configured to generate a forecast using at least the historical demand information and the selected forecast model. | 11-21-2013 |
20130311233 | Method for predicting revenue to be generated by a webpage comprising a list of items having common properties - The invention provides a method for estimating probabilities of a user clicking on items appearing in a results list obtained by a web search engine to predict the revenue for the results list, the web searching engine being used to search for the items on the web, the results list comprising a plurality of items. Each of the items has one or more properties, whereby at least one property may be common between the item and another item, and whereby the one or more properties each have a determined value. Historical data of users' actions comprises at least for each of the plurality of items or for a set of the plurality of items, a list of displays and clicks on selected items together with their values of properties if available, thus allowing the aggregation of statistics of displays and clicks for each value of properties. | 11-21-2013 |
20130311234 | DEMAND-BASED OFFERINGS FOR SALE - An apparatus for a demand-based offering for sale is disclosed. A method and a computer program product also perform the functions of the apparatus. The apparatus includes a vote receiving module that receives a vote over a computer network from a user. The vote is related to an item in a potential sale list. The potential sale list includes items that may be sold. The apparatus includes a vote tabulating module that gives the items in the potential sale list a ranking according to the votes received by the vote receiving module, and a display module that displays the potential sale list online. The apparatus includes a sales module that offers the item with a highest ranking for sale for a period of time. The offer for sale includes an on-line offering. | 11-21-2013 |
20130311235 | METHOD AND SYSTEM FOR ASSESSING BUSINESS-TO-BUSINESS SALES AND MARKETING PERFORMANCE DATA - A computer-implemented system for assessing performance data is configured to execute software instructions for generating graphical user interfaces that relate to measurement indicators. The measurement indicators pertain to a demand creation model comprising a marketing automation platform and a sales force automation platform. A method for assessing performance data using such a system includes the steps of defining a marketing automation platform and a sales force automation platform; qualifying a plurality of leads from the marketing automation platform; transferring the qualified leads from the marketing automation platform to the sales force automation platform; qualifying at least a portion of the qualified leads transferred from the marketing automation platform to the sales force automation platform; and calculating a rate of conversion based on the qualified leads from the marketing automation platform and the qualified leads from the sales force automation platform. | 11-21-2013 |
20130311236 | SYSTEM, METHOD AND COMPUTER PROGRAM FOR ENERGY CONSUMPTION MANAGEMENT - Energy demand in an entire community including multiple demanders is properly predicted and energy consumption thereof is properly controlled. Every day, some demanders are selected from the community and a request to adjust energy consumption for the following day is sent to the selected demanders. To decide a content of the request, energy demand for the following day is predicted. In this case, demanders which did not receive a request on past days are specified, and demand in the community for the following day is predicted based on the actual energy consumption by those demanders on the past days. | 11-21-2013 |
20130317884 | SYSTEM AND METHOD FOR ESTIMATING A DYNAMIC ORIGIN-DESTINATION MATRIX - A method and system are disclosed for dynamically estimating an origin-destination matrix. An origin-destination matrix is initialized with a set of origin stops and destination stops. Validation sequences are acquired for a set of travelers on a transportation system which include a plurality of the origin stops and respective timestamps. Corresponding destination stops may be known or inferred. For each validation sequence, a set of subsequences is generated, each including a respective one of the origin stops and the associated timestamp. Subsequences which, in combination, constitute a valid transfer trip are identified. For a combination of subsequences constituting a valid transfer trip, the method includes determining whether the valid transfer trip is a multi-goal trip for which there is least a first destination stop with an intermediate goal and a second destination stop with a final goal. The origin-destination matrix is updated, based on the determination. | 11-28-2013 |
20130317885 | METHOD OF TRACKING CONSIGNMENTS DURING THEIR PRODUCTION AND APPARATUS FOR PRODUCING A PLURALITY OF CONSIGNMENTS - In a method of tracking consignments during their production by one or more processing plants, a plurality of original orders are provided, each of the original orders including a plurality of consignments to be produced. Depending on predetermined properties of the consignments, at least one processing order is produced, the processing order including at least one consignment which is to be produced and stems from different original orders. The processing order is processed by the one or more processing plants so as to produce the respective consignments from the original orders. Each consignment which is to be produced and is contained in the original orders is unambiguously associated with the corresponding consignment in the processing order so as to enable, on the basis of the association, tracking of a consignment from the original order while it is being processed. | 11-28-2013 |
20130317886 | Customer Experience Management System Using Dynamic Three Dimensional Customer Mapping and Engagement Modeling - A system and method that creates a real-time dynamic three dimensional customer profile for customers and enriches the dynamically created three dimensional customer profile, to deploy the next best actions (NBA) or best business actions (BBA) so as to enhance customer experience includes a linear transaction processing engine that acquires data from disparate sources to create a three dimensional customer profile for each customer, a data miner that provides different types of analytics based on correlation processing between the customer profiles and also maps the customer engagement modeling onto the dynamic three dimensional customer profile to apply the most relevant next best action and best business action for that customer and a policy designer layer that designs and launch programs based on the generated dynamic three dimensional customer profile and a presentation layer responsible for user interactions. | 11-28-2013 |
20130325549 | RECALL AND MARKET WITHDRAWAL ANALYSIS - A computer system captures inventory data from an inventory management system on a recurring basis. The computer system stores the inventory data in a database that is separate from the inventory management system. The computer system determines, based at least in part on the inventory data stored in the database, an estimated financial impact to a retailer of recalling a merchandise type or withdrawing the merchandise type from market. After determining the estimated financial impact, the computer system outputs a report that indicates the estimated financial impact. | 12-05-2013 |
20130325550 | INDUSTRY SPECIFIC BRAND BENCHMARKING SYSTEM BASED ON SOCIAL MEDIA STRENGTH OF A BRAND - A brand monitoring platform (BMP) for brand benchmarking based on a brand's social media strength is provided. The BMP acquires input information on the brand and identifies industries related to the brand and competing brands. The BMP acquires social media information related to the brand and the competing brands from multiple social media sources via a network, dynamically generates categories in one or more hierarchical levels in each of the industries based on an independent analysis of the social media information, and sorts the social media information into the categories using a sorting interface. The BMP generates an aggregate score using an audience score determined by measuring an aggregate reach of the brand and the competing brands based on weighted audience score metric parameters, and an engagement score determined by measuring interaction between the brand and the competing brands and their followers based on weighted engagement score metric parameters. | 12-05-2013 |
20130325551 | SYSTEM AND METHOD FOR MODELING DEMAND AND OPTIMIZING PRICES WITH IMMUNITY TO OUT-OF-STOCK EVENTS - The disclosed technology improves the process of generating recommended prices for retail products. First, the present technology makes it possible to model shopper demand when sales data includes time periods with zero unit sales without hypothesizing whether the time periods are out-of-stock events or zero sales. This can be accomplished by applying a truncated Poisson distribution and the Newton-Raphson method to the non-zero unit sales to generate a coefficient vector that maximizes the likelihood of the observations in the sales data. Second, the present technology can be used to generate recommended prices for a group of products that optimize revenue and profit while limiting the number of products that require price changes to a predefined threshold value. This can be accomplished by iteratively replacing a current best value solution with a next best value solution across a collection of product networks until an acceptable number of unchanged prices is achieved. | 12-05-2013 |
20130332230 | System, Method, Software and Data Structure for Independent Prediction of Attitudinal and Message Responsiveness, and Preferences For Communication Media, Channel, Timing, Frequency, and Sequences of Communications, Using an Integrated Data Repository - The present invention provides a system, method, software and data structure for independently predicting attitudinal and message responsiveness, using a plurality of attitudinal or other identification classifications and a plurality of message content or version classifications, for a selected population of a plurality of entities, such as individuals or households, represented in a data repository. The plurality of predictive attitudinal (or identification) classifications and plurality of predictive message content (ore version) classifications have been determined using a plurality of predictive models developed from a sample population and applied to a reference population represented in the data repository, such as attitudinal, behavioral, or demographic models. For each predictive attitudinal (or identification) classification, at least one predominant predictive message content or version classification is independently determined. The exemplary embodiments also provide, for each predictive attitudinal classification, corresponding information concerning predominant communication media (or channel) types, predominant communication timing, predominant communication frequency, and predominant communication sequencing. | 12-12-2013 |
20130332231 | SYSTEMS AND METHODS FOR ESTIMATING DEMAND FOR ATTRACTIONS - Certain embodiments disclosed herein provide devices, systems, and methods of using location-based virtual audience feedback to estimate interest in an attraction at one or more venues. Certain embodiments provide devices, systems, and methods of using location-based virtual audience feedback and/or other audience data to estimate interest in a plurality of attractions or other items of interest at a particular venue. | 12-12-2013 |
20130332232 | INFRASTRUCTURE AND ARCHITECTURE FOR DEVELOPMENT AND EXECUTION OF PREDICTIVE MODELS - A system that enables development and execution of predictive models comprises a centralized data management system, a data extraction tool a model validation tool and a model execution tool. In embodiments, a data management system includes a data management server that can be accessed via a web browser that stores data. An extraction tool includes a data filter adapted to filter data based on, for example, a population criteria, a sample size, and a date range criteria. A model validation tool validates the model. A model execution tool allows a user to score the model. | 12-12-2013 |
20130332233 | PREDICTION SYSTEM AND PROGRAM FOR PARTS SHIPMENT QUANTITY - There is provided a system or others capable of predicting a parts shipment quantity varying in accordance with an assumed parts-purchase period (such as a charge-free warranty period of a product) (having a period length with taking a product shipping date as a starting point during which a customer is assumed to purchase parts) so that prediction accuracy can be increased more than a conventional one. In the prediction system ( | 12-12-2013 |
20130339087 | System, Method, Software and Data Structure for Independent Prediction of Attitudinal and Message Responsiveness, and Preferences For Communication Media, Channel, Timing, Frequency, and Sequences of Communications, Using an Integrated Data Repository - The present invention provides a system, method, software and data structure for independently predicting attitudinal and message responsiveness, using a plurality of attitudinal or other identification classifications and a plurality of message content or version classifications, for a selected population of a plurality of entities, such as individuals or households, represented in a data repository. The plurality of predictive attitudinal (or identification) classifications and plurality of predictive message content (ore version) classifications have been determined using a plurality of predictive models developed from a sample population and applied to a reference population represented in the data repository, such as attitudinal, behavioral, or demographic models. For each predictive attitudinal (or identification) classification, at least one predominant predictive message content or version classification is independently determined. The exemplary embodiments also provide, for each predictive attitudinal classification, corresponding information concerning predominant communication media (or channel) types, predominant communication timing, predominant communication frequency, and predominant communication sequencing. | 12-19-2013 |
20130339088 | RECURRING REVENUE MANAGEMENT BENCHMARKING - A recurring revenue benchmarking system and method are disclosed. A repository storing aggregate information regarding service revenue renewals is accessed. The aggregate information includes historical data generated by one or more commercial entities, and is defined according to one or more metrics related to renewal of one or more service assets by the one or more commercial entities. A predictive model is generated based on the aggregate information accessed from the repository. A set of parameters representative of at least one offer for renewal of a service asset within a sales period is defined. The offer relates to at least one recurring revenue asset managed by a first commercial entity using a recurring revenue management system. A predicted outcome for the offer is calculated using the set of parameters of the offer as input to the predictive model, where the predicted outcome represents a likelihood of an outcome of the offer according one or more metrics related to the renewal of the service asset within the sales period. | 12-19-2013 |
20130339089 | VISUAL REPRESENTATIONS OF RECURRING REVENUE MANAGEMENT SYSTEM DATA AND PREDICTIONS - Visual representations of recurring revenue management system data and predictions are disclosed. A user interface is generated for an electronic display, the user interface including a graphical representation of one or more recurring revenue assets, the graphical representation representing each of the one or more recurring revenue assets according to one or more metrics that define each of the one or more recurring revenue assets. A predicted outcome for at least one of the one or more recurring revenue assets is predicted, the calculating being from a predictive model that is based on aggregate historical information collected from one or more data sources. A graphical representation of the predicted outcome is generated according to one or more parameters related to the one or more metrics, for concurrent display in the user interface with the graphical representation of one or more recurring revenue assets. | 12-19-2013 |
20130339090 | SYSTEM FOR REAL TIME VERIFICATION AND DETECTION OF STOCK SHORTAGES OF GOODS DISPLAYED FOR SALE - Real time stock break survey system for products displayed on sale, comprising at least one position sensor means or presence sensor means positioned on the display surface nearby the group of products under stock break survey, at least one transmission means to transmit the data detected by said sensor means and notified to said transmission means, and a data processing and management unit provided with a software program for the management of the detected data, and communicating with said transmission means. | 12-19-2013 |
20130346150 | SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR FORECASTING SALES - In general terms, embodiments of the present invention relate to systems, methods, and computer program products for determining forecasting data relating to a product using a neural network and accessing that forecasting data. In some embodiments, a system is provided that includes (a) forecasting apparatus, which stores product information, a data matrix, and a neural network; and (b) a computing system that access the forecasting apparatus via a web portal and transmits some or all of the product information to the forecasting apparatus. In some embodiments, the forecasting apparatus is configured to determine a sales forecast using the product information, data matrix, and neural network and present the sales forecast to the computing system via the web portal. | 12-26-2013 |
20130346151 | SYSTEMS AND METHODS FOR AUTOMATED VALUATION OF REAL ESTATE DEVELOPMENTS - Examples of systems and methods for determining automated valuations of real estate developments are disclosed. In various embodiments, the systems and methods can receive information on properties that are to be constructed in the development. The systems and methods can use automated valuation models (AVMs) to calculate valuations for the properties and to determine a valuation for the development based at least partly on the AVM valuations. In some implementations, the systems and methods can forecast market demand for the properties and generate a sales timeline for projected sales of the properties. The systems and methods can be used to value residential, commercial, or mixed-use real estate developments. | 12-26-2013 |
20130346152 | DETERMINING CUSTOMER GROUPS FOR CONTROLLED PROVISION OF OFFERS - A controlled and optimal provision of offers to customers on associated products is described. A three dimensional matrix characterizes product, customer, and time dimensions. Each product is associated with volume constraint(s). The three dimensional matrix is populated with scores. A score characterizes likelihood of a customer to purchase a corresponding product in an associated time period. First pairs of products and customers are randomly selected. The scores associated with the first pairs are changed to zero. Using volume constraints, an optimization is performed that excludes customers of the first pairs from a provision of best offers so that those customers are provided alternate offers. Based on the volume constraints, second pairs of products and customers are selected. The scores associated with the second pairs of products and customers are changed to one. Using volume constraints, optimization is performed such that customers of the second pairs are always provided best offers. | 12-26-2013 |
20130346153 | PRODUCTS OR SERVICES DEMAND ANALYTICS SYSTEMS AND RELATED METHODS AND ELECTRONIC EXCHANGES - Products or services demand analytics systems are provided. The systems may include a processor configured to determine whether to make an offer from a buyer to purchase a product or service at a buyer-determined price available to a seller of the product or service, based on a demand analytics preference of the seller for the product or service. Moreover, the processor may be configured to adjust whether the offer is made available to the seller and/or how the offer is communicated to the seller in response to an adjustment by the seller of the demand analytics preference for the product or service. Related methods and electronic exchanges are also described. | 12-26-2013 |
20130346154 | SYSTEMS AND METHODS FOR AUDIENCE MEASUREMENT ANALYSIS - Example methods, apparatus, systems, and computer-readable storage media for audience measurement analysis. An example method includes determining an engagement model defining a relationship between media performance data, media activity data, and a rating score. The media performance data is associated with a first time period and the media activity data associated with a second time period where the second time period is before the first time period. The example method includes applying first media performance data and first media activity data to the engagement model to determine coefficients for parameters of the engagement model. The parameters of the engagement model are associated with the media performance data and the media activity data. The example method includes applying second media performance data and second media activity data associated with media to the engagement model using the coefficients to determine a rating score for the media. The rating score reflects a percentage of an audience that is exposed to the media. | 12-26-2013 |
20140006103 | EXTENSIBILITY FOR SALES PREDICTOR (SPE) | 01-02-2014 |
20140012625 | Market Positioning System - System(s) and method(s) for market positioning of a plurality of similar products of a plurality of competing brands are described herein. In one implementation, the method includes processing market data of the plurality of similar products of the plurality of competing brands to obtain a volumetric dataset. The method further includes creating one or more models based on the volumetric dataset to estimate parameters, wherein the parameters are indicative of at least one of cross demand elasticity, brand switching and share switching among the plurality of similar products of the plurality of competing brands. The method also includes simulating the one or more models to generate an output indicative of the market positioning of the plurality of similar products of the plurality of competing brands. | 01-09-2014 |
20140012626 | PREDICTIVE CUSTOMER SERVICE ENVIRONMENT - A mechanism for facilitating customer interactions within a customer service environment provides prompt and accurate answers to customer questions. A smart chat facility for use in a customer service environment to predict a customer problem examines a customer chat transcript to identify customer statements that set forth a customer issue and, responsive to this, can route the customer to an agent, an appropriate FAQ, or can implement a problem specific widget in the customer UI. Customer queries are matched with most correct responses and accumulated knowledge is used to predict a best response to future customer queries. The iterative system thus learns from each customer interaction and can adapt to customer responses over time to improve the accuracy of problem prediction. | 01-09-2014 |
20140012627 | SERVICE DESIGN AND ORDER FULFILLMENT SYSTEM WITH TECHNICAL ORDER CALCULATION PROVIDER FUNCTION - A system that generates a technical order is provided. The system receives a configuration delta including a change in a configuration of resource-facing services or resources. The system further generates technical actions that effectuate the configuration delta, where each technical action includes metadata that defines a pattern of a structured request to perform work on a resource-facing service that is based on a resource-facing service specification or a resource that is based on a resource specification. The system further generates technical order lines, where each technical order line includes a technical action and a resource-facing service that is based on a resource-facing service specification or a resource that is based on a resource specification. | 01-09-2014 |
20140012628 | ESTIMATING WHOLESALE DEMAND FOR CONSUMER PRODUCTS - A system and a method are disclosed for providing buyers of products with a customized list of products for sale that meet the buyers' criteria, capturing buyers' interactions with the products and analyzing the product's popularity based on the interactions. | 01-09-2014 |
20140019205 | IMPACT MEASUREMENT BASED ON DATA DISTRIBUTIONS - A system and method provide for performing impact analysis for influencing attributes in a sales forecasting system. The sales forecasting system uses integrated predictive and statistical methods to help measure the variance of relevant data sets to guide an end user to relevant influencing attributes. The sales forecasting system may perform a statistical analysis to derive a sequence for the influencing attributes, and display the attributes to an end user in a specific sequence based on the performed statistical analysis. | 01-16-2014 |
20140019206 | PREDICTIVE CONFIDENCE DETERMINATION FOR SALES FORECASTING - A system and method provide for identifying relevant success drivers from previous historical sales data and separating sales data into successful and unsuccessful business segments by generating predictive confidence determinations. After the successful and unsuccessful business segments have been identified, the business segments may be classified into determined confidence categories or levels. Each opportunity in an opportunity pipeline is assigned to a specific business segment and corresponding confidence level. A simulation of the sales forecasting system displays an opportunity pipeline broken done into confidence levels for each of the opportunities. | 01-16-2014 |
20140019207 | INTERACTIVE IN-MEMORY BASED SALES FORECASTING - A system and method provide for a sales forecasting application implemented on a user terminal. The sales forecasting system uses integrated predictive and statistical methods to evaluate the reliability of the forecast. The sales forecasting system may perform a statistical analysis to derive a sequence for the influencing attributes, driving sales success in the past, and display the attributes to an end user in a specific sequence. The sales forecasting system may further be implemented through a sequences of stages, including a pipeline analysis stage where the system understands the situation and any possible risks, an analysis stage where the system may analyze past or external influences, and an application stage where the forecasting system applies the insights to a current pipeline and provides a determined simulation. | 01-16-2014 |
20140019208 | METHODS AND APPARATUS TO EVALUATE MODEL STABILITY AND FIT - Methods, apparatus, systems and articles of manufacture are disclosed to evaluate model stability and fit. An example method disclosed herein includes building a fit function based on causal factors associated with a marketing mix model, building a stability function based on override factors associated with corresponding ones of the causal factors, and integrating scaling factors into the stability function to facilitate a combined regression analysis of the fit function and the stability function, the scaling factors respectively associated with corresponding causal factors. | 01-16-2014 |
20140032268 | IDENTIFYING ITEMS AT DISPOSAL FOR GENERATING HOUSEHOLD CONSUMPTION DATA - Technologies are generally described for gathering household consumption data at product disposal and determining a household consumption behavior. Disposed items may be identified through various identification techniques such as optical image capture based identification, a barcode based identification, or a Radio Frequency Identification (RFID) tag based identification at a point of disposal by a collecting entity associated with additional information such as address, date/time of collection, etc. for a household consumption database. A household consumption behavior may be determined based on analysis of the household consumption database and a report of the household consumption behavior may be provided to business and legal entities for allowing the entities to use the household consumption data for targeting consumers for marketing, as well as for legal, and regulatory purposes. | 01-30-2014 |
20140032269 | DATA PERTURBATION OF NON-UNIQUE VALUES - In embodiments of the present invention, improved capabilities are described for perturbing non-unique values may comprise finding the non-unique values in a data table, perturbing the non-unique values to render unique values, and using the non-unique values as an identifier for a data item. | 01-30-2014 |
20140039978 | SYSTEMS AND METHODS FOR ANALYZING FORECASTS AND RESPONSES IN COLLABORATIVE INVENTORY MANAGEMENT SETTINGS - A collaborative inventory management forecast and response analysis system includes a forecast and response summary engine and a display engine. The forecast and response summary engine is to generate a summary of a plurality of standardized forecast input series using continuum canonical correlation and a user-provided parameter, generate a summary of a plurality of standardized response input series using continuum canonical correlation and the user-provided parameter, and update the summaries of the plurality of standardized forecast and response series based on a varied value of the user-provided input parameter. The display engine is to display the summaries of the plurality of standardized forecast and response series and display the updated summaries of the plurality of standardized forecast and response series. | 02-06-2014 |
20140039979 | System and Method for Demand Forecasting - A system and method for demand forecasting is provided. The system includes a computer system and a demand forecasting engine executed by the computer system. The demand forecasting engine permits inventory management and price optimization, with improved prediction accuracy. The system includes a nonlinear time series model which is able to simulate the market trend of a certain product in the past and make a demand forecast for the future. The system provides initial estimates for new products in a new season, and is self-adjusting with limited data points in the beginning of the season. In this way, the system provides solutions for demand forecasting of old and new products. Furthermore, pricing optimization solutions (e.g., Markov decision processed (MDP) based, etc.) can be built on the basis of the demand forecasting solutions. The system is applicable to many marketing-related problems and is particularly reliable for products which follow a certain cycle. | 02-06-2014 |
20140058793 | FORECASTING A NUMBER OF IMPRESSIONS OF A PROSPECTIVE ADVERTISEMENT LISTING - Technologies pertaining to advertisement impression forecasting are described herein. An advertiser sets forth a proposed bid value for a prospective advertisement listing with respect to a keyword for a defined range of time. A number of auctions for the keyword in which the prospective advertisement listing will participate is estimated. A generative model that models auctions for the keyword is sampled to simulate auctions for the keyword, wherein the number of simulated auctions is equivalent to the number of auctions for the keyword in which the prospective advertisement listing is estimated to participate. For each simulated auction, a determination is made regarding whether the prospective advertisement listing wins the auction based upon the proposed bid value set forth by the advertiser. A number of simulated auctions won by the prospective advertiser is output as a forecasted number of impressions for the advertisement over the defined range of time. | 02-27-2014 |
20140058794 | Method And System For Orders Planning And Optimization With Applications To Food Consumer Products Industry - A system, a computer program product, and a method for order planning and optimization are disclosed. A first data is received, where the first data represents historical shipment data of an item from a distributor to a location. The received first data is processed and a model for at least one shipping pattern of the item from the distributor to the location is determined based on the processed received first data. A forecast for a future shipping demand of the item by the location is generated based on the determined model. At least one shipping pattern of the item from the distributor to the location is optimized based on the generated forecast. | 02-27-2014 |
20140058795 | SYSTEM, METHOD AND COMPUTER PROGRAM FOR FORECASTING RESIDUAL VALUES OF A DURABLE GOOD OVER TIME - Systems, methods and computer program products for forecasting future values of an item, where an initial value for the item is determined, and then a baseline forecast for a future reference period is computed based on factors that include microeconomic data which is specific to an industry of the item and macroeconomic data which is non-specific to the industry of the item. The forecast may also be adjusted based on data for a set of competitive items. The forecast for the item is stored and is then made available to clients that can access the forecast to determine the expected future value of the item at some point in the future. | 02-27-2014 |
20140067466 | METHODS AND APPARATUS TO FORECAST NEW PRODUCT LAUNCH SOURCING - Methods and apparatus are disclosed to forecast new product launch sourcing. An example method includes identifying shared attributes between the new product and a plurality of existing products in the target market, calculating theoretical co-penetration values between the attributes shared between the new product and at least one of the plurality of existing products, calculating actual co-penetration values between the attributes shared between the new product and at least one of the plurality of existing products, calculating an attribute distance value between corresponding ones of the theoretical and actual co-penetration values, and calculating a percent volume of the new product expected to be sourced from one of the plurality of existing products based on the attribute distance value. | 03-06-2014 |
20140067467 | ADJACENCY OPTIMIZATION SYSTEM FOR PRODUCT CATEGORY MERCHANDISING SPACE ALLOCATION - A system is disclosed for optimizing product merchandising area allocation. One example includes receiving inputs defining financial metrics for product categories. A linear regression model forecasts responses of the financial metrics for the product categories to endogenous variables, which include sales per merchandising area per product category per store and total sales volume per store. Each of the product categories includes a user option to select constraints for either a minimum and maximum of an area in which the product category is displayed, or a minimum and maximum change from a current area in which the product category is displayed. The system generates a merchandising plan that optimizes for the combined total of the financial metrics of the product categories in accordance with the linear regression model, including changes in merchandising area for each of a plurality of the product categories, within the selected constraints. | 03-06-2014 |
20140067468 | METHOD AND APPARATUS FOR SUPPLY RANGE BASED FORECASTING | 03-06-2014 |
20140067469 | TRAVEL DEMAND FORECAST USING SHOPPING DATA - A profit optimization module identifies historical transaction data associated with a travel property. The historical transaction data includes bookings made for a same day of the week as the day of arrival during a forecast period for a plurality of previous weeks. The profit optimization module also identifies lost business data associated with the travel property from the historical transaction data. The lost business data includes at least one of a regret or a denial. The profit optimization module forecasts a demand for bookings at the travel property on a day of arrival, wherein the demand for bookings is based on at least in part on the historical transaction data and the lost business data. In addition, the profit optimization module determines an offer price for a booking of a unit at the travel property, wherein the offer price is based on a capacity of the travel property and the forecasted demand for bookings at the travel property, and wherein the offer price is designed to increase a profit for the travel property. | 03-06-2014 |
20140067470 | PREDICTIVE AND PROFILE LEARNING SALES AUTOMATION ANALYTICS SYSTEM AND METHOD - A sales automation system and method, namely a system and method for scoring sales representative performance and forecasting future sales representative performance. These scoring and forecasting techniques can apply to a sales representative monitoring his own performance, comparing himself to others within the organization (or even between organizations using methods described in application), contemplating which job duties are falling behind and which are ahead of schedule, and numerous other related activities. Similarly, with the sales representative providing a full set of performance data, the system is in a position to aid a sales manager identify which sales representatives are behind others and why, as well as help with resource planning should requirements, such as quotas or staffing, change. | 03-06-2014 |
20140081704 | DECISION SUPPORT SYSTEM BASED ON ENERGY MARKETS - A system for purchasing and selling power that fairly accommodates sellers and buyers. For instance, a submarket may be formed between a utility company or retailer and its consumer or customer. The utility or retailer may eliminate differences between generated or purchased power and demanded power. Mechanisms used for elimination of power differences may incorporate utilizing power from ancillary services, purchasing or selling power on the spot market, and affecting a demand for power with demand response programs. A difference between purchased power and demanded power may be minimized by forming an optimal power stack having a mix of power of the demand response program, power at the spot market and/or power of ancillary services. An optimization sequence may be implemented to minimize the difference between the purchased power and demanded power, and to maximize profit. | 03-20-2014 |
20140081705 | INDUSTRY SIZE OF WALLET - Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset. | 03-20-2014 |
20140081706 | Industry Specific Brand Benchmarking System Based On Social Media Strength Of A Brand - A brand monitoring platform (BMP) for brand benchmarking based on a brand's social media strength is provided. The BMP acquires input information on the brand and identifies industries related to the brand and competing brands. The BMP acquires social media information related to the brand and the competing brands from multiple social media sources via a network, dynamically generates categories in one or more hierarchical levels in each of the industries based on an independent analysis of the social media information, and sorts the social media information into the categories using a sorting interface. The BMP generates an aggregate score using an audience score determined by measuring an aggregate reach of the brand and the competing brands based on weighted audience score metric parameters, and an engagement score determined by measuring interaction between the brand and the competing brands and their followers based on weighted engagement score metric parameters. | 03-20-2014 |
20140081707 | DISAMBIGUATING POINT-OF-SALE DATA THROUGH ITEM INDEXING - Methods, apparatus, and computer-readable medium can disambiguate point-of-sale data. One method receives one or more measured values. Each measured value indicating a quantity of sales allocated to a respective individual item. The method also receives an unallocated value indicating a quantity of sales allocated to an undifferentiated grouping of a plurality of the individual items. The method calculates, for each individual item of the plurality of the individual items associated with the undifferentiated grouping, a fraction of the undifferentiated grouping attributable to the respective individual item, and estimates a total sales value for at least one of the plurality of the individual items, based at least in part upon a respective measured value and a respective fraction of the undifferentiated grouping attributable to the respective individual item. | 03-20-2014 |
20140089044 | SYSTEM AND METHOD FOR IDENTIFYING AND PRESENTING BUSINESS-TO-BUSINESS SALES OPPORTUNITIES - The present invention relates to a system and method for efficiently identifying the sales opportunities in a business-to-business market environment. It provides a computer-implemented predictive sales intelligence system and method for identifying sales opportunities. The present invention is a computer implemented system and method for efficiently identifying reliable purchase pattern profiles through scientific analysis of customer data. It includes a system and method for calculating a customer's purchase profile, clustering customers based on similarity of their purchase profile, and efficiently providing a reliable set of opportunities including lost sales (retention) and cross-selling (wallet share expansion) opportunities. It uses this reliable estimate of sales opportunities to retain and expand wallet share for customers. | 03-27-2014 |
20140089045 | METHODS, APPARATUS AND SYSTEMS FOR DETERMINING STAND POPULATION, STAND CONSISTENCY AND STAND QUALITY IN AN AGRICULTURAL CROP AND ALERTING USERS - A computer-based system for combining data related to stand population, consistency and quality in agricultural crops and dynamically analyzing the data whereby stand determinations based on that analysis during a crop growing season can be made. The system is programmed to alert a user (farmer) or other designated parties when the stand fails to meet user-defined parameters. | 03-27-2014 |
20140089046 | System, Method and Computer Program Product for Demand-Weighted Selection of Sales Outlets - In embodiments disclosed herein, a computer may operate to determine, for each member in a set and each non-member under consideration for the set, an expected revenue to be passed to an organization. The expected revenue may be determined utilizing a plurality of weighted features. Members in the set may be ranked according to their expected revenues. Top performing members in the set may be protected to ensure their expected revenues. Bottom performing members may be removed from the set and/or replaced with new members outside of geographical protective areas of the top performing members. The optimization process can be repeated until the set of members can satisfy an existing demand and/or revenue for the organization is maximized. | 03-27-2014 |
20140089047 | Leveraged Usage of Information Regarding Real Estate Offerings - A control circuit gathers information regarding a plurality of independent variables for a given real estate offering. The control circuit then uses this information in conjunction with a computer-calculated model to forecast one or more of real estate buyer demand (forward looking), real estate pricing (current market), and real estate marketing effectiveness (forward looking). By one approach this can comprise applying such information in a regression analysis. By one approach, some or all of the aforementioned information can reflect interactions between at least one prospective real estate purchaser on the one hand and a web-based presentation that offers the given real estate offering for sale on the other hand. | 03-27-2014 |
20140095257 | ANALYZING USER ACTIONS IN A SOCIAL GRAPH - A method includes collecting user interaction data for one or more users in an extended social network, clustering each of the one or more users into one or more groups of users based on the collected user interaction data for each user, wherein each of the one or more users is clustered into no more than one group of the one or more groups of users, monitoring, over a time period, a change in a size of each group of users at one or more increments of the time period and generating observation information for each group of users during each of the one or more increments of the time period, wherein the observation information is based on the monitored change in size of each group of users. | 04-03-2014 |
20140100915 | Systems and Methods for Estimating Sales and Marketing Parameters for a Product - Systems and methods are provided for determining sales estimates and budget parameters associated with a release of a product. According to certain aspects, an electronic device identifies ( | 04-10-2014 |
20140100916 | ALLOCATING COMMODITY SHELVES IN A SUPERMARKET - A method of allocating shelves includes obtaining shopping paths of customers in a supermarket, classifying the plurality of customers into a plurality of customer classes based on the shopping paths of the plurality of customers, determining one or more shopping paths adopted by more customers in the plurality of customer classes as frequent shopping paths of a class of customers of the plurality of customer classes, calculating a see-buy rate of a commodity for each of the plurality of customer classes based on shopping lists and the frequent shopping paths of the plurality of customers, calculating a location for a set of commodities when total expected benefits for the set of commodities are maximized during a certain period of time. The total expected benefits include a sum of an expected benefit for each commodity in the set of commodities based on the see-buy rate and the frequent shopping paths. | 04-10-2014 |
20140108093 | DISTRIBUTED FORECASTING AND PRICING SYSTEM - A method, system and computer program product for distributed forecasting and pricing for a commodity supplied by a provider to a user. In one embodiment, the provider announces a pricing plan, and the provider receives a forecast of an estimated amount of the commodity from the provider that the user will use over a given period of time. The provider provides the user with an actual amount of the commodity over the given period; and the provider charges the user for the actual amount of the commodity provided to the user based on the pricing policy, the actual amount of the commodity provided to the user, and the accuracy of the forecast. In an embodiment, the forecast is received by the provider after the provider announces the pricing plan and before the given period begins. The forecast may be received from the user or from a third-party forecaster. | 04-17-2014 |
20140108094 | SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR FORECASTING PRODUCT SALES - In general terms, embodiments of the present invention relate to systems, methods, and computer program products for determining forecasting data relating to a product using a neural network and accessing that forecasting data. In some embodiments, a system is provided that includes (a) forecasting apparatus, which stores product information and a neural network; and (b) a computing system that access the forecasting apparatus via a web portal and transmits some or all of the product information to the forecasting apparatus. In some embodiments, the forecasting apparatus is configured to determine an initial sales forecast using at least a portion of the product information and the neural network, modify the initial sales forecast to generate a final sales forecast, and present the final sales forecast to the computing system via the web portal. | 04-17-2014 |
20140114724 | SYSTEM AND METHOD FOR DETERMINING UTILITY COST SAVINGS - A computer system for identifying utility cost savings is provided. The computer system includes a memory and at least one processor coupled to the memory. The at least one processor is configured to receive usage information gathered from at least one site via a first interface, administer a utility questionnaire via a second interface, and determine recommendation information describing a plurality of cost savings recommendations for the at least one site based on a set of responses to the questionnaire and the usage information. | 04-24-2014 |
20140122173 | ESTIMATING SEMI-PARAMETRIC PRODUCT DEMAND MODELS - Methods, systems, and computer-readable and executable instructions are provided for estimating semi-parametric product demand models. Estimating a semi-parametric product demand model can include identifying a set of products from input market sales data, analyzing the market sales data to determine a relationship between a plurality of factors of the set of products, and estimating the semi-parametric product demand model based on the determined relationship using iterative estimation of a plurality of incremental data trees. | 05-01-2014 |
20140122174 | TECHNIQUES FOR FORECASTING RETAIL ACTIVITY - Techniques for forecasting retail activity are provided. External events to a retailer are evaluated in view of attributes and associations of the retailer and in view of operational metrics associated with the retailer. Based on the evaluation, recommendations for forecasting resources are dynamically presented to the retailer. | 05-01-2014 |
20140122175 | SIMULATION DEVICE FOR LIQUIDATION OF FARMLAND - A device is provided that predicts in advance a farm that will be liquidated due to farm retirement or finds a renter of the farm. CPU | 05-01-2014 |
20140122176 | PREDICTIVE MODEL OF RECURRING REVENUE OPPORTUNITIES - A set of offers for renewal of service assets within a sales period can be differentiated. A set of parameters representative of each offer in the set of offers can be analyzed. The set of parameters can include at least one user-provided constraint on an expected outcome of each offer. A predicted outcome can be calculated for the set of offers based on an applied predictive model using the set of parameters as inputs. The at least one constraint for at least one offer of the set of offers can be updated based on at least one sales outcome occurring during the sales period, and a predicted outcome for the set of offers can be recalculated based on the set of parameters comprising the updated at least one constraint. Related methods, systems, and computer program products are described. | 05-01-2014 |
20140122177 | ELECTRIC POWER DEMAND RESPONSE SYSTEM AND METHOD - The present invention provides an electric power demand response system and method. The system includes an agent group including at least one agent, a total load calculation module and an electricity price calculation module; wherein each agent is adapted to receive electricity price data output by the electricity price calculation module and simulate electricity consumption behavior of a user under the effect of the electricity price, and output load data of the user; the total load calculation module is adapted to receive load data output by all the agents in the agent group and thereby calculate a total load of the agent group; and the electricity price calculation module is adapted to receive the total load of the agent group calculated by the total load calculation module and receive policy data, and thereby calculate a proper electricity price data. | 05-01-2014 |
20140122178 | METHOD FOR OPTIMIZING NEW VEHICLE INVENTORY FOR A CAR DEALERSHIP - A computer implemented method for optimizing automobile dealer inventory includes determining at least one future purchase intention metric for a catchment area in which a dealer is located, determining expected future retail sales of a vehicle type based on the determined future purchase intention metric, comparing the expected future retail sales of the vehicle type to an expected inventory of the vehicle type for at least one time period, and outputting a recommended adjustment to at least one of a current inventory of the vehicle type and an on-order inventory of the vehicle type, thereby ensuring that a more desirable stock level is maintained for the at least one time period. | 05-01-2014 |
20140122179 | METHOD AND SYSTEM FOR DETERMINING LONG RANGE DEMAND FORECASTS FOR PRODUCTS INCLUDING SEASONAL PATTERNS - An improved method and system for forecasting product demand using a causal methodology, based on multiple regression techniques. The improved causal method identifies year-over-year trending effects within historical product demand data, removes the trending effects from the calculation of seasonal factors used in determining product demand forecasts, calculates trend factors from the identified trending effects, and applies the trend factors and de-trended seasonal factors to initial product demand forecasts when determining final demand forecasts for the products. | 05-01-2014 |
20140122180 | METHOD AND SYSTEM FOR ADJUSTING PRODUCT ORDERS DURING REPLENISHMENT SOURCE CHANGES - A method and system for adjusting product store order quantities when a retail store is moving a replenishment source from a current distribution center to a new distribution center. The method determines a last delivery date for a last product order from the current distribution center to be placed prior to a product replenishment source change date, and a first delivery date for a first product order from the new distribution center to be placed following the product replenishment source change date; and compares the two delivery dates to determine which delivery will occur first. When the first delivery date for new distribution center predates the last delivery date for the current distribution center, the last product order from the current distribution center is suspended. When the last delivery date for the current distribution center predates the first delivery date for the new distribution center, the quantity of product associated with the last product order from the current distribution center is increased to avoid a product deficiency at the retail store. | 05-01-2014 |
20140122181 | DEMAND RESPONSE LOAD FORECASTER - A demand response system having an improved load forecaster connected to a decision engine. A basis of the improved forecaster may be an introduction of an explanatory variable which is a time-based shaping function that allows capturing a demand response (DR) lead and DR rebound effect, and the like, capturing a shape of load reduction, given by an applied DR action. The engine may receive information from the forecaster and utility relative to behavior of a DR customer, market price, renewable energy generation, grid status, and so on. The engine may provide optimal timing, selection of resources, and so forth, to a DR automation server, which in turn may provide DR signals to customers. The customers may provide data consumption data to a database. Electricity generation data may also be provided to the database. Selected relevant data from the database and weather information may go to the load forecaster. | 05-01-2014 |
20140129290 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR PREDICTING ITEM PREFERENCE USING REVENUE-WEIGHTED COLLABORATIVE FILTER - Embodiments disclosed provide a system, method, and computer program product for identifying consumer items more likely to be bought by an individual user. In some embodiments, a collaborative filter may be used to rank items based on the degree to which they match user preferences. The collaborative filter may be hierarchical and may take various factors into consideration. Example factors may include the similarity among items based on observable features, a summary of aggregate online search behavior across multiple users, the item features determined to be most important to the individual user, and a baseline item against which a conditional probability of another item being selected is measured. | 05-08-2014 |
20140136280 | Predictive Tool Utilizing Correlations With Unmeasured Factors Influencing Observed Marketing Activities - Methods and apparatus for a predictive tool utilizing correlations with unmeasured factors influencing marketing activities are described. A method comprises determining a set of measurable factors with which decisions to perform a type of marketing activity are correlated, and a set of measurable factors with which a category of entity results is correlated. The method includes generating, using the sets of measurable factors, a model configured to predict probabilities of results of the category of results. The prediction is based on a correlation determined between unmeasured factors represented in the model as influencing the category of results, and one or more unmeasured factors represented in the model as influencing decisions on implementing the type of marketing activity. The method comprises using the model to predict the probability of a particular entity result. | 05-15-2014 |
20140136281 | METHOD AND SYSTEM FOR CREATING A NATURAL GAS OR OTHER ALTERNATE FUEL REFUELING STATION NETWORK - A method for creating an alternate fuel vehicle refueling network includes receiving first location data and first alternate fuel refueling station interest data from a first remote device; receiving second location data and second alternate fuel refueling station interest data from a second remote device; and using the first location data, first alternate fuel refueling station interest data, second location data and second alternate fuel refueling station interest data to permit creation of a first alternate fuel refueling station. | 05-15-2014 |
20140136282 | Method and Apparatus for Consumer Procurement Aggregation - A method, system and computer program for accumulating information relating to product demand and consumption for each of a plurality of end users by a buying group representing a single purchase in bulk to disintermediate the supply chain, accumulating the received product demand into a predictive demand schedule by an expert service provider, and transmitting the accumulated predictive product demand schedule to a manufacturer/original source of the product by the expert service provider. Product availability information based upon the accumulated predictive product demand is received from the manufacturer/original source of the product, and is provided to the plurality of end users. One or more product orders are received, the product is ordered from the manufacturer/original source of the product, all aspects of the supply chain being managed by the expert service provider, and the product is shipped to one or more of the plurality of end users. | 05-15-2014 |
20140143013 | SYSTEM AND METHOD FOR ANALYZING SOCIAL MEDIA TRENDS - Disclosed are methods for identifying topical experts from a seed set of experts by identifying “second tier” influencers for the topic. New concepts detected among a pool of experts and second tier influencers are monitored among the general population and their significance evaluated. Reports may be generated for these detected trends. Trends in social media for a concept represented in a taxonomy may be detected by monitoring content for descendent nodes for the concept. Correlations between social media activity with respect to the concept and sales of products corresponding to the concept may be made and sales predicted for the same or different products that correspond to descendants of the concept in the taxonomy. | 05-22-2014 |
20140143014 | INFORMATION ANALYSIS SYSTEM AND METHOD FOR NETWORK TRANSACTIONS - The present invention provides an information analysis system for network transactions, characterized in that the analysis system comprises: a product information database for storing product information; personal consumption space for publishing and residing subscription information of a user; an information publishing module for publishing the subscription information in the personal consumption space; an extracting module for extracting the subscription information from the personal consumption space; and a classifying, statistics making and analyzing module for classifying, making statistics on or analyzing the extracted subscription information, and then sending the classified, statistical or analyzed relevant information to a service end. The present invention also provides an information analysis method for network transaction. By means of the information analysis system and method for network transactions of the present invention, it is possible to make statistics on and classify subscription information of multiple users prior to sending to the service end, thereby guiding the service end in judging commodity production quantity. | 05-22-2014 |
20140143015 | Methods and Systems for Providing a Personal Consumer Product Evaluation Engine - A system and method for predicting the preference of a user product consumer for a consumer product, e.g., a wine, which may comprise collecting in a database consumer product preference data relating to the prediction of a preference of the user from at least one of the user and a separate group of product consumers; receiving from the user a request for a prediction of the preference of the user for one of a consumer product and a pre-selected set of related consumer products; analyzing the collected preference data against previously collected data specific to one of the consumer product and the pre-selected set of consumer products; calculating a predicted preference rating; and receiving and storing a preference rating based upon the user having utilized the one of the consumer product and the pre-selected set of consumer products and including the received preference rating in the product preference data. | 05-22-2014 |
20140149180 | SALE PREDICTION ENGINE RULES - Disclosed is an improved method, system, and computer product for implementing a rules engine to be used in conjunction with a sale prediction engine. A rules dictionary may be used to define a logical data model for one or more rules. Predictions may be generated by applying the rules to attributes extracted from customer entities. | 05-29-2014 |
20140156346 | METHODS AND SYSTEMS FOR DYNAMIC DEMAND SENSING - Described herein is a technology for facilitating dynamic demand sensing. In some implementations, demand sensing data is received from a consumer device. The demand sensing data is generated while the consumer device is in-store. An information management system is updated with the demand sensing data. Analytics may then be performed on the demand sensing data to generate a demand report displayed at the information management system. | 06-05-2014 |
20140156347 | Enhanced Market Basket Analysis - The current subject matter describes a generation of a score based on an enhanced market basket analysis (eMBA). An eMBA model can receive historical data characterizing historical purchases of a plurality of products over a specified time-period. In response, the eMBA model can generate baskets, which can include data that is causal and predictive. The generated baskets can be provided as an input to a group generator. The group generator can then generate product groups and confidence values. The product groups and confidence values can be provided to a score generator. In run-time, the score generator can receive current product data, and in return, can use the product groups and confidence values to generate a score. The score can characterize a likelihood of a purchase of the product by a corresponding customer associated with the product group. Related methods, apparatuses, systems, techniques and articles are also described. | 06-05-2014 |
20140156348 | SYSTEM AND METHOD FOR INVENTORY MANAGEMENT - An inventory management system and method computes a safety stock level for each day of the week based on specific historical data for that day of the week, independent of other days in the sales cycle. The inventory management system therefore accommodates cyclic trends over different days of the week (or other sales periods) to identify a forecast error specific to the day of the week, rather than an average over many days, and allow for a safety stock level as recorded by surges on a particular day due to random factors. The generated safety stock levels generate for each SKU (Item at a location) inventory replenishment criteria streamlined to order only those quantities needed to maintain the safety stock level, and further assure that a near complete in-stock percentage (such as 95% or 97%) is maintained. The system generates ordering quantities that are specific to the day of the week calculated over a week of sales. | 06-05-2014 |
20140164059 | Heuristics to Quantify Data Quality - Various embodiments provide an ability to detect an input associated with an element for which a cascading operation has been defined. Some embodiments apply the cascading operation to the element, and further apply one or more cascading operations to less than all ancestral elements in an associated tree for which cascading operations have been defined. In some cases, the one or more cascading operations can be applied to one or more respective ancestral elements after a predefined waiting period. | 06-12-2014 |
20140164060 | SYSTEMS AND METHODS FOR FORECASTING DISCOUNTS USING CROWD SOURCE INFORMATION - Systems and methods for forecasting discounts are described herein. In some embodiments, the systems and methods utilize marketplace information to calculate an initial probability that an item will be subject to a discount within a specified time period. The systems and methods may then utilize relevant crowd source information to weight the marketplace information and output a weighted probability of sale. | 06-12-2014 |
20140172502 | CONSUMER WALKER REPORTS - A computer system identifies merchandise that has high loyalty at a retailer. The computer system determines a repeatability value of an item in a product category in an inventory at a retailer, wherein the repeatability value indicates how frequently a customer purchases the item out of a plurality of items in the product category. The computer system also determines an exclusivity value of the item, wherein the exclusivity value indicates how frequently the customer purchases the item instead of an alternative item out of the plurality of items in the product category. The computer system further generates a report related to the inventory of the retailer that is at least partially based upon the repeatability value and the exclusivity value of the item. | 06-19-2014 |
20140172503 | TRANSACTIVE CONTROL AND COORDINATION FRAMEWORK AND ASSOCIATED TOOLKIT FUNCTIONS - Disclosed herein are representative embodiments of methods, apparatus, and systems for facilitating operation and control of a resource distribution system (such as a power grid). For example, embodiments of the disclosed technology can be used to improve the resiliency of a power grid and to allow for improved consumption of renewable resources. Further, certain implementations facilitate a degree of decentralized operations not available elsewhere. | 06-19-2014 |
20140172504 | METHODS AND SYSTEMS FOR PROCESSING AND MANAGING COMMUNICATIONS - An online and offline communication processing and tracking using data processing and data/voice networks is described. A phone address from a phone address number pool is automatically assigned to a first entity. A call quality rating is determined and recorded. A call from a caller directed to the phone address is received at a call bridging system coupled to at least one network, wherein the call is associated with call signaling information. Based at least in part on the call quality associated with the caller call, the caller call is assigned to a first location in a call queue. An outbound call is generated from the call bridging system and the inbound and the outbound calls are bridged. One or more parameters of the bridged call are compared to the call quality rating. An indication is recorded regarding the successful bridging of the calls in association with an entity identifier. | 06-19-2014 |
20140180763 | Method and System for Developing and Applying Market Data Scenarios - A computer system may include a record module that receives a market data stream from a market data distribution platform; a replay module that receives user requests to specify changes to the market data stream and creates a market data stream containing a contrived market activity scenario not indicative of actual market activity; a user interface module for communicating user requests to the record module and the replay module to control recording, replay and alteration of the market data to form the market data stream containing the contrived market activity scenario; and the replay module replays and communicates the market data stream containing the contrived market activity scenario to a client application by mimicking semantics of the market data distribution platform so that the client application is unable to distinguish between the replay module and the market data distribution platform. | 06-26-2014 |
20140188558 | SUBSCRIPTION PRICING SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT THEREFOR - A method for subscription pricing may include estimating a number of leads to be provided by an entity to a dealer in a dealer network associated with the entity; estimating a price per lead based at least in part on the estimated number of leads; determining a preliminary subscription price for the dealer based on the estimated number of leads and the estimated price per lead; and applying one or more decision rules imposing one or more constraints to the preliminary subscription price to thereby determine a final subscription price for the dealer. The one or more decision rules may be applied depending upon whether the dealer is a potential subscriber member or an existing member of the dealer network associated with the entity. | 07-03-2014 |
20140188559 | MARKET RESEARCH INTERFACE FOR USE WITH PREDICTION MARKET - Systems and methods having a graphic user interface for market research surveys are provided that allow users to participate in a combined prediction market and market research environment virtually without being presented directly with a stock market environment. The systems and methods of the present invention use prediction markets to automatically transform the user-provided inputs and/or selections from market research surveys, and automatically generate data that represents the likelihood of success of a product and/or service in the marketplace or commercial markets. | 07-03-2014 |
20140188560 | SYSTEM FOR ESTABLISHING HEALTH CARE REIMBURSEMENTS - A third party scoring entity establishes a market-based scoring system which can be used to generate a supply efficiency score to be assigned to a service provider seeking to begin providing a service in a territory. The supply efficiency score is indicative of the need for additional capacity to supply the service. The supply efficiency score is supplied to payers designated by the service provider and the payers will use the score to determine a reimbursement rate for the professional services provided based upon existing market saturation. | 07-03-2014 |
20140195301 | EVENT DEMAND SYSTEM AND METHOD - A system and method for event demand creation and event organization is provided in which an interested party can create a demand for an event at a particular location and then encourage other people to join the demand. Once the demand reaches critical mass, the event provider is notified of the demand and asked to agree to the demanded event. | 07-10-2014 |
20140200958 | SYSTEM AND METHOD FOR CATEGORIZATION OF FACTORS TO PREDICT DEMAND - In an example embodiment, point of sale and other demand data is enriched with data that has a qualitative aspect, such as weather data or data from a social media network (e.g. trending topics, “buzz”, etc). Some embodiments take such data and quantify it to turn the qualitative aspect of the data into a quantitative aspect using a set of rules that may account variability among geographic region, customer perception, and/or various other criteria. The quantified data may then be classified according to a variety of data dimensions and may then be combined to enrich other available data. Predictive models may be created therefrom. Such predictive modeling may then be used to predict demand and/or consumer behavior and can influence marketing campaigns, etc. | 07-17-2014 |
20140200959 | PREDICTING FUTURE PERFORMANCE OF GAMES - One or more games may be developed and then provided to a group of consumers prior to those games becoming publicly available. After the users play the games for a predetermined amount of time, user feedback may be solicited and received. A game score for each game may be generated based on the user feedback and the game score may be utilized to determine whether the games should be modified prior to being publicly released to consumers. Based at least in part on historical data for other games, such as game scores and past sales performance for games that were previously released, the sales performance for the games that have yet to be released may be predicted. Such predictions may be generated based at least in part on one or more predictive models and/or regression analysis. | 07-17-2014 |
20140207519 | System and Method for Identifying Retail Tire Sales - The present invention describes a system and method for evaluating an automotive service center's opportunities for retail tire sales and service, including projecting potential sales and generating other business information for creating a tire service center at an existing repair service center. The present invention may be utilized for service centers which are independent or part of a dealership. The dealership may include both new car sales, used car sales, and a service center. | 07-24-2014 |
20140207520 | DEMAND PREDICTION APPARATUS, DEMAND PREDICTION METHOD, AND DEMAND PREDICTION PROGRAM - A demand prediction apparatus ( | 07-24-2014 |
20140214487 | AGGREGATION OF MEDIA PRODUCT PRODUCTION AND DISTRIBUTION - A method is disclosed for aggregating media product production and distribution responsive to demand fluctuations. The methods uses a communication network to send the one or more aggregations including a quoting deadline to the subset of production entities selected from the production entity network if the current one or more scores are within a pre-established threshold or holding the one or more aggregations until additional quoting requirements are received before the current quoting deadlines have elapsed. The methods also uses the communication network to receive quotes from the subset of production entities selected from the production entity network, using the processor to calculate customer pricing for the production and distribution of customer designated media products from the received quotes, and using the communication network to send the calculated customer prices to the plurality of customers before the quoting deadline has elapsed. | 07-31-2014 |
20140214488 | SYSTEMS AND METHODS FOR SELF-SERVICE RECYCLING OF AUTOMOTIVE PARTS - Systems and methods for self-service recycling are provided. In particular, some embodiments include graphical user interfaces and backend systems that allow users to identify the market for used automotive parts. For example, each car in a self-service automotive recycling (SSAR) facility may be tagged with a bar code or QR code which identifies the vehicle. When the user scans the QR code, a determination is made regarding which parts are currently needed for by register members of the system, recent prices for individual parts, and/or a list of vehicles which can use these parts. This information is presented to the user. Using this information, the user can determine if any of the identified parts remain on the vehicle and may purchase the parts from the SSAR facility for resale. The system then assists the user in creating descriptions for postings on the Internet and/or otherwise connecting the user with potential purchasers. | 07-31-2014 |
20140222507 | Process and System for Integrating Information from Disparate Databases for Purposes of Predicting Consumer Behavior - A process and system for integrating information stored in at least two disparate databases. The stored information includes consumer transactional information. According to the process and system, at least one qualitative variable which is common to each database is identified, and then transformed into one or more quantitative variables. The consumer transactional information in each database is then converted into converted information in terms of the quantitative variables. Thereafter, an integrated database is formed for predicting consumer behavior by combining the converted information from the disparate databases. | 08-07-2014 |
20140222508 | DATA EDITING DEVICE AND PROGRAM - A device for generating a user interface for sales planning includes a data display generation unit configured to generate a graphical user interface (GUI) for an external device, the GUI including a data display area for displaying product sales data for a plurality of items that are included in a selected sales plan, the data display area having a first field that is editable and a second field that displays predicted sales data values which are updated when the first field is edited, a data aggregation unit configured to aggregate product sales data of the plurality of items, and a prediction calculation unit configured to calculate the predicted sales data values and update the predicted sales data values when the first field is edited, based on the product sales data for the plurality of items that have been aggregated in the data aggregation unit. | 08-07-2014 |
20140222509 | DATA EDITING DEVICE AND PROGRAM - A device for generating a user interface for sales planning includes a data display generation unit configured to generate a graphical user interface (GUI) for an external device, the GUI including a data display area for displaying product sales data for a plurality of items that are included in a selected sales plan, the product sales data including predicted sales data values for a first store and one or more additional stores, a data aggregation unit configured to aggregate product sales data of the plurality of items for the first store and the additional stores, and a prediction calculation unit configured to calculate the predicted sales data values for the first store and the additional stores based on the product sales data for the plurality of items that have been aggregated in the data aggregation unit. | 08-07-2014 |
20140222510 | Lighting Infrastructure and Revenue Model - Methods, devices, and systems for implementing lighting infrastructure application frameworks and networks and associated revenue models. In one embodiment, a computing device may receive a request from a first device to access data from a lighting infrastructure application framework, and the data from the lighting infrastructure application framework may include data from lighting node platform(s). In an embodiment, the computing device may perform authorizations related to providing access to data, as well as transmit responses to requests for data. Costs and revenues associated with applications may also be performed based on usage of platforms, sensors, and controllers within a lighting infrastructure. In an embodiment, software, applications, and other instructions may be transmitted by a computing device in response to receiving requests. In another embodiment, a computing device may process received data (e.g., sensor data from lighting node platforms) to detect trends or events relevant to applications. | 08-07-2014 |
20140222511 | MEASURING CUSTOMER INTEREST TO FORECAST PRODUCT CONSUMPTION - Customer activity (especially activity on Internet web sites) is monitored in correspondence to a product or other entity, in order to enable a forecast of future “consumption” of the product or entity. (Consumption may be the sale, rental, use, viewing or interest in the product or other entity.) First, the monitoring method includes gathering activity information that characterizes the activity of the customers with reference to the entity. Then, the gathered activity information is mapped to a psychographic profile that represents a level of interest of the customers as a function of corresponding phases of a consumption cycle. Finally, the mapped activity information as well as control information (which may include product metadata, customer data, product contextual data) are processed to formulate the forecast of future consumption of the entity. The “product” being monitored may be a physical product, an electronic product such as a computer game or downloadable file, an abstract concept, or a group or category of any of these products. Because the customer activity can be measured and analyzed in near real time, product consumption forecasts are quickly delivered; and use of the control information increases the effective intelligence of the mapping and processing processes, rendering more accurate product consumption forecasts. | 08-07-2014 |
20140236674 | PREDICTING WHETHER A PARTY WILL PURCHASE A PRODUCT - A method for predicting whether a party will purchase a product. The method includes accessing data wherein the data is obtained from a plurality of computing environments of a plurality of parties, analyzing the data; and predicting whether one of the plurality of parties will purchase a product based on the analyzed data. | 08-21-2014 |
20140236675 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING PROGRAM, AND RECORDING MEDIUM - A demand for transaction objects is more accurately predicted. An information processing apparatus includes: an acquiring means that acquires a plurality of pieces of reference list information from a storing means that stores, for each user, reference list information indicating transaction objects registered by users in a reference list that stores references to information on transaction objects; and a predicting means that predicts a demand for transaction objects based on the reference list information acquired by the acquiring means. | 08-21-2014 |
20140244354 | METHOD AND A SYSTEM FOR PREDICTING BEHAVIOUR OF PERSONS PERFORMING ONLINE INTERACTIONS - A person performs online interactions with an entity, and one or more interactions are registered as a partial sequence of interactions. The partial sequence is compared to stored sequences and associated final events defining an outcome, of persons who have previously performed interactions with the entity. A final event and/or a probability of a final event of the partial sequence is/are predicted, based on the comparing step. | 08-28-2014 |
20140244355 | Smart Analytics for Forecasting Parts Returns for Reutilization - An approach is provided in which the approach maps first parts included in a first system to second parts included in a second system. The approach then utilizes functioning first parts returns data, which indicates an amount of parts included in the first system that have been returned and are functioning, to forecast an amount of functioning parts corresponding to the second system to be returned. As such, the approach generates a functioning second parts returns forecast based upon the amount of functioning second parts that are forecast to be returned. | 08-28-2014 |
20140244356 | Smart Analytics for Forecasting Parts Returns for Reutilization - An approach is provided in which the approach maps first parts included in a first system to second parts included in a second system. The approach then utilizes functioning first parts returns data, which indicates an amount of parts included in the first system that have been returned and are functioning, to forecast an amount of functioning parts corresponding to the second system to be returned. As such, the approach generates a functioning second parts returns forecast based upon the amount of functioning second parts that are forecast to be returned. | 08-28-2014 |
20140249887 | SYSTEM FOR MONITORING CUSTOMERS WITHIN RETAIL PREMISES - The present disclosure provides a monitoring system for monitoring customers within a retailing premises. The monitoring system includes a data processing arrangement, and a wireless communication network coupled in communication with the data processing arrangement. The customers are provided with corresponding wireless devices. Each wireless device is identified by an associated identification code (ID). The wireless devices communicate with the wireless communication network, and thereby enable the data processing arrangement to monitor and record routes of the customers using these wireless devices within the retailing premises. | 09-04-2014 |
20140249888 | METHOD AND APPARATUS FOR CONDUCTING AN INFORMATION BROKERING SERVICE - A system and method is provided that provides an early indication of consensus of opinion among a number of users regarding an event or observation indicated by a user. Such an opinion may be interesting to an information consumer, who may be interested in determining the outcome of the consensus relating to the event or observation, or may otherwise desire to perform surveillance or survey of a particular issue or subject. Such recognition of early events or observations may be useful where initial observations, if provided early, allow resulting decisions to be made much earlier. The opinion may, for instance, be used as an early indicator of problem with a product, company, etc. that would permit an information consumer to perform an action at a much earlier point than if he/she relied on traditional sources of information. Thus, such opinion information may be invaluable as a tool for monitoring events. | 09-04-2014 |
20140257924 | AUTOMATED RENTAL AMOUNT MODELING AND PREDICTION - Disclosed systems and methods can determine predicted rental income, estimated error of the prediction, and a set of comparable rental real estate properties for use in the valuation of a subject real estate property rental value. In one embodiment, the rent prediction system receives rental information about real-estate properties, determines feature characteristics, trains a rent amount prediction model using the feature characteristics, determines a second set of feature characteristics based on the output of the rent amount prediction model, and trains an error prediction model using the determined second set of feature characteristics. Using the trained models, the systems and method may predict a rental value and prediction error for one or more subject properties. | 09-11-2014 |
20140257925 | DEMAND FORECASTING SYSTEMS AND METHODS UTILIZING UNOBSCURING AND UNCONSTRAINING - A computer based system for unobscuring and/or unconstraining demand is disclosed. Via use of the system, actual airline seat bookings may be restated in an unobscured and/or unconstrained form, facilitating improved demand forecasts for subsequent seat bookings. In this manner, seat protects may be better allocated to align with actual demand, thus increasing revenue. | 09-11-2014 |
20140257926 | SYSTEMS AND METHODS FOR MOBILE POINT-OF-SALE PROCESS MANAGEMENT | 09-11-2014 |
20140257927 | COMPUTER SYSTEM FOR PROCESSING DATA ON RETURNED GOODS - One aspect provides a computer system for processing data on returned products, by receiving returns data on purchased products returned for a refund; and determining predicted return data for a product sold in the future based on the returns data for the product purchased in the past. Another aspect provides a computer system for receiving customer selection data for a product that the customer proposes to one of purchase and refund, the customer selection data including data identifying the customer and the product; accessing returns data using at least one of the data identifying the customer and the data identifying the product, the returns data indicating at least one of a customer's propensity to return products and a propensity of the product to be returned; and generating a customer interface dependent upon on the returns data for one of the proposed purchase and the proposed refund. | 09-11-2014 |
20140257928 | ALLOCATING REGIONAL INVENTORY TO REDUCE OUT-OF-STOCK COSTS - Methods and systems for allocating regional inventory to reduce out-of-stock costs are described. A method may include identifying a total number of units of an item to be stored in a plurality of regions and determining an order forecast for the item in each of the plurality of regions. The method may also include receiving a unit out-of-stock cost of the item in each of the plurality of regions and calculating an expected cost for each of the plurality of regions based, at least in part, on the total number of units of the item, each region's respective order forecast, and each region's respective unit out-of-stock cost. The method may further include allocating a portion of the total number of units of the item to each of the plurality of regions to reduce a sum of the expected costs. | 09-11-2014 |
20140278768 | METHODS, SYSTEMS AND APPARATUS TO SELECT STORE SITES - Methods and apparatus are disclosed to select retail store sites. An example method includes generating a list of first descriptor types associated with a plurality of existing store locations, calculating, with a processor, a set of analog principal components factors (PCFs) for corresponding ones of the plurality of existing store locations, calculating a set of candidate PCFs for corresponding ones of a plurality of candidate locations, calculating respective similarity values based on the PCFs associated with respective pairs of the plurality of existing store locations and the plurality of candidate locations, for corresponding ones of the plurality of candidate locations, calculating a sum of second descriptor types associated with the existing store locations based on the respective similarity value, and predicting the performance of the candidate store locations based on a ratio of a sum of second descriptor types and a sum of the similarity values for the corresponding existing store location. | 09-18-2014 |
20140278769 | METHOD AND SYSTEM FOR PERFORMING TREND ANALYSIS OF THEMES IN SOCIAL DATA - Disclosed is an improved method, system, and computer program product for performing trend analysis of themes from social media data. Semantic analysis is performed on content that appear on social media sites. The results of the semantic analysis can be used to identify themes within the social media data over a period of time. Trend analysis is performed over the identified themes. An enterprise or business can more effectively market to the consumers based upon this knowledge of the consumers' interests. | 09-18-2014 |
20140278770 | GENERATING ECONOMIC MODEL BASED ON BUSINESS TRANSACTION MESSAGES - A computer-implemented method, computerized apparatus and computer program product for generating economic model based on business transaction messages. The method comprising obtaining business transactions from a business collaboration network, wherein each business transaction is a business-to-business transaction; and automatically generating, by a processor, based on the business transactions, an economic simulator capable of simulating economic activity within the business collaboration network, wherein the economic activity is associated with a business transaction that is transmitted via the business collaboration network. | 09-18-2014 |
20140278771 | SYSTEMS, METHODS, AND APPARATUSES FOR RENDERING SCORED OPPORTUNITIES USING A PREDICTIVE QUERY INTERFACE - Disclosed herein are systems and methods for rendering scored opportunities using a predictive query interface including means for receiving input from a user device specifying a dataset of sales data for a customer organization, in which the sales data specifies a plurality of sales opportunities; generating indices from rows and columns of the dataset, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices in a queryable database within the host organization; selecting one or more of the plurality of sales opportunities specified within the sales data; querying the indices for a win or lose predictive result for each of the selected one or more sales opportunities; and displaying the win or lose predictive result for each of the selected one or more sales opportunities to the user device as output. Other related embodiments are further disclosed. | 09-18-2014 |
20140278772 | LIVE BUYER DATABASE CONSTRUCTOR - A system and method for construction of live buyer database which identifies live buyer where the live buyer intends to purchase the targeted service or product within a particular time period, determining a reward for the live buyer based on the information received, pro-viding the reward to the live buyer within the particular time period based on the genuinity of the live buyer. | 09-18-2014 |
20140278773 | SYSTEM AND METHOD FOR EXHIBITING AT LEAST VISUAL CONTENT IN ONE OR MORE PHYSICAL RETAIL STORES - One embodiment of the present invention is directed to a system for exhibiting at least visual content in one or more physical retail stores. Another embodiment of the present invention is directed to a method for exhibiting at least visual content in one or more physical retail stores. Another embodiment of the present invention is directed to a programmed computer for exhibiting at least visual content in one or more physical retail stores. Another embodiment of the present invention is directed to a computer readable medium for exhibiting at least visual content in one or more physical retail stores. In one example, the visual content may comprise advertising and/or operating specifications and/or performance specifications and/or dimensions and/or price displayed on a television, a computer monitor, a laptop computer display, a notebook computer display and/or a netbook computer display. | 09-18-2014 |
20140278774 | IN THE MARKET MODEL SYSTEMS AND METHODS - One embodiment includes a system and method for identifying potential consumer candidates in the market for products or services is disclosed. The system and method may predict whether a consumer is likely to be “in the market” for a product or service can be achieved by utilizing an “in the market” system to determine which groups of consumers will likely respond to solicitation or be in need of a product or service. The system and method may provide data that allows businesses to quickly determine consumer groups that will likely utilize their services or purchase their products. | 09-18-2014 |
20140278775 | METHOD AND SYSTEM FOR DATA CLEANSING TO IMPROVE PRODUCT DEMAND FORECASTING - A method for cleansing product demand data to improve product demand forecasting. The improved data cleansing methodology enhances product weekly demand forecast accuracy by adjusting stock-out week demand values, and employing separate outlier logic for regular and promotional demand periods. | 09-18-2014 |
20140278776 | Methods and systems for a virtual marketplace or exchange for distributed signals - Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources that are controlled by a multiplicity of signal sellers or signal owners. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they wants share signals based upon buyer, price, and other rules, including limitations on signal use. Signal buyers determine signal value based upon their objectives. | 09-18-2014 |
20140278777 | Method and systems for distributed signals for use with advertising - Methods and systems for providing an automated virtualized signal marketplace or exchange for signals from distributed data sources for use in advertising. Systems and methods to automatically discover and recommend which of the signals controlled by multiple entities may be most effective toward a given objective associated with advertising campaigns. Signals are indicators of data that are derived from data sources and abstracted to protect the underlying data. Each entity that sells data in the virtual marketplace first converts data into a “signal” or indicator that represents the data without disclosing it or providing it. Signal sellers determine if they want share signals based upon buyer, price, and other rules, including limitations on signal use; signal buyers determine signal value based upon their objectives. | 09-18-2014 |
20140278778 | METHOD, APPARATUS, AND COMPUTER-READABLE MEDIUM FOR PREDICTING SALES VOLUME - An apparatus, computer-readable medium, and computer-implemented method for predicting sales volume includes receiving historical sales information corresponding to a plurality of stock keeping units (SKUs), the historical sales information including a sales volume, grouping the plurality of SKUs into a plurality of sales tiers, generating a feature vector for each SKU in the plurality of SKUs, generating a statistical model based at least in part on the plurality of SKUs and their corresponding assigned sales tiers and feature vectors, and determining one or more projected sales tiers corresponding to one or more new SKUs based at least in part on the statistical model. | 09-18-2014 |
20140278779 | CHURN PREDICTION AND MANAGEMENT SYSTEM - A system and method for managing churn among the customers of a business is provided. The system and method provide for an analysis of the causes of customer churn and identifies customers who are most likely to churn in the future. Identifying likely churners allows appropriate steps to be taken to prevent customers who are likely to churn from actually churning. The system included a dedicated data mart, a population architecture, a data manipulation module, a data mining tool and an end user access module for accessing results and preparing preconfigured reports. The method includes adopting an appropriate definition of churn, analyzing historical customer to identify significant trends and variables, preparing data for data mining, training a prediction model, verifying the results, deploying the model, defining retention targets, and identifying the most responsive targets. | 09-18-2014 |
20140278780 | ESTIMATION OF UNOBSERVED DEMAND - A non-transitory machine-readable storage device comprising executable instructions that, when executed cause a processor to estimate a dependence vector ( | 09-18-2014 |
20140289003 | METHODS AND SYSTEMS FOR DETECTING ANOMALY IN PASSENGER FLOW - Methods and systems for detecting an anomaly in a passenger flow towards a transport device. Historical data relating to the passenger flow is aggregated and a forecast passenger flow value for a target time frame is determined based upon the historical data. A first forecast is computed based upon the passenger flow in a first set of the time frames directly preceding the target time frame. A second forecast is computed based upon the passenger flow in a second set of the time frames, the second set of time frames having occurred on a same weekday and at a same time as the target time frame, in weeks preceding the target time frame. The first and second forecasts are combined to produce the forecast passenger flow value for the target time frame. | 09-25-2014 |
20140289004 | Near-Term Data Filtering, Smoothing and Load Forecasting - Techniques for near-term data filtering, smoothing and forecasting are described herein. In one example, data is received from supervisory control and data acquisition (SCADA) measurements available in an electrical grid. The data may be filtered according to a two-stage Kalman filter, which may include a ramp rate filter test and a load level filter test. The filtered data may then be smoothed according to an augmented Savitzky-Golay filter. Within the filter, a lift multiplier may correct for bias, which may have been introduced by load changes (e.g., an early morning increase in load). In one example, the lift multiplier may be calculated as a ratio between a smoothed load from a centered Savitzky-Golay moving average and a right hand side constrained Savitzky-Golay moving average. The filtered and smoothed data may be used in forming near-term forecast(s), which may performed by autoregressive model(s). | 09-25-2014 |
20140289005 | Systems and Methods for Use in Marketing - The present invention relates to systems ( | 09-25-2014 |
20140289006 | Method and System For Social Media Sales - A system and method to match product supply with demand by identifying potential customers on social media. The system comprising a database, a social search module, a lead analysis module, a customer engagement module, a transaction module, a blog integration module and an inventory classification module, where the database and the modules are all communicatively coupled to each other. | 09-25-2014 |
20140289007 | SCENARIO BASED CUSTOMER LIFETIME VALUE DETERMINATION - A method and system for determining customer lifetime value (CLV) for a business is described. The method may include receiving, from a user, inputs associated with a plurality of parameters. The plurality of parameters correspond to customer transactions. The method may further include determining, based on the received inputs, a CLV base model applicable for the business. The CLV base model is determined from amongst a plurality of pre-defined CLV base models. Further, the method may include identifying at least one market scenario from amongst a plurality of pre-configured market scenarios for the business. Each of the plurality of pre-configured market scenarios are based on a combination of the plurality of parameters. The method may also include computing a consolidated CLV for the business based on the determined CLV base model and the at least one identified CLV scenario model. | 09-25-2014 |
20140289008 | SELLER INTERFACE FOR DISPLAYING STATUS OF AUCTIONS USING PREDICTIVE INFORMATION - One or more auctions of a seller are monitored. An interface is provided that includes auction event information for each of the one or more auctions of the seller. As an example, the auction event information can include a top bid, and an indication as to whether a reserve price has been met. Predictive information is determined for each of the one or more auctions of the seller. Information is displayed based on the predictive information using the interface. The displayed information can indicate a probability as to whether the auction will be successful. | 09-25-2014 |
20140289009 | METHODS, SYSTEMS AND COMPUTER READABLE MEDIA FOR MAXIMIZING SALES IN A RETAIL ENVIRONMENT - Methods, systems and computer program products for maximizing sales in a retail environment are disclosed. Information is measured regarding drivers of shopper in-store behavior and its underlying drivers of ergonomics, visibility and desirability. Models are fitted and used to optimize sales. Outputs include new merchandising display arrangements, planograms and marketing plans. | 09-25-2014 |
20140289010 | Systems and Methods for Classifying Computer Video Game Genres Utilizing Multi-Dimensional Cloud Chart - Features of electronically embodied games are logically categorized, analyzed, and compared. Features are preferably organized according to a hierarchical classification scheme, according to a classification scheme that is not strictly tautological. All suitable feature sets are contemplated, including sets corresponding to characteristics of personifications of players and non-players, types and/or uses of game space, methods of rewarding a player, etc. In other aspects comparisons are made between an evaluation game and one or more sets of historically available games. Such sets can be grouped by genre and the number of games in such sets can range anywhere from a single game to hundreds of games, or more. Reporting and guidance can include providing a risk assessment score or other risk analysis, feature assessment (prevalence), market placement, business model analysis, dynamic trend analysis, clustered pattern recognition, and image analysis. | 09-25-2014 |
20140289011 | PARI-MUTUEL PREDICTION MARKETS AND THEIR USES - Computer-implemented methods and apparatus for generating prediction markets are described to gauge business uncertainties surrounding a project with an uncertain timeline and/or an uncertain result. Such prediction markets can be used in any industry segment and across business functions, including research and development (R&D), marketing, executive functions and others. Traditional prediction markets, like equity markets, require liquidity for success. By introducing a pari-mutuel prediction input platform, the present invention describes a modified prediction market that elicits more accurate predictions surrounding business decisions. | 09-25-2014 |
20140304034 | PROFITABILITY SIMULATOR - Disclosed are methods and apparatuses for generating sales data reports. One approach is provided for receiving time information, simulation information, and forecast parameters to generate on the fly revenue and profitability reports for past historical data and future forecasts. | 10-09-2014 |
20140304035 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DERIVING COMMONALITIES AMONG DATA ENTRIES - In accordance with embodiments, there are provided mechanisms and methods for deriving commonalities among data entries, These mechanisms and methods for deriving commonalities among data entries can identify characteristics that are known to be common to at least some data entries in addition to unknown characteristics that are common to data entries, The ability to identify common known and unknown characteristics among data entries may allow data entries to be grouped according to the identified common known and unknown characteristics. | 10-09-2014 |
20140310059 | SYSTEM , METHOD AND COMPUTER PROGRAM FORECASTING ENERGY PRICE - A system, method and computer program for forecasting energy price is provided that includes an adaptive hybrid forecasting engine. The adaptive hybrid forecasting engine is operable to generate an energy price forecast based on both a prediction utility and a correction utility. The prediction utility may implement a linear modeling algorithm for predicting energy price based on historical data. The linear modeling algorithm may be a multiplicative seasonal ARIMA (Autoregressive Integrated Moving Average) model, for example, which includes both a regular ARIMA and seasonal ARIMA model. The correction utility may implement an adaptive dynamic correction algorithm that is operable to adapt the energy price forecast based on current or near-current conditions. The adaptive dynamic correction algorithm may be a LL (lazy learning) algorithm. | 10-16-2014 |
20140310060 | Method and System for Indicating Customer Information - The invention relates to a method and system for indicating customer information having a computer; software executing on the computer for assigning each customer of a plurality of customers a unique customer identifier; software executing on the computer for retrieving product identifiers; software executing on the computer for determining a recent product purchase score, a frequency score, a monetary score, for each customer and each product; software executing on the computer for calculating an overall score for each customer based on criteria selected from the group consisting of a recent product purchase score, a frequency score, a monetary score, and combinations thereof; and software executing on the computer for identifying preferred customers based on the overall score. The invention also includes software for recalculating the scores based on new user submitted products and new customer transactions, and software for automatically providing promotions to preferred customers based on the overall scores. | 10-16-2014 |
20140316853 | Determine a Product from Private Information of a User - A user agent of a user obtains private information that is restricted from being disclosed to third parties except the user and the user agent. This private information is analyzed to predict a product that the user desires to purchase. An identity of the user and an identity of the product are provided to a third party without disclosing any of the private information to the third party. | 10-23-2014 |
20140316854 | INTEGRATED PRE-TAIL, E-TAIL AND RETAIL PLATFORM - An online pre-tail, e-tail and re-tailing platform that facilitates various commercial transactions between buyers and sellers is disclosed herein. The platform has ability to display products that are submitted by sellers, validate and generate demands for the products, arrange manufacturing and fulfill orders. The manufacturing of the product is funded at least in part by funds from the preorders received prior to the manufacturing. | 10-23-2014 |
20140316855 | DETERMINING COMMERCIAL SHARE OF WALLET - Commercial size of spending wallet (“SoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“SoW”) is the portion of the spending wallet that is captured by a particular financial company. Commercial SoW is a modeling approach that utilizes various data sources to provide outputs that describe a company's spend capacity. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new account evaluation, and customer management across the lifecycle. Company financial statements are utilized to identify and calculate total business spend of a company that could be transacted using a commercial credit card. A spend-like regression model may then be developed to estimate annual commercial SoSW value for customers and prospects within a credit network. | 10-23-2014 |
20140324532 | SYSTEM AND METHOD FOR MODELING AND FORECASTING CYCLICAL DEMAND SYSTEMS WITH DYNAMIC CONTROLS AND DYNAMIC INCENTIVES - Systems and methods for modeling and forecasting cyclical demand systems in the presence of dynamic control or dynamic incentives. A method for modeling a cyclical demand system comprises obtaining historical data on one or more demand measurements over a plurality of demand cycles, obtaining historical data on incentive signals over the plurality of demand cycles, constructing a model using the obtained historical data on the one or more demand measurements and the incentive signals, wherein constructing the model comprises specifying a state-space model, specifying variance parameters in the model, and estimating unknown variance parameters. | 10-30-2014 |
20140324533 | SYSTEMS AND METHODS FOR PREDICTING REVENUE FOR WEB-BASED CONTENT - Embodiments of the present disclosure help content providers maximize the profitability of the online content they produce by providing an accurate, inexpensive, and timely quantitative estimate of the revenue the content is likely to generate. Various embodiments can refine estimates based on real-time or near-real-time data in conjunction with historical pricing data, thereby further improving the accuracy of the revenue predictions. A computer-implemented method according to one embodiment of the present disclosure comprises receiving, by a computer system, information regarding a topic; identifying, by the computer system, a format for content associated with the topic; and determining a score indicative of predicted revenue generated from future content in the identified format associated with the topic, wherein determining the score is based on a revenue model under which revenue from the future content would be generated. | 10-30-2014 |
20140324534 | SYSTEMS AND METHODS FOR FORECASTING USING CUSTOMER PREFERENCE PROFILES - A computer-implemented method for forecasting characteristics of a target item is disclosed. The method may include determining a forecast function representing characteristics of the target item. The forecast function may include one or more generic functions and one or more customer-specific functions. Each one of the generic functions may be uniform for a plurality of customers within one or more customer groups and may have one or more generic function variables. Each one of the customer-specific functions may be specifically configured for a corresponding customer group and may have one or more customer-specific function variables. The method may also include determining a data value for each one of the generic function variables and the customer-specific function variables by using a genetic algorithm. The method may further include forecasting the characteristics of the target item by using the forecast function and the determined data values. | 10-30-2014 |
20140324535 | POWER INFRASTRUCTURE SIZING AND WORKLOAD MANAGEMENT - According to an example, power infrastructure sizing and workload management of an entity may include receiving power supply and information technology (IT) workload demand input parameter specifications for the entity, and using the power supply and IT workload demand input parameter specifications for a power infrastructure sizing and workload management model for the entity. The power infrastructure sizing and workload management model may be used to generate power supply and IT workload demand output parameter specifications for the entity. | 10-30-2014 |
20140324536 | PREDICTING THE EFFECT OF INCENTIVE PROGRAMS - The present disclosure describes computer hardware, software, systems and methods for evaluating the effect of planned, future or hypothetical incentive programs on a financial arrangement that could be offered to customers such as automobile customers. Computer hardware and modules are disclosed that can store, receive, display, or calculate customer data corresponding to financial terms of current agreements of one or more customers and hypothetical incentive data, store, receive, display, or generate potential customer pools that include customers for which a replacement product and a replacement financial agreement has financial terms substantially similar to financial terms of a current product and current financial agreement, and generate a summary report that includes the customers in the potential customer pool. | 10-30-2014 |
20140324537 | E-Commerce Consumer-Based Behavioral Target Marketing Reports - A system and methods which enable modeling of end consumer interests based on online activity and producing e-commerce reports is described. The method includes scoring and classifying interests and preferences of consumers in relation to various items being offered as function of time and utilizing such scores to predict purchasing activity and revenue yield for n-dimensional combinations of interest for generation of consumer lists for target marketing and merchandising. The method also includes converse modeling of the performance and behavioral profile of items offered as a function of consumer activity. This Abstract is provided for the sole purpose of complying with the rules that allow a reader to quickly ascertain the subject matter of the disclosure contained herein. This Abstract is submitted with the explicit understanding that it will not be used to interpret or to limit the scope or the meaning of the claims. | 10-30-2014 |
20140324538 | METHOD AND APPARATUS FOR DETERMINING CREDIT CHARACTERISTICS OF A CONSUMER - Share of Wallet (“SOW”) is a modeling approach that utilizes various data sources to provide outputs that describe a consumers spending capability, tradeline history including balance transfers, and balance information. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new applicant evaluation, and customer management across the lifecycle. A SOW score focusing on a consumer's spending capability can be used in the same manner as a credit bureau score. | 10-30-2014 |
20140324539 | METHOD AND SYSTEM FOR MINING TOPIC CORE CIRCLE IN SOCIAL NETWORK - Embodiments of the present invention apply to the field of social networks, and provide a method and a system for mining a topic core circle in a social network, where the method includes: creating a social network diagram; selecting a node from the social network diagram as a first node of a core circle, adding a second node that has most connections with the first node to the core circle, adding a third node to the core circle, and performing similar operations until an N | 10-30-2014 |
20140324540 | METHOD AND SYSTEM FOR SELECTING A SYNCHRONOUS OR ASYNCHRONOUS PROCESS TO DETERMINE A FORECAST - In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations. | 10-30-2014 |
20140330617 | Selecting a Synchronous or Asynchronous Process to Determine a Forecast - In accordance with embodiments, there are provided mechanisms and methods for selecting a synchronous or asynchronous process to determine a forecast. These mechanisms and methods for such synchronous/asynchronous process selection can enable embodiments to determine forecasts for multiple users (e.g. with hierarchical relationships, etc.) over an arbitrary time interval. The ability of embodiments to provide forecasts that involve such a large amount of data in an effective way can enable forecasting that was otherwise infeasible due to resource limitations. | 11-06-2014 |
20140337095 | Data Processing System - The present system is a data base and communications system which collects relevant consumer data and provides forecasts and projections to merchandisers and provides focused marketing efforts to merchandisers with at least one object being to foster consumer loyalty. | 11-13-2014 |
20140337096 | PREDICTING BEHAVIOR USING FEATURES DERIVED FROM STATISTICAL INFORMATION - A training system is described herein for generating a prediction model that relies on a feature space with reduced dimensionality. The training system performs this task by producing partitions, each of which corresponds to a subset of aspect values (where each aspect value, in turn, may correspond to one or more attribute values). The training system then produces instances of statistical information associated with the partitions. Each instance of statistical information therefore corresponds to feature information that applies to a plurality of aspect values, rather than a single aspect value. The training system then trains the prediction model based on the feature information. Also described herein is a prediction module that uses the prediction model to make predictions in various online contexts. | 11-13-2014 |
20140344018 | CUSTOMER CENTRIC SYSTEM FOR PREDICTING THE DEMAND FOR LOAN REFINANCING PRODUCTS - Disclosed is a customer centric system for predicting the demand for loan refinancing products. The system typically includes a customer profile database storing a plurality of customer profiles reflecting a plurality of hypothetical shopping customers, a loan refinancing product profile database storing a plurality of competing loan refinancing product profiles reflecting a plurality of hypothetical competing loan refinancing products, and a prediction rules module storing a plurality of rules for determining how each hypothetical shopping customer makes a loan refinancing decision. The system also typically includes a prediction module configured for predicting the demand volume of shopping customers for a loan refinancing product during a predetermined period of time by simulating the loan refinancing decision of each hypothetical shopping customer and predicting the demand volume of non-shopping customers for the loan refinancing product during the predetermined period of time. | 11-20-2014 |
20140344019 | CUSTOMER CENTRIC SYSTEM FOR PREDICTING THE DEMAND FOR PURCHASE LOAN PRODUCTS - Disclosed is a customer centric system for predicting the demand for purchase loan products. The system typically includes a customer profile database storing a plurality of customer profiles reflecting a plurality of hypothetical shopping customers, a purchase loan product profile database storing a plurality of competing purchase loan product profiles reflecting a plurality of hypothetical competing purchase loan products, and a prediction rules module storing a plurality of rules for determining how each hypothetical shopping customer makes a purchase loan decision. The system also typically includes a prediction module configured for predicting the demand volume of shopping customers for a purchase loan product during a predetermined period of time by simulating the purchase loan decision of each hypothetical shopping customer and predicting the demand volume of non-shopping customers for the purchase loan product during the predetermined period of time. | 11-20-2014 |
20140351011 | RETAIL SALES FORECAST SYSTEM WITH PROMOTIONAL CROSS-ITEM EFFECTS PREDICTION - A system that predicts promotional cross item (“PCI”) effects for retail items for a store receives historical sales data for the store and stores the historical sales data in a panel data format. The system then aggregates the stored sales data as a first level of aggregation that is aggregated to the store, a product and a time period. The system further aggregates the first level of aggregation aggregated data as a second level of aggregation that is based on a promotional cross effect attribute (“PCEA”) and is aggregated to the store, the time period and a PCEA level. The system derives PCI effect predictor variables from the second level of aggregation and, for each PCEA within a retail item family, forms a regression model. The system then generates estimated model parameters for one or more PCI effects for each PCEA from the regression models. | 11-27-2014 |
20140351012 | Methods and Systems for Managing Promotional Campaigns Based on Predicted Consumer Behavior - Systems and methods for running a promotional campaign in which publicly available information on social-media websites regarding member preferences and individuals with whom they socialize is computationally analyzed to drive selection of a cohort to whom a promotion will be directed by identifying individuals clustered into groups with shared preferences and habits directly associated with the subject matter of the promotional campaign. | 11-27-2014 |
20140351013 | ANCILLARY SERVICE BID GENERATION SYSTEMS AND METHODS - Ancillary service bid generation systems and methods are described herein. One example of a method for ancillary service bid generation includes quantifying an electric demand for a number of electrical devices, determining an electric demand reduction capability of the number of electrical devices for a number of event scenarios, and preparing an ancillary service bid based on the electric demand reduction capability of the number of electrical devices. | 11-27-2014 |
20140351014 | PROPERTY VALUATION INCLUDING ENERGY USAGE - An apparatus, system, and method for property valuation including energy usage. A method is disclosed that includes predicting energy usage for a property for a period of time, aggregating a predicted energy usage reduction based on a project that decreases the energy usage for the property, and determining a value adjusted for the aggregated energy usage reduction. An apparatus or system perform the method. | 11-27-2014 |
20140351015 | METHODS, SYSTEMS, DEVICES AND ARRANGEMENTS FOR PROVIDING GIFTS - A social gift-giving system is operable with a social networking service such as Facebook. A graphical user interface (GUI) is provided on a display of a computing device. A user logs in to the social networking service. Responsive to selection of a first region of the GUI, the GUI displays a list of other users of the social networking service associated with the first user. These other users may be the first user's Facebook friends. Using the GUI, the user can select a Facebook friend, select a gift for the friend, and purchase the gift for the friend. | 11-27-2014 |
20140358633 | DEMAND TRANSFERENCE FORECASTING SYSTEM - A demand transference forecast system receives for a category of merchandise de-promoted sales data for each of a plurality of stock keeping units (“SKUs”), similarities between each pair of SKUs in the category, and SKU-store ranging information. The system determines a sales indices of all SKUs in the category across the de-promoted sales data for the category. The system determines Total Assortment Effect (“TAE”) variable quantities for the SKUs across share intervals in the de-promoted sales data based on the sales indices and the similarities. The system then generates a single parameter based demand transference model based on the similarities, the sales indices, and ratios of the share intervals. | 12-04-2014 |
20140358634 | METHOD OF GENERATING A PRIORITIZED LISTING OF CUSTOMERS USING A PURCHASE BEHAVIOR PREDICTION SCORE - There is provided a method of generating on a computer a prioritized listing of customers. The method includes establishing a data communications link to a database including financial payment information related to a financial transaction of an existing vehicle of each customer. The method includes retrieving an existing payment amount based upon the financial payment information. The method includes calculating a new payment amount. The method further includes deriving a payment difference score based upon a difference between the existing payment amount and the new payment amount. The method includes determining a behavior factor. The method includes deriving on a computer a behavior score based upon the behavior factor. The method includes determining a purchase behavior prediction score based upon the payment difference score and the behavior score. The method further includes ranking each customer based upon the determined purchase behavior prediction score. The method further includes generating a prioritized listing using the ranking of each customer. | 12-04-2014 |
20140365276 | DATA-DRIVEN INVENTORY AND REVENUE OPTIMIZATION FOR UNCERTAIN DEMAND DRIVEN BY MULTIPLE FACTORS - Based on a time series history of a random variable representing demand for at least one of a good and a service as a function of at least one controllable demand driver, obtain a quantile regression function that estimates a quantile of a demand distribution function; obtain a mixed- and/or super-quantile regression function that estimates conditional value at risk; and obtain a regression function that estimates mean of the demand distribution function. Joint optimization of: inventory of the at least one of a good and a service, and the at least one controllable demand driver, is undertaken based on the quantile regression function and the mixed- and/or super-quantile regression function, to obtain an optimal value for the at least one controllable demand driver and an implied optimal value for a stocking level. One or more exogenous demand drivers can optionally be taken into account. | 12-11-2014 |
20140372172 | METHOD AND COMPUTER SYSTEM TO FORECAST ECONOMIC TIME SERIES OF A REGION AND COMPUTER PROGRAM THEREOF - The method uses a computer device to receive as inputs socio-economic data of a region during a definite time period representing an economic time series that are stored in a first database, comprising: computing, during the same definite time period, the average values of each of a plurality of anonym and aggregated call records generated by individuals using a plurality of base stations of said region obtaining calling variables and computing from said calling variables calling variables' time series representing average temporal usage statistics that are stored in a second database; and building from said economic time series and said computed calling variables time series a model to forecast future values of the economic time series of said region. | 12-18-2014 |
20140372173 | HOME INVESTMENT REPORT CARD - A facility for forecasting the relative change in future value of a distinguished home located in a distinguished geographic area is described. Utilizing a combination of statistical and mathematical models, the facility reports the acquired relative change in future value for the distinguished home in the form of the “Home Investment Report Card” which provides easy to use information on all of the key variables affecting relative change in price through the use of letter grades. The facility then provides the Final Grade, which is the actual estimate for the distinguished home. | 12-18-2014 |
20140372174 | MULTIVARIATE REGRESSION ANALYSIS - There is disclosed apparatuses and methods for performing stepwise regression analysis on industry data. These apparatuses include a processor and memory which comprise circuits and software for performing the instructions on a storage medium comprising accessing a set of data specific to a business environment wherein the set of data comprises a set of values for a set of variables that describe a business environment; receiving a selection of a first variable from the set of variables; generating a correlation table, wherein the correlation table is generated by determining a correlation between the first variable and each remaining variable in the set of variables; and rank-ordering each of the remaining variables in the set of variables based on the correlation; and displaying the correlation table. | 12-18-2014 |
20140372175 | Method and system for detection, classification and prediction of user behavior trends - A method and system for detection, classification and prediction of user behavior trends using correspondence analysis is disclosed. The method and system reduces the n-dimensional feature space to lower dimensional space for easy processing, improved quality of emerging clusters and superior prediction accuracies. Further, the method applies the correspondence analysis so that each user is assigned with a new coordinate in the lower dimension which maintains a similarity, difference and the relationship between the variables. Once the correspondence analysis is completed, clustering or grouping of the coordinates based on the similar trends of the users is performed. Further, unlabeled cluster members are assigned class membership proportional to the labeled samples in the cluster. Finally, the method predicts the future actions of the users based on the past trends that are observed from the labeled clusters. | 12-18-2014 |
20140379422 | INVENTORY PRICING BASED ON PRICE ELASTICITY DEMAND FROM MOVEMENT TRENDS - A method for selectively adjusting a price associated with an inventory stock keeping unit (SKU) is disclosed. Each of the inventory SKUs has associated therewith one or more sales transaction history records and an original price value. A numerical growth rate percentage and a growth trend corresponding to one of one or more classifications are derived for each retrieved inventory SKU. The classifications are based upon the sales transaction history records. Categorical price adjustment percentages for the one or more classifications of growth trends are received. An actual price adjustment percentage is assigned for predefined increments of the numerical growth rate percentages. A revised price value is generated for each of the inventory SKUs. | 12-25-2014 |
20140379423 | Market Price based Raw Material Procurement - In one embodiment, a method determines pricing information for a raw material used in industrial production of a product for a company. The pricing information includes forecasted pricing information for the raw material. Also, the method determines demand and supply information describing a supply of the raw material for the company and a demand for the raw material of how much of the raw material the company plans to use. Then, the forecasted pricing information and the supply of the raw material and the demand for the raw material are analyzed to determine a point in time in which to order the raw material and an amount of the raw material to order at the point in time. The method automatically generates information for a purchase order for the raw material for the point in time in the amount and outputs the information for the purchase order. | 12-25-2014 |
20140379424 | SYSTEMS AND METHODS TO UTILIZE SUBSCRIBER HISTORY FOR PREDICTIVE ANALYTICS AND TARGETING MARKETING - Embodiments of the invention relate to computer-implemented methods and systems for managing and analyzing subscriber history data present within a service provider infrastructure. The subscriber history data is free of personally identifiable information and is aggregated according to an anonymous attribute. A predictive model is used to rank a plurality of individuals or households according to one or more household attributes, such as media habits and/or media exposure. Advertisers are provided with access to the ranked data, such that the advertisers can improve marketing metrics for advertisements delivered to the households. Service providers may receive monetary compensation for providing access to the ranked data. | 12-25-2014 |
20140379425 | UTILITY FOR CREATING HEATMAPS FOR DETERMINING COMPETITIVE ADVANTAGE IN THE RESTAURANT MARKETPLACE - A utility builds and displays heatmaps of competitive activity that aid in studying the competitive advantage of a particular restaurant. The heatmaps are constructed based on activity logged with a restaurant service, and available within the restaurant service's database(s). | 12-25-2014 |
20140379426 | SYSTEM AND METHOD FOR PROVIDING AUTOMATED CLOTHING FASHION RECOMMENDATIONS - A client-server social-network for providing automated clothing suggestions. Fashion interested users form social networks, upload records of their respective wardrobes and fashion preferences, and display their wardrobe items and outfits other members of the network, often displaying entire outfits using customizable virtual mannequins. The social network members can evaluate the fashion merits of both their outfits and their friend's outfits, and the system will further store data pertaining to the social network group's fashion assessments. The system may also make statistical inferences as to what types of clothing may be favored and disfavored by the user's social network group, and present these recommendations to the user. Other factors, such as weather, event type, and user's recent history of wearing various wardrobe items can also be considered. The system can additionally assist in shopping and gift giving, provide fashion related games, spot fashion trends, and provide advanced data for fashion suppliers. | 12-25-2014 |
20140379427 | INTEGRATED INVENTORY MANAGEMENT SYSTEM FOR MEDIA ADVERTISING - A computer-implemented yield management system and method for media advertising are provided. The system includes demand curve data associated with an availability of advertising time slots. The demand curve data is defined by a function P | 12-25-2014 |
20150012333 | System and Method for Context Dependent Streaming Services - What is disclosed is a system to deliver at least one of content and services to a first device based on the first device's context, the system comprising a cloud service coupled to the first device by a network, wherein the cloud service obtains information from the first device over the network; determines context of the first device based on information obtained from the device; assembles a package based on the determined context, said package comprising at least one of content and services; and sends the package to the first device over the network. | 01-08-2015 |
20150012334 | SYSTEMS AND METHODS FOR EVALUATING ALTERNATIVE FINANCIAL PRODUCTS - Systems and methods for evaluating alternative financial products are provided. A first financial product offered by a financial institution may be identified, where one or more customers of the financial institution are eligible for migration from a second financial product to the first financial product. An attrition risk associated with migration of the one or more customers to the first financial product may be determined. If the attrition risk satisfies a threshold, then migration of the one or more customers to the first financial product may be directed. Otherwise, if the attrition risk fails to satisfy the threshold, then one or more characteristics associated with the first financial product may be modified. | 01-08-2015 |
20150012335 | AUTOMATED RENTAL AMOUNT MODELING AND PREDICTION - Disclosed systems and methods can determine predicted rental income, estimated error of the prediction, and a set of comparable rental real estate properties for use in the valuation of a subject real estate property rental value. In one embodiment, the rent prediction system receives rental information about real-estate properties, determines feature characteristics, trains a rent amount prediction model using the feature characteristics, determines a second set of feature characteristics based on the output of the rent amount prediction model, and trains an error prediction model using the determined second set of feature characteristics. Using the trained models, the systems and method may predict a rental value and prediction error for one or more subject properties. | 01-08-2015 |
20150019287 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR PROVIDING MOBILE LOCATION BASED SALES LEAD IDENTIFICATION - A method, apparatus and computer program product are provided for mobile location based sales lead identification. Sales lead information may be provided based on a reference location, such as a sales resource real time location. Additional location information, demand information, competitive information, activity history, follow-up tasks, sales resource ownership information and past promotions relating to a particular sales lead may be additionally provided. The mobile location based sales lead information may allow a sales resource to efficiently manage their time during and in between sales visits, and prepare effective sales pitches to sales leads. | 01-15-2015 |
20150019288 | System and Method to Increase Energy Efficient Behavior Changes, Measure Adoption and Utility Rebate Redemption - The present invention relates generally to a system and method to modulate rebate redemption using prior consumer practices to build action lists to increase rebate redemption rates. The rebate redemption program is embodied in a web-based computer program product for execution on an instruction processing system, made of a tangible storage medium readable by the instruction processing system and storing instructions for execution by the instruction processing system for performing, the method including the steps of filtering a plurality of data responses by program participants to define a plurality of program participating populations and providing each set of program participant populations with a rebate redemption plan and receiving rebate redemption forms, based on an action list provided to each group of program participants, wherein the program participating populations and rebate redemption plans are derived from surveying utility customers and the segmentation and predictive modeling system. | 01-15-2015 |
20150019289 | System and Method for Forecasting Prices of Frequently-Promoted Retail Products - Systems and methods for forecasting prices of products are provided. A method for forecasting prices of products, comprises obtaining a time series history of a price of a product, imputing a state indicator value for each price data from the time series history, wherein a state is one of a promotional price state and a regular price state, extracting a first price time series for the price data in the promotional state and a second price time series for the price data in the regular state, extracting a promotion duration time series from the time series history, obtaining respective point forecasts for the extracted first price time series, the second price time series and the promotion duration time series, and combining the point forecasts for the extracted first and second price time series and the promotion duration time series to obtain a final price forecast. | 01-15-2015 |
20150019290 | SYSTEMS AND METHODS FOR REPRESENTING CONSUMER BEHAVIOR - The disclosed embodiments include systems and methods for representing consumer behavior. In one embodiment, a system may include one or more memory devices storing software instructions, and one or more processors configured to execute the software instructions to receive consumer transaction data associated with financial transactions occurring with a first merchant and financial transactions occurring with a second merchant. The one or more processors may also be configured to calculate a relative influence score between the first and second merchants based at least on the consumer transaction data, and generate a graphical representation of the first and second merchants and the relative influence score. | 01-15-2015 |
20150032505 | INFORMATION PROVIDING METHOD - Provided is an information providing method for generating and providing information, in accordance with: lifestyle information obtained by a lifestyle information obtaining unit receiving, from each of plural devices used by plural users, information on a state of operation of the device; and location information of each user traveled, which is obtained by a location information obtaining unit receiving the location information. | 01-29-2015 |
20150032506 | DEMAND FORECAST SEGMENTATION APPARATUS AND METHOD, APPARATUS AND METHOD FOR ADJUSTING DEMAND FORECAST AND RECORDING MEDIUM RECORDING PROGRAM THEREOF - An apparatus for adjusting a demand forecast received for each sales area by putting top priority on a committed order and putting next priority on a new order using information on a predetermined planned supply. The apparatus includes a demand forecast receiving unit receiving a demand forecast, a supply commit acquisition unit acquiring information on a supply commit, and a demand forecast adjusting unit comparing the received demand forecast with the information on the supply commit and adjusting the demand forecast received from the demand forecast receiving unit. | 01-29-2015 |
20150032507 | AUTOMATED TARGETING OF INFORMATION TO AN APPLICATION VISITOR BASED ON MERCHANT BUSINESS RULES AND ANALYTICS OF BENEFITS GAINED FROM AUTOMATED TARGETING OF INFORMATION TO THE APPLICATION VISITOR - In an example implementation, behavioral data describing past actions including products viewed and purchases made by users while using applications is compiled. The behavioral data is then segmented into clusters of behavior factors according to statistically related actions of the users. Present user data describing a current action of a user while using a merchant application is compiled. A comparative analysis that includes determining a match between the present user data and a cluster from the clusters of behavior factors is performed. A demand function is generated based on the match and the business rules associated with the merchant application. Targeted information is generated based on the comparative analysis. The targeted information includes a discount for the product in the virtual shopping cart. The targeted information including the discount for the product is provided to the user for presentation before the user leaves the merchant application. | 01-29-2015 |
20150039390 | MOBILE MARKETING AND TARGETING USING PURCHASE TRANSACTION DATA - A method for making a targeted offer by a telecommunication entity to an audience is provided. The method involves receiving from the telecommunication entity a first set of information including billing activities attributable to the telecommunication entity and payment activities attributable to the audience, by a financial transaction processing entity; retrieving by the financial transaction processing entity a second set of information including billing activities attributable to the financial transaction processing entity and purchasing and payment activities attributable to the audience; and generating one or more predictive behavioral models based at least in part on the first set and second set of information. The method also involves identifying activities and characteristics attributable to the audience based on the predictive behavioral models, and conveying those to the telecommunication entity. A system for making a targeted offer by a telecommunication entity to an audience is also provided. | 02-05-2015 |
20150039391 | ESTIMATION AND MANAGEMENT OF LOADS IN ELECTRIC VEHICLE NETWORKS - Methods and systems are presented for predicting demand for battery services in an electric vehicle network. The predicted demand may be used for managing the electric vehicle network, for example, by adjusting battery policies in order to provide improved battery services to users of electric vehicles. The battery policies can be adjusted by increasing or decreasing battery charging rates within the electric vehicle network, and recommending alternative battery service locations to users of vehicles who might otherwise choose a congested battery service location. | 02-05-2015 |
20150046217 | Computing Social Influenceability of Products and Social Influencers - A method for identifying influence on user interest for products and ability of users and products to be influenced is disclosed. A processor identifies a degree of influence a number of influencers has over user interest for each of a number of products based on a history of user interest of a number of users for the number of products, wherein each influencer in the number of influencers as one of a user in the number of users and a product in the number of products. The processor also identifies a degree of ability of one or more of the number of users and the number of products to be influenced based on the degree of influence of each of the number of influencers and a number of relationships between the one or more of the number of users and the number of products and the number of influencers. | 02-12-2015 |
20150046218 | TREND-FACTORED RFM SCORES TO IMPROVE CAMPAIGN PERFORMANCE - A computer determines an RFM score for each of a plurality of contacts, each RFM score comprising a recency score, a frequency score and a monetary score respectively based on assigning recency values, frequency values, and monetary values of the plurality of contacts to groups. The computer generates trend factors, wherein the trend factors are based on the monetary values and timestamps of each of a plurality of transactions for each contact of the plurality of contacts. The computer generates a mean trend factor, based on the trend factors generated for each of the plurality of transactions for each contact of the plurality of contacts, and determines, by one or more processors, a trend adjusted RFM (tRFM) score based on applying the mean trend factor to at least one of the recency score, the frequency score, and the monetary score, for each contact of the plurality of contacts. | 02-12-2015 |
20150046219 | AVATAR-BASED AUTOMATED LEAD SCORING SYSTEM - An automated lead scoring system includes a web crawling process configured to collect data from one or more disparate, unaffiliated data sources to obtain information describing attributes of an avatar, the attributes including information descriptive of a prospective customer and actions taken by the prospective customer in response to exposure to a product or service. The system further includes a database communicatively connected to the computing system and configured to receive the information for storage in a database entry associated with the avatar. The system also includes a scoring component assigning a value in the database entry to each of an avatar, attributes of the avatar, and each data source from which the attributes are retrieved, as well as a prediction component configured to compare based on a correspondence between the database entry and known profiles of users of a product or service. | 02-12-2015 |
20150046220 | PREDICTIVE MODEL OF TRAVEL INTENTIONS USING PURCHASE TRANSACTION DATA METHOD AND APPARATUS - A system, method, and computer-readable storage medium configured to predict travel intentions of a payment cardholder based on transaction payment card purchases. | 02-12-2015 |
20150046221 | LOAD FORECASTING FROM INDIVIDUAL CUSTOMER TO SYSTEM LEVEL BASED ON PRICE - The present invention relates to system and method for providing near real-time DR events and price signals to the customer end-points to optimally manage the available DR resources. The system utilizes bottom up load forecasting for accurate individualized forecasts for customer loads in the presence of dynamic pricing signals. For better efficiency and reliability of grid operation the system utilizes advanced machine learning and robust optimization techniques for real-time and “personalized” DR-offer dispatch. | 02-12-2015 |
20150046222 | POWER SUPPLY AND DEMAND ADJUSTING SYSTEM - A power supply and demand adjusting system | 02-12-2015 |
20150046223 | TREND-FACTORED RFM SCORES TO IMPROVE CAMPAIGN PERFORMANCE - A computer determines an RFM score for each of a plurality of contacts, each RFM score comprising a recency score, a frequency score and a monetary score respectively based on assigning recency values, frequency values, and monetary values of the plurality of contacts to groups. The computer generates trend factors, wherein the trend factors are based on the monetary values and timestamps of each of a plurality of transactions for each contact of the plurality of contacts. The computer generates a mean trend factor, based on the trend factors generated for each of the plurality of transactions for each contact of the plurality of contacts, and determines, by one or more processors, a trend adjusted RFM (tRFM) score based on applying the mean trend factor to at least one of the recency score, the frequency score, and the monetary score, for each contact of the plurality of contacts. | 02-12-2015 |
20150046224 | REDUCING FALSE POSITIVES WITH TRANSACTION BEHAVIOR FORECASTING - An artificial intelligence fraud management system comprises a real-time analytics process for analyzing the behavior of a user from the transaction events they generate over a network. An initial population of smart agent profiles is stored in a computer file system and more smart agent profiles are added as required as transaction data is input. Transactions in particular merchant category codes (MCC) are likely to be followed by predictable related transactions. A forecast of those likely future transactions is calculated and used to desensitize corresponding smart agent profile datapoints. Fewer false positives are produced and overall fraud management performance is improved. | 02-12-2015 |
20150051949 | DEMAND-BASED MATCHING SYSTEMS AND METHODS - Certain embodiments disclosed herein provide devices, systems, and methods of using location-based virtual audience feedback to estimate interest in an attraction at one or more venues. Certain embodiments provide devices, systems, and methods of using location-based virtual audience feedback and/or other audience data to estimate interest in a plurality of attractions or other items of interest at a particular venue. Some embodiments relate to matching techniques that use virtual feedback to estimate demand for a match. Examples of matches include a match between an attraction and a venue, a candidate for a government position and a constituency, a player and a sports team, a film and a theater, and a retail good and a shelf location. | 02-19-2015 |
20150051950 | SYSTEM AND METHOD FOR ANALYZING AND PREDICTING CONSUMER BEHAVIOR - Method of analyzing and predicting consumer behavior includes receiving a plurality of consumer answers to a plurality of questions, each answer having a unique consumer identity, each question corresponding to: a lifestyle attitude sector having a plurality segments; a consumer mindset sector having segments; a product preference sector having segments; an influencer sector having segments; and a need state sector having segments. The method further includes assigning a value to each user answer, creating a composite value associating the consumer identity with a particular lifestyle attitude segment, consumer mindset segment, product preference segment, influencer segment, and need state segment, and comparing the composite value with a plurality of product values each associated with a respective plurality of products in a product database. | 02-19-2015 |
20150058077 | REPORTING RESULTS OF AN AB TYPE OF TEST - A first subset of results, from testing a first version of an item versus a second version of the item, is accessed and displayed. The first subset includes first values associated with the first version and second values associated with the second version. The first subset is determined according to settings for parameters associated with the data. A representation of the first values includes a first band having a first width corresponding to confidence intervals for the first values, and a representation of the second values includes a second band having a second width corresponding to confidence intervals for the second values. In response to a change in the settings, a second subset of the results is automatically determined, accessed, and displayed and the first width and the second width of the first and second bands are automatically updated and displayed. | 02-26-2015 |
20150058078 | RULE TO CONSTRAINT TRANSLATOR FOR BUSINESS APPLICATION SYSTEMS - A collection of rules are translated into a mathematical constraint model for a business application to effectively encode the knowledge, apply the model, and suggest results in a highly consistent, highly performant manner. An integrated feedback mechanism enables the system to learn weights and relationships between related rules that may not be obvious to the knowledge workers and to detect the emergence of new factors for adjustments to the model. Constraints that may affect the outcome of the optimization may be considered instead of all constraints allowing the optimizer to run much more quickly. Parallelism may be enabled allowing execution of multiple optimization processes to evaluate multiple scenarios. Furthermore, outcome of the optimizations may be explained back to the user by providing the constraints that were considered. | 02-26-2015 |
20150058079 | DETECTING TRENDS FROM IMAGES UPLOADED TO A SOCIAL NETWORK - A system and method is disclosed for detecting marketable subjects within digital images uploaded to the social network. Software associated with a social network detects a marketable subject in a plurality of images provided to a social stream by a group of users who share a relationship in the social network. A popularity of the marketable subject within the group of users is determined based on the detecting, and a current trend is identified for the group of users based on the popularity and a relevant time period for the images. A vendor related to the marketable subject may be notified that the current trend applies to one or more of the group of users. | 02-26-2015 |
20150058080 | CONTRACT EROSION AND RENEWAL PREDICTION THROUGH SENTIMENT ANALYSIS - A method for predicting contract renewal ahead of contract expiration includes receiving comments and interview transcripts by a sentiment analysis program to generate sentiments, where the comments and interview transcripts are received from a plurality of clients who are contractees to one or more service contracts, combining the sentiments with contract assessment survey scores and historical renewal and growth data for the service contracts to generate a contract renewal and growth prediction model, providing a contract that is up for expiration to the predictive model, and providing the comments, interview transcripts, and risk assessment survey scores to the predictive model, where the predictive model outputs a prediction of renewal and growth for the contract up for expiration, and an analysis of root causes for the predictions. | 02-26-2015 |
20150058081 | Selecting a prior experience similar to a future experience based on similarity of token instances and affective responses - Systems, methods, and/or computer program code for selecting a prior experience a user had, which resembles a future experience that may be intended for the user, are described herein. In some examples, an experience may involve content for consumption by the user, an activity for the user to participate in, or an item to be purchased for the user. The future experience is compared to prior experiences the user had, in order to find a prior experience that has a certain similarity to the future experience. The similarity involves both a similarity of representations of the prior experience and future experience (e.g., as determined from a comparison of token instances that represent them), and a similarity in responses to the prior experience and future experience (e.g., as determined from a comparison between a predicted affective response to the future experience and an affective response to the prior experience). | 02-26-2015 |
20150066592 | METHODS OF SEMICONDUCTOR MANUFACTURING AND SUPPLY CHAIN MANAGEMENT SYSTEMS - In various embodiments, a method of semiconductor manufacturing is provided. The method may include: gathering information impacting production of semiconductor goods via a computer network platform; gathering information from a social networking platform via an interface of the computer network platform to the social networking platform; modelling at least one agent of a manufacturing entity in carrying out its tasks to manufacture semiconductor goods; and determining manufacturing capacity of the manufacturing entity as a function of at least the gathered information impacting the production of semiconductor goods, the gathered information from the social networking platform and the modelled agent. | 03-05-2015 |
20150066593 | DETERMINING A PRECISION FACTOR FOR A CONTENT SELECTION PARAMETER VALUE - Systems and methods for content selection with precision controls include receiving device identifier data from multiple sources. A machine learning model may be applied to the device identifier data and content selection parameter values may be predicted. Percentiles for the predicted content selection parameter values may be analyzed to determine precision factors for the predicted content selection parameter values. | 03-05-2015 |
20150066594 | SYSTEM, METHOD AND COMPUTER ACCESSIBLE MEDIUM FOR DETERMINING ONE OR MORE EFFECTS OF RANKINGS ON CONSUMER BEHAVIOR - Exemplary systems, methods and computer-accessible mediums can be provided which can receive information related to a consumer(s), and determine the search behavior of the consumer(s) based on the information and using a consumer search model that is based on heterogeneous preferences and a search cost model of a second consumer(s). | 03-05-2015 |
20150066595 | METHOD AND APPARATUS FOR A TENANT OPTIMIZED SERVICE CATALOG - Method and Apparatus for rapid scalable unified infrastructure system management platform are disclosed by discovery of compute nodes, network components across data centers, both public and private for a user; assessment of type, capability, VLAN, security, virtualization configuration of the discovered unified infrastructure nodes and components; configuration of nodes and components covering add, delete, modify, scale; and rapid roll out of nodes and components across data centers both public and private. | 03-05-2015 |
20150073865 | DATA VISUALIZATION AND USER INTERFACE FOR MONITORING AND PREDICTION OF DEAL PERFORMANCE - Data visualizations and user interfaces help managers monitor progress in meeting their performance targets and explore hypothetical situations for meeting performance targets. A pending deal visualization is partitioned into first and second portions representing times prior to and following a performance period deadline. Deal icons are arranged in either portion based on their expected deal closing dates. Deal icons may also be positioned based on their probabilities of successful completion. A performance goal visualization includes indicators for the progress towards a performance goal. A user may move deal icons between the first and second portions in the pending deal visualization to explore hypothetical changes in deal closing dates and view the impact on goal progress in the performance goal visualization. Proposed changes to expected deal closing dates may be saved for future reference and/or distributed to other users to act on these changes. | 03-12-2015 |
20150073866 | DATA VISUALIZATION AND USER INTERFACE FOR MONITORING RESOURCE ALLOCATION TO CUSTOMERS - Data visualizations and user interfaces help managers identify promising deals requiring additional attention as well as other deals receiving a disproportionate amount of effort relative to their expected return. A deal forecast visualization positions deal icons at a distance from an origin point based on deal attribute values of associated pending deals. Deal icons may be positioned based on deal attributes including deal activity levels and expected closing dates. Deal attribute values may be retrieved from a CRM application. Visual indicators may provide additional information about pending deals. Deal icons may be scaled, colored, and/or shaded based on one or more attribute values of their respective pending deals. Additionally, the data visualization may be partitioned into circular segments, with each segment enclosing related deal icons and having an angular size based on the aggregate value of an attribute of the enclosed deal icons. | 03-12-2015 |
20150073867 | Systems and Methods for Predicting User Lifetime Value Using Cohorts - Systems and methods for predicting user lifetime value in accordance with embodiments of the invention are disclosed. In one embodiment, a lifetime value prediction server system includes a processor, and a memory configured to store a lifetime value prediction application, wherein the lifetime value prediction application directs the processor to obtain a set of user interaction data, group the set of user interaction data into cohorts, where the user interaction data within a cohort occurs on a particular day, calculate a set of known spending values based on the cohorts, determine a set of predicted spending values based on the set of known spending values, determine a set of predicted spending confidence values based on the set of known spending values, and calculate a set of predicted lifetime value data based on the set of predicted spending values and the set of predicted spending confidence values. | 03-12-2015 |
20150073868 | USE OF STORED SEARCH RESULTS BY A TRAVEL SEARCH SYSTEM - A method and apparatus are provided for a dynamic information connection search engine. User actions may be detected on at least one client system. In response, a determination may be made whether the user is searching for supported information. When the user is searching for supported information, information may be extracted electronically from, for example, third party websites, direct supplier connections, and/or intermediate databases. Potential suppliers may be automatically selected in response to the detected user search. Queries may be formulated from the user search and transferred to one or more selected suppliers over a network coupling (e.g., the Internet and/or an intranet). The queries may include one or more requests for information. One or more responses may be received from the suppliers, and the responses may be used to generate a result list for the user. The result list may include information and/or query status information. Further, an electronic link may be provided to a website of one or more of the supplies from which the information was derived. | 03-12-2015 |
20150081383 | GENERATING MULTIPLY CONSTRAINED GLOBALLY OPTIMIZED REQUESTS SUBJECT TO STATE OF ENVIRONMENT FOR PROPOSAL PACKAGES - A method, system and computer program product for determining an optimized set of sales events for a company. The method including the steps of determining a sales event is in an area supported by the company; extracting sales event parameters regarding the sales event; extracting data regarding a state of an environment surrounding a party offering the sales event; determining a probability of the extracted data regarding a state of the environment surrounding the party and assigning weights to the extracted data will affect the awarding of the sales event to the company; and based on the determined probabilities, mapping the sales event parameters to industry solution ontology based on the probabilities of extracted data of the state of the environment surrounding the party that will affect the sales event from being awarded to the company by the party. | 03-19-2015 |
20150081384 | DETERMINING LIKELIHOOD OF AN INDIVIDUAL CONSUMER ENROLLING IN A BEHAVIOR-BASED ENERGY EFFICIENCY PROGRAM - Described herein are various examples of techniques that may be implemented in some embodiments to determine a score indicative of a likelihood of a consumer enrolling in a behavior-based energy efficiency program. The score may be determined based at least in part on prior energy consumption of the consumer. The prior energy consumption of the consumer may be compared to characteristics of energy consumption that were previously determined to be associated with consumers who previously enrolled in an energy efficiency program and consumers who did not previously enroll. Based on the comparison, a score may be determined that the consumer will or will not enroll, or scores of the consumer enrolling and not enrolling may be determined. Based on the score(s), a prediction may be made of whether the consumer will enroll in an energy efficiency program. | 03-19-2015 |
20150088606 | Computer Implemented Tool and Method for Automating the Forecasting Process - A tool and method for automating the process of forecasting are disclosed. The tool includes a data collector for collecting data from a plurality of sources. An extractor extracts, from the collected data, the predictor data streams and elements to be used for forecasting. The predictor data streams and elements are analyzed for completeness and their corresponding characteristics are determined. Further, the predictor data streams and elements are arranged into multiple sets such that each set has a common data pattern. A plurality of forecasting models and the corresponding unique properties and a unique master list of their forecasting parameters, are stored in a second repository. The unique properties are compared with the properties of each of the forecasting models, and a set of forecasting models suitable for performing a forecast are identified and ranked. The most appropriate forecasting model is selected and provided to the forecasting engine, for forecasting. | 03-26-2015 |
20150088607 | Tracking Offers Across Multiple Channels - Provided is a process, including: obtaining a coupon issued by a merchant, the coupon being redeemable both on-line, at the merchant's website, and in-store, at a physical location of the merchant; sending the coupon to publishers for presentation to consumers by the publishers on user devices of the consumers; and receiving indications from the user devices of the consumers that the consumers interacted with the coupon, the indications indicating a consumer selection of an in-store redemption option or an on-line redemption option. | 03-26-2015 |
20150095111 | METHOD AND SYSTEM FOR USING SOCIAL MEDIA FOR PREDICTIVE ANALYTICS IN AVAILABLE-TO-PROMISE SYSTEMS - A method and system are provided in which a computing device comprising an available-to-promise system of a merchant or business collects information content from at least one social networking website. The computing device may analyze the collected information content to extract data items that identify a product or service. Based on a result of the analysis, a composite score of predicted demand for the product or service may be generated by the computing device. The score may be used in the ATP system for generating a demand forecast used by the merchant or business in purchasing or allocating the product or service. | 04-02-2015 |
20150100378 | SUPPLY CHAIN MANAGEMENT METHOD AND SYSTEM - A computer-implemented method for managing a supply chain including a central distribution center (DC) that distributes products to one or more edge DCs. The method may include determining, by one or more processors, a first rate of change of future demand for a product distributed by the edge DC over a predetermined future time horizon, and a second rate of change of historical demand for the product distributed by the edge DC over a historical time period. The method may also include updating flow of customer orders and storage space requirements for the central DC and the edge DC based on a difference between the first rate and the second rate. | 04-09-2015 |
20150100379 | GENERATING A SUCCINCT APPROXIMATE REPRESENTATION OF A TIME SERIES - Embodiments of the present invention provide a system, method and computer program product for generating a succinct approximate representation of a time series. A method comprises determining at least one peak data value and at least one trough data value of an input series comprising a sequence of data values over time. The input series is partitioned into multiple segments comprising at least one rising segment that rises to a peak data value and at least one falling segment that falls to a trough data value. A sequence of segments that rise and fall alternately is generated based on the segments. A sequence of totals representing a succinct approximate representation of the input series is generated. Each total comprises a sum of data values for a corresponding segment of the sequence of segments. | 04-09-2015 |
20150100380 | SYSTEMS AND METHODS FOR PROVIDING FINANCIAL CONTROLS FOR AGGREGATED WEATHER-BASED WORK - Systems, methods, non-transitory computer-readable media storing computer program instructions for causing a computer device to implement methods, and the like utilize weather information from one or a variety of locations to estimate costs for providing weather-dependent work, and to provide financial controls for weather-dependent work allegedly performed. One method includes utilizing historical weather information relating to performance of weather-dependent work at a work location to generate an estimate of an anticipated frequency with which weather-dependent work will be necessary, utilizing information to estimate an anticipated cost per incident for performing weather-dependent work at the selected work location, and using such information at a plurality of locations to generate an aggregate bid for performing weather-dependent work at the locations. Weather information is also used to audit weather-dependent work allegedly performed at the work locations to provide financial controls to the aggregated weather-dependent work in compliance with law and regulation. | 04-09-2015 |
20150106161 | RETAIL SALES FORECASTING WITH OVERLAPPING PROMOTIONS EFFECTS - A system that generates a sales forecast for an item receives sales history for prior sales periods that include active promotion events that are active during each sales period. The system determines one or more types of overlapping promotions during the sales periods. For each type of overlapping promotion, the system creates an overlapping promotion event that replaces the corresponding active promotion events. The system generates a set of promotion events including the overlapping promotion events and the active promotion events that were not replaced. The system then generates a lift for each of the promotion events in the set of promotion events. | 04-16-2015 |
20150112762 | OPTIMIZATION OF PRODUCT ASSORTMENTS - A system analyzes past sales data to identify those product assortments that may lead to the largest sales volume for the product category. The system estimates an incremental sales volume increase associated with each of one or more product assortments. The system may further identify which assortment will result in the largest sales volume for the product category, and may generate a ranking of the one or more assortments based on their associated incremental sales volume increase. | 04-23-2015 |
20150112763 | REAL TIME ENERGY CONSUMPTION MANAGEMENT OF APPLIANCES, DEVICES, AND EQUIPMENT USED IN HIGH-TOUCH AND ON-DEMAND SERVICES AND OPERATIONS - An embodiment models and predicts energy consumption and provides recurring and realistic opportunities to reduce energy consumption throughout the work day or process cycle using user interfaces to convey positive and negative feedback in a controlled manner; and user experiences that reward positive changes with increased positive feedback and reduced negative feedback. Energy consumption of categories of appliances, devices, and equipment is considered a random variable. Using archived energy data, business data, and other related data, statistical modeling is used to create inverse cumulative probability distribution functions. An energy budget (consumption prediction) is computed so that it meets a probability p of the budget being exceeded during a given interval. When the budget is exceeded the feedback is negative, otherwise feedback is positive. Each budget is computed as the value b of the random variable such that the probability that the random variable will be less than or equal to b is 1−p. | 04-23-2015 |
20150112764 | Automated Evaluation of Transaction Plays - In one embodiment, a computer-implemented method comprises generating, using a computer, recommendations of a first group of products of a plurality of products based on past transactions between a plurality of persons and a plurality of entities for the plurality of products, relationships between the persons, relationships between the entities, and relationships between the persons and the entities; generating, using the computer, a score for each recommendation of the plurality of recommendations; and generating, using the computer, a first success indicator of a first selected recommendation based on the score associated with the first selected recommendation. | 04-23-2015 |
20150112765 | SYSTEMS AND METHODS FOR DETERMINING RECRUITING INTENT - Techniques for identifying members of a social network service that exhibit recruiting intent are described. According to various embodiments, a set of members of an online social network service that self-identify as recruiters may be identified. The set of members that self-identify as recruiters may then be clustered into a group of engaged recruiters and a second group of non-engaged recruiters, and the group of engaged recruiters may be categorized as members exhibiting recruiting intent. Behavioral log data associated with the members exhibiting recruiting intent may then be accessed and classified as recruiting intent signature data. Thereafter, prediction modeling may be performed based on the recruiting intent signature data and a prediction model, to identify members of the online social network service that are associated with behavioral log data matching the recruiting intent signature data. | 04-23-2015 |
20150120381 | RETAIL SALES OVERLAPPING PROMOTIONS FORECASTING USING AN OPTIMIZED P-NORM - A system that generates a sales forecast for an item receives the sales history for prior sales periods that includes at least one stand-alone time period when a single promotion event is active, and at least one overlapping time period when two or more promotion events are active and overlapping. For each stand-alone time period, the system determines a stand-alone lift for each promotion event active during the stand-alone time periods. For each overlapping time period, the system determines a combined overlap lift of promotion events that are overlapping using a p-norm. | 04-30-2015 |
20150120382 | OPTIMIZING A BUSINESS PERFORMANCE FORECAST - Optimizing a business performance forecast includes: projecting, based on a projection algorithm, a performance forecast for a period of time, the projection algorithm including inputs having a weight and the projection algorithm associated with a confidence score; capturing results of actual performance for the period of time; comparing the results to the performance forecast, including determining whether the difference between the results and the forecast is less than a threshold; if the difference is less than the threshold, increasing the confidence score associated with the projection algorithm; if the difference is not less than the threshold: iteratively, until a difference between the results and a new forecast is less than the threshold: modifying the projection algorithm; projecting a new forecast based on the modified projection algorithm; and determining whether the difference between the results of actual performance and the new forecast is less than the predetermined threshold. | 04-30-2015 |
20150120383 | OPTIMIZING A BUSINESS PERFORMANCE FORECAST - Optimizing a business performance forecast includes: projecting, based on a projection algorithm, a performance forecast for a period of time, the projection algorithm including inputs having a weight and the projection algorithm associated with a confidence score; capturing results of actual performance for the period of time; comparing the results to the performance forecast, including determining whether the difference between the results and the forecast is less than a threshold; if the difference is less than the threshold, increasing the confidence score associated with the projection algorithm; if the difference is not less than the threshold: iteratively, until a difference between the results and a new forecast is less than the threshold: modifying the projection algorithm; projecting a new forecast based on the modified projection algorithm; and determining whether the difference between the results of actual performance and the new forecast is less than the predetermined threshold. | 04-30-2015 |
20150120384 | SYSTEMS AND METHODS FOR CREDIT CARD DEMAND FORECASTING USING REGIONAL PURCHASE BEHAVIOR - A computer-implemented method and system for forecasting a demand for a credit-based payment card implemented using a demand forecasting computer device coupled to a memory device. The method includes retrieving financial transaction data for a plurality of payment card cardholders acquired by the demand forecasting computer device and stored in the memory device, determining variables in the financial transaction data that predict the demand for a credit-based payment card using an independent variables generation engine, integrating the retrieved financial transaction data, economic data received from sources external to the demand forecasting computer device, and data relating to new payment card cardholders based on the determined variables, generating a prediction of the demand for credit in a selectable geographic area using a cross-sectional model of the integrated data and the determined variables, and outputting the prediction. | 04-30-2015 |
20150120385 | Systems and Methods for Weather-Based Estimation, Auditing, and Exception Reporting - Weather information from one or a variety of locations is used to estimate costs for providing weather-dependent work, to audit weather-dependent work allegedly performed, and to improve billing and provide exception reporting for unbilled weather-dependent work such as snow removal and landscaping. A variety of stand-alone and networked computer systems, sensors, weather information sources, and historical data are used to provide such functions. To estimate costs to perform weather-dependent work at a first location, a weather information source providing weather information relating to a second location estimated to have weather similar to weather occurring at the first location is located, and a correlation is made between the weather information and a history of weather-dependent work at the first location to generate an estimated need for future weather-dependent work at the first location. Current weather information is used to perform auditing of invoiced work and to perform exception reporting. | 04-30-2015 |
20150120386 | SYSTEM AND METHOD FOR IDENTIFYING PURCHASE INTENT - A system comprising a computer-readable storage medium storing at least one program, and a computer-implemented method for determining and scoring purchase intent of users, are described herein. Consistent with some embodiments, the method may include obtaining social data of a plurality of users from one or more social network services. The social data is analyzed to identify users with intent to purchase products. The identified users may then be scored according to the level of intent of each user to purchase the products. The method may further include communicating a message to a merchant to notify the merchant of the intent of the identified users to purchase the products. | 04-30-2015 |
20150120387 | Systems and Methods for Demand-Based Marketplaces - Systems and methods for demand-based marketplaces in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a demand-based marketplace server system includes a processor and a memory storing a demand-based marketplace application, wherein the demand-based marketplace application directs the processor to obtain product demand data, wherein the product demand data includes product keywords describing one or more products, identify product data corresponding to the product demand data, generate lead data based on the product demand data, wherein the lead data is targeted toward one or more seller systems associated with the identified product data, and transmit the lead data to the one or more seller systems. | 04-30-2015 |
20150127424 | SYSTEM AND METHOD FOR LINKING PANEL AND MEMBERSHIP DATA - A system is provided that allows for retail behavioral insights to be gained by linking research responses with transactional behavioral data. In one implementation, a method is provided to allow linking between customer research panel data with data collected by membership systems for particular users. For instance, behavioral data of a membership club account may be linked to a user's participation in a research panel. Such information may be useful for analyzing the user/consumer and predicting the behavior of the consumer and similar other consumers. | 05-07-2015 |
20150127425 | STRATEGIC MODELING FOR ECONOMIC OPTIMIZATION OF GRID-TIED ENERGY ASSETS - One embodiment of the present invention provides an energy-asset control system for utilizing an energy asset to provide one of more modes of operation services. The system includes an economic optimizer configured to identify at least one mode of operation opportunity based on current and/or future market conditions; a prognostics module configured to perform a prognostic analysis associated with the mode of operation opportunity for the energy asset using an existing model, and determine a confidence level associated with the prognostic analysis; and an operation controller. The economic optimizer is further to configured to, in response to the prognostics module determining the confidence level exceeding a predetermined threshold, determine an expected profit of the mode of operation opportunity based on outcomes of the prognostic analysis; and optimize, over a predetermined time period, a usage of the energy asset based on the expected profit of the mode of operation opportunity. | 05-07-2015 |
20150134410 | PREDICTING ECONOMIC CONDITIONS - Computer-implemented methods for identifying or assessing any type of risk and/or opportunity that may arise can include either, alone or in combination, band pass filtering, principal component analysis, random matrix theory analysis, synchronization analysis, and early-warning detection. Each technique can also be viewed as a process that takes a set of inputs and converts it to a set of outputs. These outputs can be used as inputs for a subsequent process or the outputs may be directly actionable for formulating certain economic predictions to make certain decisions. | 05-14-2015 |
20150134411 | PREDICTING ECONOMIC CONDITIONS - Computer-implemented methods for identifying or assessing any type of risk and/or opportunity that may arise can include either, alone or in combination, band pass filtering, principal component analysis, random matrix theory analysis, synchronization analysis, and early-warning detection. Each technique can also be viewed as a process that takes a set of inputs and converts it to a set of outputs. These outputs can be used as inputs for a subsequent process or the outputs may be directly actionable for formulating certain economic predictions to make certain decisions. | 05-14-2015 |
20150134412 | TOOLS AND METHODS FOR DIFFERENTIATING CHILD-LIKING SCORES IN PRODUCT TESTING ENVIRONMENTS - The present disclosure provides tools and methods for improving differentiation in child-liking scores in a product testing environment and/or to improve development of products for child consumers. In an embodiment, tools for differentiating market research scores are provided and include a product rating scale having a plurality of successive scale points and a verbal anchor corresponding to each scale point, and a behavioral list with a plurality of product acceptance behaviors. Methods for differentiating market research scores are also provided and include instructing a consumer to evaluate a product according to a product rating scale, instructing the consumer to evaluate a product according to a behavioral list, and applying, using a digital computer, a multivariate analysis of variance to the product rating scale information and the behavioral information. | 05-14-2015 |
20150134413 | FORECASTING FOR RETAIL CUSTOMERS - A method and system for retail forecasting includes accessing, from a database, retail data for past purchases of a customer at a retail entity and contextual data and generating, using a processor on a computer, at least one purchase forecasting model for a specific product for the customer. | 05-14-2015 |
20150142513 | JUST-IN-TIME GUARANTEED ADVERTISEMENT SUPPLY FORECASTING SYSTEM AND METHOD - A just-in-time advertisement supply forecasting system includes a query engine configured to receive an advertiser query specifying an advertising contract time period of a contract, an historical database having stored therein time series data for a plurality of base profiles, each time series representing previously stored samples corresponding to daily impression counts over a predetermined period of time, and a forecasting engine operatively coupled to the query engine and to the historical database, and configured to generate an impression inventory forecast to satisfy the advertiser query, where the impression inventory forecast is generated in real-time based on the time series, upon receipt of the advertising query. | 05-21-2015 |
20150142514 | SYSTEM AND METHOD FOR PAYMENT TRANSACTION RECEIPT MANAGEMENT - There is provided a system and a method for payment transaction receipt management. The system and method include an electronic storage device having one or more databases of payment transaction receipt data stored therein; an access path for allowing access to the payment transaction receipt data; and a processor for assembling the payment transaction receipt data in the one or more databases and providing the assembled payment transaction receipt data to one or more entities that have been granted access to the one or more databases. The receipt management system and method are based on payment transaction receipt data across a plurality of merchants. This cross merchant approach provides customers with an efficient solution for managing all of their receipts. This cross merchant approach allows merchants to offer better and more targeted recommendations for customers which in turn can boost sales and customer satisfaction. | 05-21-2015 |
20150142515 | METHODS, SYSTEMS AND COMPUTER READABLE MEDIA FOR DETERMINING A RELATIONAL STRENGTH INDEX ASSOCIATED WITH A PLURALITY OF MERCHANT ENTITIES - Methods, systems, and computer readable media for determining a relational strength index between merchant entities are disclosed. In one example, the method includes applying at least one data filter to stored customer transaction data to produce relevant customer transaction data associated with a first merchant entity. The method also includes processing the relevant customer transaction data to determine a set of customers that conducted purchase transactions at both the first merchant entity and a second merchant entity and utilizing the set of customers to determine a relational strength index that represents a strength of a transactional affinity between the first merchant entity and the second merchant entity. | 05-21-2015 |
20150142516 | ALLOCATION FOR RETAIL ITEMS - Systems, methods, and other embodiments associated with allocation of retail goods based on a size profile and/or a selected strategy are described. In one embodiment, a method includes receiving a demand quantity for an item sold in multiple SKUs and accessing a size profile that specifies a relative contribution of a plurality of SKUs to overall sales of the items. Respective SKU demand contributions are determined for respective SKUs, based on the size profile. The method includes applying the respective SKU demand contributions to the demand quantity to calculate a plurality of SKU demands. In one embodiment, the method includes determining a selected substitution strategy. The items are allocated to fulfill the demand quantity for the item based on the plurality of SKU demands and the selected strategy. | 05-21-2015 |
20150142517 | DOOR TO DOOR SALES MANAGEMENT TOOL - A door to door sales management tool utilizes a mobile device configured to request data from a database regarding a neighborhood within proximity of that sale. The mobile device sends results back to the database, wherein the results are flagged as verified. A simplified prequalification system is shown where a salesperson may select a house on a map to run a prequalification on the residents expected occupants of the selected house. | 05-21-2015 |
20150142518 | SYSTEM FOR MAKING AVAILABLE FOR HIRE VEHICLES FROM A FLEET AGGREGATED FROM A PLURALITY OF VEHICLE FLEETS - The system developed intends to provide car-sharing operators with a management system for their operations that is at the same time highly functional but very flexible and easy to use. At the same time, such software is used by the requesting company for the management, control and optimization of the resulting network of providers. Such network arises from using this software to have multiple operators allowing roaming of their clients and assets thus creating a seamless network of vehicles to be used by all clients irrespective of which operator they have contracted the service. | 05-21-2015 |
20150149245 | METHOD AND APPARATUS FOR DETERMINING PRESENCE - A system that incorporates teachings of the present disclosure may include, for example, determining a first linear model and a first log-linear model according to first explanatory variables and a first plurality of occupancy estimates, determining a second linear model and a second log-linear model according to second explanatory variables and a second plurality of occupancy estimates, evaluating, according to a location of a building, the first linear model, the first log-linear model, the second linear model, and the second log-linear model according to first values of the first explanatory variables and second values of the second explanatory variables, and combining results from the evaluating to generate a mixed occupancy estimate. Other embodiments are disclosed. | 05-28-2015 |
20150149246 | PROJECTED MAINTENANCE REVENUE FOR FUTURE TIME PERIODS - A computing device receives a first user input requesting an estimated revenue for a projected time period. The computing device receives a second user input. The computing device determines an expected revenue for the projected time period from new maintenance contracts and renewed maintenance contracts and an expected revenue for the projected time period from warranty upgrades on units based on at least the current number of installed units as of the base time period, the expected number of unit installations for the projected time period, the attrition rate and the warranty option upgrade rate. The computing device determines a total expected revenue for the projected time period based on at least the computing device determining the expected revenue for the projected time period from new maintenance contracts and renewed maintenance contracts and the expected revenue for the projected time period from warranty upgrades on installed units. | 05-28-2015 |
20150149247 | SYSTEM AND METHOD USING MULTI-DIMENSIONAL RATING TO DETERMINE AN ENTITY'S FUTURE COMMERCICAL VIABILITY - A method and system for determining an entity's future commercial viability which comprises: (a) using a first predictive modeling, determining a future commercial viability of the entity, the first predictive modeling is derived by identifying patterns in data and relating to predictive attributes, thereby generating a viability score; (b) using predictive modeling to generate a relative ranking of the entity against its peer group, thereby generating a comparative viability score (i.e., portfolio comparison); (c) measuring data depth to quantify how much is known about the entity and, thus, how much confidence we have in the viability score and comparative viability score, thereby generating a data depth indicator; (d) assigning a company profile by segmentation to define and group the entity with other similar entities in terms of size, years in business, availability of complete financial statement and commercial trade history; and (e) outputting a multi-dimensional viability rating comprising the viability score, comparative viability score, data depth indicator, and company profile. | 05-28-2015 |
20150149248 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device which selects a set of items to be recommended for a user out of a set of items. The information processing device includes: (a) a selection unit which: (i) calculates priority which is high in the case of a high score of an item itself and low in the case of a high degree of similarity to another selected item with respect to each of the plurality of items, and (ii) selects a set of items out of the plurality of items on the basis of the priority; and (ii) an output unit which outputs each item included in the selected set of items as an item to be presented to the user. | 05-28-2015 |
20150149249 | METHODS AND SYSTEMS FOR ENERGY ARBITRAGE - A system and method are provided for performing energy arbitrage among different pre-defined regions. The system includes a plurality of power management devices within the different pre-defined regions to obtain power consumption data from corresponding customer facilities. An arbitrage server communicates with the plurality of power management devices and aggregates the power consumption data for the plurality of power management devices to determine a total power consumed within a same pre-defined region and obtains energy supply data to determine a total power supplied to the same pre-defined region. The arbitrage server further compares the total power consumed and the total power supplied within the same pre-defined region and performs one of offering to sell energy to a different pre-defined region when the total power supplied exceeds the total power consumed or offering to purchase energy from the different pre-defined region when the total power consumed exceeds the total power supplied. | 05-28-2015 |
20150149250 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT TO ASCERTAIN SUPPLY AND DEMAND ANALYTICS AND OUTPUTTING EVENTS BASED ON REAL-TIME DATA FOR PROXIMITY AND MOVEMENT OF INDIVIDUALS AND OBJECTS - A method, apparatus and computer program product are provided herein for ascertaining supply and demand analytics and outputting event. An example method comprises receiving blink data comprising at least a tag unique identifier from a tag, calculating, using a processor, tag location data, wherein the tag location data is based on the blink data, and correlating the tag location data to provider location data. | 05-28-2015 |
20150294328 | Customer Relationship Prediction and Valuation - According to one embodiment of the present invention, a system stores a plurality of matrices. The system determines each relationship between a customer and an enterprise, wherein the enterprise comprises a plurality of customers having at least one relationship with the enterprise. The system generates a relationship flow matrix that includes customer relationship transitions with the enterprise during a first time period. The system calculates a probability of a change in the customer relationship with the enterprise according to a plurality of snapshots of the relationship flow matrices. The system generates a transition probability matrix based on the probability of the change in the customer relationship occurring. The system determines a current number of customers in each relationship with the enterprise. The system generates a current distribution matrix based on the current number of customers in each relationship with the enterprise. The system applies the transition probability matrix to the current distribution matrix. The system generates a future relationship matrix based on the application of the transition probability matrix to the current distribution matrix. The system applies the future relationship matrix to determine customer relationship value associated with the enterprise. | 10-15-2015 |
20150294329 | SYSTEM AND METHOD OF PREDICTING USAGE OF A CHARGING STATION - A system and method of predicting usage of a charging station includes collecting charging activity history of a plurality of charging stations. A charging station is determined associated with a requesting electric vehicle. A future demand for the charging station is predicted based on the collected charging activity history. A predicted usage value of the charging station is provided based on the predicted future demand for an estimated time of arrival of the requesting electric vehicle at the charging station. | 10-15-2015 |
20150294330 | MARKET FORECASTING - An aspect of market forecasting is implemented by a memory and a computer processor communicatively coupled to the memory. The computer processor gathers, for a plurality of forecast years, data from a plurality of compartmentalized data sources. The computer processor determines, from the data, production forecast year, product unit price, and forecast amount for each product subject to the market forecasting. The computer processor also stores the data in corresponding data fields in a record in the memory, iterates through records in the memory that include the record to identify missing data in the data fields, calculates estimated values of the missing data as a function of contextual data in the record, and stores the estimated values in corresponding data fields in the record. | 10-15-2015 |
20150294331 | PEER-TO-PEER DATA COLLECTOR AND ANALYZER - A system for collecting and analyzing metadata from peer-to-peer (P2P) media networks. The present invention gathers metadata about P2P media from the P2P network directly as well as relevant 3 | 10-15-2015 |
20150294332 | SALES PROCESS REVIEW PLATFORM - Apparatuses, systems, methods, and computer program products are disclosed for a sales process review platform. A review module may receive review data from a plurality of users for a sales process of a business entity or the like. An interface module may provide access to received review data. A forecast module may predict a closing date for a sales process with a business entity for a different user. An anonymity module may anonymize review data so that the review data is not associated with an identity of a user. A score module may provide a score to a user based on received review data. A score may be associated with an identity of a user. | 10-15-2015 |
20150294333 | MOBILE DEVICE BASED INVENTORY MANAGEMENT AND SALES TRENDS ANALYSIS IN A RETAIL ENVIRONMENT - A method for calculating sales trend of a product at a store shelf based on crowdsourcing, includes receiving, by a retail store server, availability data of a product measured on a shelf in the retail store from a portable device, where the availability data is in the form of a picture acquired of the product on the shelf, identifying products on the shelf using tags attached to the shelves, calculating sales velocity and sales trends of the product from the identified products, and transmitting the sales velocity and sales trend of the product to one or more third parties' systems in a supply chain of said retail store. Products and their locations on retail store shelves have been cataloged in a product database. | 10-15-2015 |
20150302432 | Classifying, Clustering, and Grouping Demand Series - Systems and methods for linear regression using safe screening techniques. A computing system may receive a plurality of time series included in a forecast hierarchy. For each time series, the computing system may determine a classification for the individual time series, a pattern group for the individual time series, and a level of the forecast hierarchy at which the each individual time series comprises an aggregate demand volume greater than a threshold amount. The computing system may generate an additional forecast hierarchy using the first forecast hierarchy, the classification, the pattern group, and the level. The computing system may provide, to the user of the system, forecast information related to at least one time series based on the additional forecast hierarchy. | 10-22-2015 |
20150310460 | CONSUMER PROFILING USING NETWORK CONNECTIVITY - A method and associated apparatus ( | 10-29-2015 |
20150317646 | TRANSFORMATION OF FINANCIAL TARGET AND QUOTA DEPLOYMENT - One or more processors determine a financial target for a plurality of business accounts across a plurality of product brands that are included in a business account level of an organizational hierarchy of a business organization. The organizational hierarchy includes a plurality of levels. One or more processors determine respective financial targets and quotas for a plurality of nodes included in a level of the organizational hierarchy. One or more processors determine respective financial targets for combinations of business accounts and product brands. The determination of the financial targets is based on a statistical model that is fitted at a middle level of the organizational hierarchy, and a risk-based stochastic optimization that is used to set financial targets and quotas at one or more levels of the organizational hierarchy. | 11-05-2015 |
20150317653 | OMNI-CHANNEL DEMAND MODELING AND PRICE OPTIMIZATION - Predicting demand of a product offered in multiple channels for a seller that has a plurality of physical store channels and one or more virtual channels, may comprise obtaining transaction log data having records of sales transactions with location identifiers in the one or more virtual channels. The one or more virtual channels may be segmented by locations based on locations of the physical stores and the location identifiers in the transaction log data. A demand model may be estimated by location that incorporates demand for the multiple channels in that location and captures cross-effect of said multiple channels in the same location based on historic sales and transaction data. Integrated price optimization may be performed across all channels and locations that compute one or more prices for each virtual channel and one price for each location in the other channels while also satisfying a plurality of inter-channel and inter-locations constraints. | 11-05-2015 |
20150324815 | SEASONALITY-BASED REPORTING PERIOD SYNCHRONIZATION - An automated computer-implemented method for generating a time-based comparative report is provided. The method includes receiving a selection of a first time period from a user device, identifying a first seasonality characteristic of the first time period, determining a second time period such that the second time period has a second seasonality characteristic matching the first seasonality characteristic, receiving from one or more data storage devices a first data set defined by the first time period and a second data set defined by at least one of the second time period and a user-selected third time period, and generating a comparative report using the first data set and the second data set. | 11-12-2015 |
20150324816 | PREDICTING LOCATION BASED ON PAYMENT CARD USAGE - A system and a method for predicting the location of a person using prior point of sale transaction data are disclosed. Historical purchase data is used to develop logic for predicting a present or future location at any given time of the cardholder. The logic can be tested against transaction data to qualify its accuracy. Statistical techniques are used to develop the logic with a sample of payment cardholders during an analytical phase. The logic can be applied to a broader universe of cardholders to ascertain a higher level of confidence that can be assigned to the prediction. | 11-12-2015 |
20150324817 | DYNAMIC DEMAND RESPONSE EVENT ASSESSMENT - A method of demand response (DR) event issue assessment is described. The method may include receiving parameters that may include one or more of contractual parameters, ambient condition data, historical data, and energy price data. The method may include predicting a customer demand and a customer energy curtailment based on one or more of the parameters. The method may further include calculating a customer participation likelihood based on one or more of the parameters. The method may include determining a price threshold based on one or more of the parameters, the customer energy curtailment, the customer demand, and the customer participation likelihood. The price threshold may represent an energy price at which issuing a DR event is more profitable than not issuing the DR event. | 11-12-2015 |
20150324818 | Long-Term Flow Assurance In A Transportation System - A method and system for long-term flow assurance is provided. Data is periodically acquired from multiple transportation systems each having a transportation structure such as a pipeline, and a transported material such as hydrocarbons or oil and gas. The data is stored in a central location. A global predictive flow model is maintained based on the data acquired from the multiple transportation systems. A data set of a transportation system of the multiple transportation systems is analyzed via the global predictive flow model to determine a flow assurance issue of the transportation system. | 11-12-2015 |
20150324825 | AUTOMATED IDENTIFICATION OF GEOGRAPHIC AUDIENCE BASED ON STORED MARKET DATA - A server for identifying one or more audience opportunities for a target product, based on stored marketing data is provided that solves the above-described problem by using an automated process that aids publishers in identifying and, taking advantage of, audience opportunities for the target product. The server is configured for defining at least one existing comparable product that matches one or more characteristics of the target product, reading social media data and sales data for the target product, reading social media data and sales data for the comparable product, calculating one or more audience opportunities for the target product based on the data that was read, ranking the one or more audience opportunities for the target product based on the stored marketing data, which comprises consumer behavior data, and displaying the audience opportunities and the corresponding rankings in a geographic map. | 11-12-2015 |
20150332292 | SYSTEM AND METHOD FOR MONITORING MARKET INFORMATION FOR DEREGULATED UTILITIES BASED ON TRANSACTION DATA - A system for determining market information of unregulated utility services comprises: a data storage device containing payment card transaction data of customers including customer information and information identifying a category of unregulated utility services; a filter configured to identify those transactions associated with the category of unregulated utility services from the payment card transaction data within a predetermined geographic region; a data storage device containing market or industry data related to the category of unregulated utility services; a processor; a memory storing program instructions, the processor being operative with the program instructions to: analyze the identified payment card transactions and the market or industry data related to the category of unregulated utility services; determine a score indicator representative of a given customer's probability of switching utility providers; compare the score indicator with a threshold value; and identifying those customers whose score indicator exceeds the threshold value. | 11-19-2015 |
20150332293 | PREDICTING CUSTOMER VALUE - In one example, a method includes determining, based on historical purchase data for a customer, an expectancy value that indicates when the customer is expected to make a purchase from a business, determining, based on the historical purchase data for the customer, a frequency value that indicates at what frequency the customer is expected to make purchases from the business during a future time period, and determining, based on the historical purchase data for the customer, a monetary value that indicates how much the customer is expected to spend during the future time period. In this example, the method includes determining, based on the expectancy value, the frequency value, and the monetary value, a future customer value score that indicates how valuable the customer is likely to be in the future time period. | 11-19-2015 |
20150332294 | Method and system for profiling and scheduling of thermal residential energy use for demand-side management programs - A methodology is provided for informing targeted Demand-Response (DR) and marketing programs that focus on the temperature-sensitive part of residential electricity demand. The methodology uses energy consumption readings collected from “smart” electricity meters, as well as hourly temperature readings. Individual consumption is decomposed into a thermal-sensitive part and a base load (non thermally-sensitive), a model of temperature response that is based on thermal regimes, i.e., unobserved decisions of customers to use their heating or cooling appliances. This model is used to extract useful benchmarks that compose a thermal profiles of individual customers, i.e., terse characterizations of the statistics of these customers' temperature-sensitive consumption. This knowledge may, in turn, inform the DR program by allowing scarce operational and marketing budgets to be spent on customers whose influencing will yield highest energy reductions at the right time. Methods are also provided for scheduling optimal, individual customer controls of the thermal appliance to achieve a desired profile of the aggregate energy reductions. | 11-19-2015 |
20150332295 | Method of Forecasting Resource Demand - A system, method, and computer-readable storage medium configured to enable forecast resource demand based on accountholder or merchant-level behavior. | 11-19-2015 |
20150332299 | SERVICE PRICING METHOD BASED ON SERVICE INDUSTRY AUCTION SYSTEM - The present invention relates to the technical field of service pricing methods, and in particular, to a service pricing method based on a service industry auction system. The present invention adopts the following technical solution, comprising: establishing a service-industry auction system; establishing a model of factors affecting a service price; calculating an influence coefficient of each influencing factor on the price according to historical transaction data of the auction system; the system predicting a market reference price of a service to be auctioned in future auctions; and continually correcting the market reference price predicted by the system according to the historical transaction data. The method of the present invention is used for pricing the service industry based on a service-industry auction system, fully considers the change of the service industry in the monopolistic competition market, and prices different services according to historical representations of different service auctioneers and factors affecting the price to achieve the purpose of facilitating service transactions. The method of the present invention saves many intermediate links for concluding a transaction, has a very good social network communication effect, and has a profound influence on employment increase. | 11-19-2015 |
20150339683 | METHOD AND APPARATUS FOR PROVIDING CUSTOMER NOTIFICATIONS - A computer-implemented method and an apparatus for providing customer notification detects the presence of a customer in one or more interaction channels from among a plurality of interaction channels. The presence of the customer in the one or more interaction channels is stored as presence information. Attention information corresponding to the customer is determined in connection with the presence information. The attention information indicates a current attention of the customer. A notification is provided to the customer on an interaction channel from among the plurality of interaction channels over which the customer is identified to be active or most likely to be active, based on the presence information and the attention information. | 11-26-2015 |
20150348065 | PREDICTION-BASED IDENTIFICATION OF OPTIMUM SERVICE PROVIDERS - Various embodiments select at least one service provider from a plurality of service providers in a computing environment to satisfy at least one service request. In one embodiment, a service request is received from a user. The service request includes at least a set of service requirements to be satisfied by at least one service provider. A satisfaction level is predicted for each of a plurality of service providers with respect to each of the set of service requirements. The prediction is based on a prediction satisfaction model associated with each of the plurality of service providers. At least one service provider is selected from the plurality of service providers for satisfying the service request based on the satisfaction level predicted for each of the plurality of service providers. | 12-03-2015 |
20150348066 | BUSINESS FORECASTING USING PREDICTIVE METADATA - A business forecasting tool utilizing metadata is provided. A processor receives one or more sets of business metrics. A processor receives a first metadata descriptor for a first set of business metrics of the one or more sets of business metrics. A processor receives a second metadata descriptor for a second set of business metrics of the one or more sets of business metrics. A processor prepares the first set of business metrics for prediction of a third set of business metrics based on, at least in part, the first metadata descriptor, where the first set and third set each correspond to a different time period. A processor generates a fourth set of business metrics based on, at least in part, the second metadata descriptor, where the second set and fourth set each correspond to a different time period. | 12-03-2015 |
20150348067 | COMPUTER IMPLEMENTED FORECASTING SYSTEM AND METHOD - A rolling cash forecasting tool that captures and analyses mixed frequency forecast cash flows is described. | 12-03-2015 |
20150348068 | PREDICTING WAITING PASSENGER COUNT AND EVALUATION - Predicting waiting passenger count and evaluation. The present invention provides to a dispatching support system in order to help bus dispatchers or operators make better instructions or decisions, by providing short-term passenger flow prediction. The dispatcher finds the predicted passenger flow and obtains accurate and useful information from the predicted passenger information, such as, bus status, bus location congestion level on the buses, and passenger oriented Key Performance Index, such as, passenger weighted waiting time. Based on this passenger information, dispatchers can make better decisions and instructions. | 12-03-2015 |
20150348069 | System For Individualized Customer Interaction - A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions). | 12-03-2015 |
20150356572 | AUTOMATICALLY PRESCRIBING TOTAL BUDGET FOR MARKETING AND SALES RESOURCES AND ALLOCATION ACROSS SPENDING CATEGORIES - A facility for automatically prescribing, for a distinguished offering, an allocation of resources to a total marketing budget and/or individual marketing activities is described. | 12-10-2015 |
20150356576 | COMPUTERIZED SYSTEMS, PROCESSES, AND USER INTERFACES FOR TARGETED MARKETING ASSOCIATED WITH A POPULATION OF REAL-ESTATE ASSETS - In one aspect, a method of generating a prediction list of real-estate assets that have a specified probability of being placed for sale within a specified period of time includes the step of providing a list of real-estate assets. Each real-estate asset is associated with one or more real-estate assets attributes. The method includes the step of providing a training data set wherein the training data set comprises a past population of data associated with a plurality of real-estate assets and a set of training-data set attributes for each real-estate asset in the plurality of real-estate assets. The method includes providing a testing data set wherein the testing data set comprises another past population of data associated with the plurality of real-estate assets and a set testing-data set attributes for each real-estate asset in the plurality of real-estate assets, wherein the set of testing data set attributes comprises an updated version of the training data set attributes from a specified later time. | 12-10-2015 |
20150356577 | LISTING A CANDIDATE SERVICE IN A SERVICE CATALOG - A method for listing a service in a service catalog. Feedback is received about a candidate service that is used to determine a score for the candidate service. It is determined whether the score for the candidate service exceeds a first threshold. If the score for the candidate service exceeds the first threshold, the candidate service is listed as a published service in the service catalog. Feedback is received about the published service that is used to determine a score for the published service. It is determined whether the score for the published service exceeds a second threshold. If the score for the published service exceeds the second threshold, a signal is sent to a service actualization unit to actualize the published service. | 12-10-2015 |
20150363800 | MERCHANT PERFORMANCE EVALUATION IN A COMPUTER NETWORKED ENVIRONMENT - Systems and methods of evaluating merchant performance in a computer networked environment are provided. A data processing system can obtain ecommerce traffic data identifying a product, and can obtain, separately from the ecommerce traffic data, catalog data not present in the ecommerce traffic data. Subsequent to obtaining the ecommerce traffic data and the catalog data, the data processing system can receive a query for a report. The query can include a key identifying the product. Using the key and responsive to the query for the report, the data processing system can direct a plurality of report generation servers to join at least part of the ecommerce traffic data with at least part of the catalog data to create joined data. The data processing system can generate the report, including the joined data, and the data processing system can provide the report to a merchant computing device. | 12-17-2015 |
20150363801 | APPARATUS AND METHOD FOR PREDICTING THE BEHAVIOR OR STATE OF A NEGATIVE OCCURRENCE CLASS - A method and apparatus are presented for predicting the behavior or state of a negative occurrence class by scoring histories of members of the negative occurrence class against pasts of members of a positive occurrence class. The method and apparatus predicts the members of the negative occurrence class that are most likely to next transition to members of the positive occurrence class. | 12-17-2015 |
20150363806 | PRODUCT PRICING APPARATUS FOR ELECTRONIC INFORMATION LABEL SYSTEM AND METHOD THEREFOR - An apparatus and method for determining a product price for an electronic information label (EIL) system. The apparatus identifies customer interest in a particular product based on customers and their behaviors that express interest of a product, and determines a price for the product based on the customer interest. The apparatus may first determine a basic price of the product according to an existing method, and then determine a final price by adjusting the basic price, taking into account customer interest, and, if needed, the sales of the product. The determined product price may be transmitted to the EIL system and then be displayed on an EIL tag. | 12-17-2015 |
20150371189 | Method and system for enabling the creation, development, and fulfillment of products and services by crowdsourcing relevant customers, producers, and investors - The present invention provides a method and system for creating new products and services, aggregating demand for said products and services, and introducing said products and services into the marketplace. The invention provides a means for: 1.) consumers to specify products and services that they desire, 2.) consumers to make known their intention to purchase said products and services, and 3.) sellers to find and develop the products and services which have aggregated significant consumer demand. | 12-24-2015 |
20150371242 | SYSTEMS AND METHODS FOR PRIME PRODUCT FORECASTING - Systems and methods are disclosed for forecasting future sales of a prime product. The system includes at least one processor configured with instructions to collect historical sales data of the prime product, collect historical telematics data from one or more machines that were sold as the prime product, and collect historical econometric data relevant to the prime product. The at least one processor also generates a group of candidate predictors from the historical telematics data and the historical econometric data, select predictors from the group of candidate predictors, and establish a forecasting model representing a relationship between the selected predictors and the historical sales data of the prime product. The at least one processor forecasts future sales of the prime product by using the established forecasting model. | 12-24-2015 |
20150371243 | SYSTEMS AND METHODS FOR PARTS FORECASTING - Systems and methods are disclosed for forecasting future sales of a part. The system includes at least one processor configured with instructions to collect historical sales data of the part, collect historical telematics data from one or more machines including the part, and collect historical econometric data relevant to the part. The at least one processor also generates a group of candidate predictors from the historical telematics data and the historical econometric data, select predictors from the group of candidate predictors, and establish a forecasting model representing a relationship between the selected predictors and the historical sales data of the part. The at least one processor forecasts future sales of the part by using the established forecasting model. | 12-24-2015 |
20150371244 | FORECASTING INFORMATION TECHNOLOGY WORKLOAD DEMAND - Embodiments of the disclosure describe methods and systems for improved forecasting of IT workloads and related metrics. Embodiments may include, for example, normalizing, warehousing and mining of data sets of many types collected from many different customers, applications and execution environments, and of metrics internal and external to such customers. Prediction or forecasting algorithms may be developed for predicting future IT workload demand based on a discovered relationship between certain factors and historical information. The prediction algorithms may be applied as appropriate to each customer's workloads, applications, and execution environments. | 12-24-2015 |
20150371245 | Airline Sales Forecasting and Budgeting Tool - A computer-implemented method is provided for forecasting passengers for a given carrier in a given market. The method includes: receiving an expected percentage change in market share for a given itinerary of the carrier during a future time period; receiving a quantity of passengers transported by the carrier via the given itinerary during a preceding time period; determining a percentage change in quantity of passengers in the given market during the future time period; and determining a forecasted quantity of passengers transported by the carrier during the future time period as a function of the quantity of passengers transported by the carrier via the given itinerary during a preceding time period, the expected percentage change in market share for the given itinerary during a future time period and the percentage change in quantity of passengers in the given market during the future time period. | 12-24-2015 |
20150371246 | Automatic Generation of Calendarization Curves - The present invention is directed to a method of generating estimates of a sales opportunity's impact. A graphical user interface is provided for inputting input several variables including the following: a number of events for a period of time, an event interval, a start date, and a cumulative result (e.g. total volume, margin, and/or revenue). Additionally, the user selects a predetermined curve shape that he or she subjectively believes will best estimate the distribution of the result(s) over the time period. Then, results are discretely distributed over the period of time, at the specified event interval, according to the predetermined curve shape. The present invention provides more accurate forecast data to an organization's management than the prior art, which required the user to manually develop forecast data for each individual impact point. Therefore, the present invention saves time, improves accuracy, and reduces tension in the organization's sales force. | 12-24-2015 |
20150379461 | CHANNEL ASSORTMENT DECISION ENGINE - A method of limiting cross-channel splits in a supply chain network based at least in part on an additional distinct item capacity of a first channel. The method can include determining a target order set from historical order data, which can include orders each having at least one first item that was fulfilled from the first channel and at least one second item that was fulfilled from a second channel in the supply chain network that is different from the first channel. The method also can include determining, for each order of the target order set, a non-owned item combination, which can include distinct items that were not fulfilled from the first channel when the order was fulfilled. The method further can include determining a non-owned item combination set and a split item set. The method also can include determining, for each of the non-owned item combinations, a combination profit. The method further can include determining a selected set of the distinct items that maximizes a payoff of the selected set of the distinct items. | 12-31-2015 |
20150379530 | DRIVING BUSINESS TRAFFIC BY PREDICTIVE ANALYSIS OF SOCIAL MEDIA - According to a business requirement, a set of characteristics of a market is computed. The market comprises a group of potential buyers of a product. In a social medium, the market is identified. A data source operates in the market in the social medium. Data corresponding to the data source in the social medium is analyzed to identify a set of attributes of an event occurring in the social medium. An attribute in the set of attributes is correlated with the product. An information associated with a business application is manipulated such that a search result showing an availability of the product from the business application is promoted in a set of search results produced by a search engine, wherein the set of search results is responsive to a search related to the event in the social medium. | 12-31-2015 |
20150379531 | SYSTEM AND METHOD FOR MANAGEMENT OF MOBILE BUSINESS PROFITABILITY - A system and method for identification of at least one profitable location for mobile business users are presented. The method includes receiving, by a profitability location engine communicatively coupled to a network, a request for a list of profitable locations for one or more mobile business users with a region. The profitability location engine receives business input data associated with a business of the mobile business user, and generates output prediction data. The output prediction data includes one or more profitable locations for the business. A report including the profitable locations is displayed to the mobile business users. | 12-31-2015 |
20150379533 | PREDICTION OF AN ESTIMATED REMAINING UTILITY USAGE VIA METER AND ADJUSTING AN ALERT THRESHOLD - A method and system for predicting an estimated remaining utility usage and adjusting an alert threshold for a prepaid utility meter account includes receiving an indication of a time period of inaccessibility to replenish a prepaid utility meter account, predicting an alert trigger time when an estimated remaining utility usage for the prepaid utility meter account falls below an alert threshold, and determining that the time period of inaccessibility overlaps the predicted alert trigger time, and responsively adjusting the alert threshold such that the predicted alert trigger time occurs before the time period of inaccessibility. The method also includes receiving an indication of a business objective for a utility company and automatically adjusting the alert threshold associated with the prepaid utility meter account based on the business objective. | 12-31-2015 |
20150379536 | CONSUMPTION-DRIVEN FORECASTING USING MULTI-LEVEL HETEROGENEOUS INPUT DATA - A method, system, and computer program product for generating forecasts and replenishment plans. Some embodiments commence upon receiving point-of-sale data, then receiving distribution-level order data in a second data format. The first point-of-sale data comprises an item identifier and a first date or first date range, and the distribution-level order data comprises the item identifier and a second date or second date range. The originators of the order data are determined using address identifiers (e.g., network location identifiers). The received data is combined wherein at least a portion of the point-of-sale data is combined with at least a portion of the distribution-level order data to generate a combined forecast for the item. Further processing includes receiving an inventory model parameter and combining at least a portion of the first point-of-sale consumption data with at least a portion of the distribution-level order data to generate a replenishment plan for the item. | 12-31-2015 |
20150379540 | RESOURCE PACKAGE COMBINATION TO INDUCE DATACENTER PRICING STABILITY - Technologies are generally provided to induce datacenter pricing stability. In some examples, a stabilizer module at a datacenter may be configured to monitor a customer demand for resources from the datacenter and real-time pricing for the demanded resources. The stabilizer module may detect an impending pricing instability in response to increased demand for resources, and may determine an incremental cost to provide the resources based on a determined linearity for available resources. The stabilizer module may determine combinations of linear and non-linear resources to offer to the customers based on a stability metric computed from the incremental cost and the resource demand, where the combination of resources to offer may have a more linear increase in cost per resource compared to one of the demanded resources. | 12-31-2015 |
20160005055 | GENERIC TIME SERIES FORECASTING - A generic time series forecasting system receives historical time series data and one or more initial parameter values for one or more parameters of a predictive algorithm, such as an exponential smoothing algorithm. The generic time series forecasting system iteratively determines an optimized value for each of one or more parameters for the predictive algorithm based on the received historical time series data and the received one or more initial parameter values. The generic time series forecasting system generates and outputs data for a forecasted time series based on the iteratively optimized value for each of the one or more parameters, the received historical time series data, and the predictive algorithm. | 01-07-2016 |
20160005056 | SYSTEM AND METHOD FOR PREDICTING AFFINITY TOWARDS A PRODUCT BASED ON PERSONALITY ELASTICITY OF THE PRODUCT - This technology relates to devices, methods, and non-transitory computer-readable media for predicting affinity of a user towards a product based on personality elasticity of products. The personality elasticity of products means elasticity of affinity towards product with personality profile. The value of elasticity of a product with respect to a personality trait is higher if a difference in personality trait is significant in causing a variation in the affinity towards the product. Further, this technology provides improved product recommendations by correlating personality elasticity of products with big five personality trait model by retrieving user information (like psychographic and demographic details) from different sources. Higher weightage is attributed to more significant personality traits. | 01-07-2016 |
20160019562 | OIKOS Delos - OIKOS Delos is designed to accurately report Days Sales Outstanding (DSO) and forecast cash collections based on a DSO goal; tossing away the traditional metric formula and granulating to a level of data that will arm CFOs & Treasurers with substantive real facts. The OIKOS Delos program employs a revenue absorption methodology and business cycle in calculating actual Days Sales Outstanding collection and forecasting DSO required cash collection. The program has the capability to analyze specific data the user defines. For example, a user may want to DSO a specific customer or region, by a currency. As long as the user has access to the information; defines currency, ending AR for the customer or region, and actual (or forecasted) revenue streams for the customer or region, a DSO can be calculated or goaled. | 01-21-2016 |
20160019563 | Cost Impact Simulator and Gross Profit Analyzer - Changes in the supply chain of one product may affect the price and availability of many other products. Likewise, a product may be composed of a number of smaller parts. Changes in the cost or availability of any of the parts that comprise a product may result in changes in cost or availability of the product as well as many other related products. A supply chain analysis engine is used to model a supply chain. The supply chain analysis engine may identify dependencies between products, sub products, and supply chains. The dependencies may be used to analyze the impact of a change in the supply chain on all relevant products. | 01-21-2016 |
20160019564 | EVALUATING DEVICE READINESS - Systems and methods for forecasting device return rates are described. Some implementations include initializing a model representing a device's readiness for market based on one or more key performance indicators (KPIs) of the device, the model being represented by a curve, computing differences between measured value of KPIs of the device and values of KPIs fitted to the curve, identifying an inflection point of the curve based on the computed differences, interpreting the shape of the curve based on the identified inflection point, a readiness index and the curvature of the curve and determining a state of readiness of the device based on the interpreted shape of the curve. | 01-21-2016 |
20160019565 | PREDICTING THE BUSINESS IMPACT OF TWEET CONVERSATIONS - A system and methods are provided for identifying conversations in tweet streams. A method includes grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent. The method further includes splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages. The method also includes clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders. The method additionally includes merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists. Each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged. | 01-21-2016 |
20160019566 | MOBILE SOCIAL NETWORK ANALYSIS SYSTEM AND METHOD - The present invention provides a method and system for mobile social network analytics. The entire subscriber base forms a social segment for any telecom company. This is commonly known as telecom call graph. The present invention constructs social segments and computes social metrics of both segments and individual subscribers in the telecom network. The present invention further analyses the social segment graph and assigns segment score and churn propensity score to each subscriber using a mobile social network analytics system. The input to the mobile social network analytics system is CDR from external sources and information from campaigns, demographics and so on. The mobile social network analytics system processes the CDR, the other information and outputs segment score and churn score. | 01-21-2016 |
20160019567 | WARRANTY COST ESTIMATION BASED ON COMPUTING A PROJECTED NUMBER OF FAILURES OF PRODUCTS - Estimating warranty cost of products having multiple parts is described. In an implementation, part-failure data indicative of number of cycles at which each part fails in and after a first predefined time period is determined Sensor data and service records data are obtained to determine DTC occurrence data and DTC observance data. The DTC occurrence data and the DTC observance data are indicative of number of cycles at which each DTC associated with each part occurs and is observed for first time in the first predefined time period, respectively. Dependency parameters between the part-failure data, the DTC occurrence data and the DTC observance data are identified based on Bayesian Network that represents probabilistic relationships between the part-failure data, the DTC occurrence data and the DTC observance data. Number of failures of products in a second predefined time period is computed based on the dependency parameters for estimating the warranty cost. | 01-21-2016 |
20160019568 | ColorStream Inventory Management System and Methodology - An Inventory Management system and methodology employing a BASE association algorithm in the assessment of graphical images for an Inventory (or Safety Stock/Forecast/Supply and/or Purchase Order) management and engaging procedure designed for systematic calculation of inventory adjustments based on graphical components interpretation and user defined rules. Instead of working with underlying numbers, the disclosed system and methodology works with associative numbers assigned to each component in every time bucket of a graphical chart in reference to its distinct BASE or calculated RUNRATE. Explicit colors are assigned to each component of the chart and color recognition may be used in establishing the associations by measuring and comparing the component levels in each defined area of the chart. Optionally, straight calculation can be used to determine the associative levels of the components. Levels for every component are expressed in units of an established BASE in every time frame bucket of the chart and will provide a foundation for computation of recommended forecast adjustments. To address active supply/forecast management and to control inventory levels the following elements must be inspected and evaluated daily: current inventory and forecast (future open orders), Shipping history and current Backlog (hard orders). | 01-21-2016 |
20160027026 | ORDER QUANTITY DETERMINATION METHOD, COMPUTER-READABLE MEDIUM, AND INFORMATION PROCESSING DEVICE - An order quantity determination method includes: accepting lead time from product order to arrival; calculating a stock quantity of the product by a processor based on an arrival quantity of the product and a demand forecast value of the product, the arrival quantity of the product is calculated based on the accepted lead time and order time of the product; and calculating an order quantity of the product by a processor based on a cost for holding the calculated stock quantity of the product, a price of the product, and the demand forecast value of the product. | 01-28-2016 |
20160027027 | SYSTEM AND METHOD OF MARKET VALUATION FOR RESOURCE EXTRACTION COMPANIES USING MONTE CARLO SIMULATION - In general, in one aspect, the invention relates to a method for determining an exploration portfolio value. The method includes receiving a request for the exploration portfolio value targeting an exploration portfolio, where the request comprises exploration site data, obtaining a fiscal regime estimation for the exploration site data, and obtaining a capital expenditure estimation for the exploration site data. The method further includes adjusting the exploration site data using the fiscal regime estimation and the capital expenditure estimation to obtain adjusted exploration site data, generating a probability distribution by executing, using a computer processor, a Monte Carlo simulation on the adjusted exploration site data, and determining the exploration portfolio value from the probability distribution. | 01-28-2016 |
20160034903 | Modifying A Number Of Opportunities In A Customer Relationship Management (CRM) System - A method for modifying a number of opportunities in a customer relationship management (CRM) system includes obtaining, from a CRM system, a number of opportunities, the opportunities representing a complex record structure in the CRM system, in which each of the opportunities captures a number of fields of metadata, comparing the metadata associated with the opportunities with a number of archived opportunity templates to create a comparison, analyzing the comparison to identify a number of patterns for the opportunities, and modifying, based on the number of patterns for the opportunities, the opportunities to create at least one new opportunity. | 02-04-2016 |
20160034925 | SYSTEMS AND METHODS FOR IDENTIFYING CARDHOLDER STOCK-PILING BEHAVIOR - A computer-implemented method for identifying cardholder stock-piling behavior is implemented by a purchase analysis computer system in communication with a memory. The method includes retrieving at least one stock-piling profile used to identify transaction characteristics consistent with a stock-piling event wherein the stock-piling profile includes a plurality of ranges of expected cardholder transaction volumes associated with a plurality of categories of transactions, receiving a plurality of transaction data associated with the plurality of categories of transactions, determining an actual cardholder transaction volume for each of the plurality of categories of transactions, and identifying cardholder stock-piling behavior by comparing the actual cardholder transaction volume to the range of expected cardholder transaction volume for each of a plurality of categories of transactions. | 02-04-2016 |
20160034926 | DETERMINING A MONETARY VALUE FOR AN OUTCOME BASED ON A USER'S ACTIVITY - Determining a monetary value for an outcome based on a user's activity includes monitoring activities of a user utilizing a number of applications associated with a customer relationship management (CRM) system, determining, based on monitoring the activities of the user utilizing the number of applications, outcomes for the activities of the user, the outcomes being associated with opportunities stored in the CRM system, assigning a contribution value to the outcome based on the activities of the user, and determining, based on the contribution value, a monetary value for the outcomes. | 02-04-2016 |
20160034927 | Customer Relations Intelligence - A system and method for customer true understanding based on behavioral economics, comprising: retrieving parameters from an organization's data sources, the parameters including historical operations of the organization's clients; providing a dependent variable indicating consumer behavior and its operational definition; creating a random sample of the retrieved parameters; selecting cognitive heuristics and biases that may be tested using the sample parameters; partitioning the selected heuristics into clusters wherein each cluster is assigned a grade; assigning psychological attributes to clusters; testing the influence of each psychological attributes on the dependent variable; scoring the attributes per customer; and calculating the value of a super variable by a weighted sum of the attributes. | 02-04-2016 |
20160034928 | SYSTEMS AND METHODS FOR PROMOTIONAL FORECASTING - A system for promotional forecasting in a retail environment is provided. The system includes at least one processor coupled to a memory storing sales history information associated with a product, an interface configured to receive a promotion configuration profile including an indication of the product and a state of a plurality of promotion variables, and a promotional forecasting component. The promotional forecasting component is configured to determine a base sales quantity of the product based on the sales history information, determine a lift factor for each promotion variable, the lift factor indicative of an effect of the promotion variable on the base sales quantity, determine a total lift factor for the promotion configuration profile based on the lift factor for each promotion variable and the state of each promotion variable, and determine a forecasted sales quantity for the product based on the base sales quantity and the total lift factor. | 02-04-2016 |
20160042368 | ADVISOR AND NOTIFICATION TO REDUCE BILL SHOCK - According to various aspects of the subject technology, systems and methods for analyzing consumption data associated with a user to determine a projected consumption cost for the user. The projected consumption cost can indicate an expected monetary cost that the user will be required to pay for resource consumption during a specified time period. If it is determined that the projected consumption cost exceeds a threshold consumption cost indicating that the projected consumption cost of the user will be high, the user can be provided with one or more use reports notifying the user that the user's projected consumption cost will be high for the time period. The use reports can warn the user that a high bill should be expected, thereby reducing bill shock and ensuing call center calls. | 02-11-2016 |
20160042369 | DYNAMIC CO-OPTIMIZATION MANAGEMENT FOR GRID SCALE ENERGY STORAGE SYSTEM (GSESS) MARKET PARTICIPATION - A system and method for controlling operation of one or more grid scale energy storage systems (GSESSs). The method includes generating at least one time series model to provide forecasted pricing data for a plurality of markets, determining a reserve capacity for the one or more GSESSs to provide one or more real-time operation services, determining battery life and degradation costs for one or more batteries in the one or more GSESSs to provide battery life and degradation costs, and optimizing bids for the plurality of markets to generate optimal bids based on at least one of the forecasted pricing data, the battery life and degradation costs and the reserve capacity. | 02-11-2016 |
20160042374 | Methods and Systems for Identifying Merchant and ATM Demand - Methods and systems are provided for identifying demand at, for example, merchants and ATMs located within selected geographic boundaries, and over a selected time frame. Transaction data for transactions conducted over the selected time frame is received at a computing device, and location data is associated with each of the transactions. The location data generally corresponds to a location at which each of the transactions occurred. The transactions are then grouped into geographic boundaries based on the location data. For each of the geographic boundaries, the transaction data is compared to a predefined benchmark. And, for each of the geographic boundaries satisfying the benchmark, demand indices are generated indicative of financial demand in the geographic boundary. | 02-11-2016 |
20160048852 | PREDICTIVE RISK MANAGEMENT BASED PRODUCT PROCUREMENT - An apparatus includes a demand module that determines a demand for a product offered from a plurality of suppliers. A pricing module receives cost factors associated with the product to determine a base per unit cost of the product. A quality module receives quality factors associated with the product to determine a per unit quality cost adder. A cost module calculates a procurement cost of the product. A supplier module receives production factors describing a supplier's ability to provide the product. A social module monitors social media for social data describing events related to a supplier's ability to provide the product. A procurement module determines, based on the per unit procurement cost of the product, the production factors, and the social data, a product order allocation for each supplier that fulfills the demand. | 02-18-2016 |
20160048853 | GENERATING WORK PRODUCTS USING WORK PRODUCT METRICS AND PREDICTED CONSTITUENT AVAILABILITY - A method includes predicting availability of a plurality of constituents for one or more future epochs, obtaining one or more metrics for each of a plurality of existing work products, each of the plurality of existing work products using at least one constituent, and generating at least one work product for each of the one or more future epochs based in part on the predicted availability of the constituents and the one or more metrics for the existing work products. The metrics for the existing work products may include quality metrics and novelty metrics. | 02-18-2016 |
20160048854 | SALES PREDICTION SYSTEMS AND METHODS - Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company. | 02-18-2016 |
20160055452 | INVENTORY MIRRORING IN A HETEROGENEOUS FULFILLMENT NETWORK - A method of determining an inventory mirroring plan for a set of distinct items in a heterogeneous fulfillment network is presented. The fulfillment network can include a plurality of distribution centers, each distribution center having differing capabilities. The method can include determining a solution value of the number of clusters for each distinct item that minimizes a sum of a total shipping cost of each distinct item, subject to a total distinct item capacity of the plurality of distribution centers in the fulfillment network. The method can further include using a probability of the item being placed in a specific distribution center based on either the capacity of the distribution center or historical data. The probability can be used to stock items. Overages and deficits can be used to further refine the distribution. Other embodiments are also disclosed. | 02-25-2016 |
20160055494 | BOOKING BASED DEMAND FORECAST - A computer-implemented method for a booking based demand forecast problem includes converting time series data into a multivariate time series, training a multivariate time series model using the converted multivariate time series, forecasting results using the multivariate time series model and aggregating the results. | 02-25-2016 |
20160055495 | SYSTEMS AND METHODS FOR ESTIMATING DEMAND - A method for computing a demand probability for one or more products. The method can include establishing one or more similarities between one or more regional segments and combining the one or more regional segments into one or more clusters based on the one or more similarities. The method can also include executing one or more computer instructions on one or more processors for determining a demand probability distribution across the one or more clusters for the one or more products based on historical data and delivering the one or more products to the one or more clusters based on the demand probability distribution. | 02-25-2016 |
20160055496 | CHURN PREDICTION BASED ON EXISTING EVENT DATA - According to one embodiment of the present invention, a method for predicting customer churn is provided. The method may comprise receiving a sequence of system events in a system log, wherein the system log is associated with a customer storage system. The method may further comprise dividing the sequence of events into a plurality of consecutive time frames. The method may further comprise assigning a state to each time frame of the plurality of consecutive time frames, wherein the state indicates a likelihood of a customer associated with the customer storage system to engage in a churn event. The method may further comprise determining whether the customer is likely to engage in the churn event based on the state of one or more time frames. The method may further comprise transmitting an alert, responsive to determining that the customer is likely to engage in the churn event. | 02-25-2016 |
20160055498 | OBTAINING CONSUMER SURVEY RESPONSES AT POINT OF INTERACTION FOR USE TO PREDICT PURCHASING BEHAVIOR - Systems, apparatus and methods for obtaining consumer survey responses from a payment account holder at a point of interaction and then using that information to predict future consumer purchasing behavior. In an embodiment, at least one consumer survey question that represents a portion of a consumer survey poll is transmitted to a cardholder for display on a display screen at a point of interaction. The process includes receiving a response to the consumer survey question(s), storing the response(s) in association with purchase transaction data of the cardholder in a storage device, and then transmitting a commercial message personalized to the cardholder for display on the display screen at the point of interaction. | 02-25-2016 |
20160055507 | FORECASTING MARKET PRICES FOR MANAGEMENT OF GRID-SCALE ENERGY STORAGE SYSTEMS - Systems and methods for forecasting energy usage data for one or more markets, including providing energy variable input data for one or more energy variables, transforming the energy variable input data using functions of the energy variable input data to generate transformed functions, modeling the transformed functions as one or more time series models, the time series models representing energy usage over time and energy usage predictions, and generating forecasted energy usage data based on the one or more time series models for management of one or more energy resources. | 02-25-2016 |
20160063519 | DATA ANALYSIS APPARATUS, DATA ANALYSIS SYSTEM, COMMODITY EXCHANGE FORECASTING APPARATUS, COMMODITY EXCHANGE FORECASTING SYSTEM, DATA ANALYSIS METHOD, COMMODITY EXCHANGE FORECASTING METHOD, AND COMPUTER-READABLE MEDIUM - A data analysis apparatus, system, method and non-transitory computer-readable storage medium are disclosed. A data analysis apparatus may include a memory storing instructions, and at least one processor configured to process the instructions to identify products included in a captured image, specify placement positions of the products, and analyze connection between a positional relation among the products and sales of the products based on the placement positions of the products and commodity exchange data of the products. | 03-03-2016 |
20160063521 | CHANNEL PARTNER ANALYTICS - Described is a technology by which channel partner analytic records (CPAR) are arranged and processed to obtain value from the data provided by channel partners. Included is collecting and joining disparate channel partner data into a combined dataset, generating insights from the combined data set, and taking action based upon the insights. To this end, the technology comprises a channel partner data model, a set of metrics and performance indications, and sets of analyses with respect to a given industry. | 03-03-2016 |
20160063522 | FRAMEWORK FOR MARKETPLACE ANALYSIS - A marketplace diagnostics framework for analyzing and managing online marketplaces. | 03-03-2016 |
20160063526 | METHOD AND SYSTEM FOR OPTIMIZING CUSTOMER VOLUME AT A MERCHANT STORE - A method and a system are provided for optimizing customer volume at a merchant store. In particular, the present disclosure provides a method and a system for forecasting how many shoppers will be in a merchant store at certain times of the day. The method and the system enable the merchant to forecast shopper volume at a merchant store for a defined date and time, and to make a targeted promotional offer at a merchant store for a defined date and time to a plurality of payment card holders. The method and the system are useful for the merchant in terms of optimizing resource needs, and enabling the merchant to run promotions that only apply during “down-times” to drive more shoppers to their store. | 03-03-2016 |
20160063527 | GENERATING CUSTOMER LISTS USING INTERPOLATED DATA DERIVED FROM SEVERE WEATHER INCIDENT DATA - A method of generating a list of targeted customers for a sales representative within a territory affected by a severe weather incident is provided using severe weather incident data, such as hailstone size, retrieved from a first database and customer data retrieved from a second database. The customer data and severe weather incident data are displayed onto a map viewable by a user and a targeted customer list is generated based on at least one user-selected parameter and the intersection of customer data points with weather data points. | 03-03-2016 |
20160071124 | SYSTEM AND METHOD FOR PREDICTIVE ACCOUNT TARGETING - A system and method for predictive account targeting are disclosed. A particular embodiment includes providing, by a data processor, data communication with a database including a plurality of accounts, each account having a plurality of associated account attributes; generating, by the data processor, a user interface for a user at a user platform; presenting to the user, by use of the user interface, a plurality of account attribute options associated with the plurality of accounts; enabling the user to create an account list associated with a targeted portion of the plurality of accounts having account attributes corresponding to a selected account attribute option; and enabling the user to attribute or assign the account list of targeted accounts to a particular individual, entity, or activity. | 03-10-2016 |
20160071125 | REAL TIME PROVISIONAL EVALUATION OF UTILITY PROGRAM PERFORMANCE - Embodiments are directed towards automatic provisional evaluation of utility program performance. Treatment facilities may be determined depending characteristics of a project. A performance profile corresponding to each treatment facility may be generated based on historical information corresponding to each treatment facility. Current usage information and current weather information for each treatment facility may be determined. Pre-treatment usage information that corresponds to each treatment facility may be determined based on the performance profile and the current usage information and the current weather information. A program evaluation report may be generated that includes program realization information. Program realization information may be based on an aggregation of project savings information that corresponds to the treatment facilities. Project savings information may be modified based on confidence weights. A program evaluation report may include information from one or more comparison facilities. | 03-10-2016 |
20160071126 | Customer Journey Prediction and Resolution - Customer journey prediction and resolution is accomplished via a predictive model in which each user is mapped onto all available user journey information corresponding to a specific business. The predictive model is analyzed to understand the characteristics, preferences, and lowest effort resolution for the user related to the services that are subscribed to by the user. The predictive model is analyzed to predict the service or collection of services for each user. Embodiments interact with, provide and receive information from, and react to and/or deliver action to the customer across channels and across services. All customer and system behavior, data, and action is tracked and coordinated and leveraged for continuous feedback and performance improvement. | 03-10-2016 |
20160078456 | METHOD AND APPARATUS FOR PREDICTING CUSTOMER INTENTIONS - A computer-implemented method and apparatus for predicting customer intentions defines a plurality of categories for classifying customer interaction data. The plurality of categories includes at least one action category for classifying information related to customer actions on interaction channels. Data signals corresponding to a customer interaction on one or more interaction channels is received. The data signals include information related to at least one customer action. A sequence of values is generated for each customer action for classifying information related to the each customer action. A value is generated corresponding to each action category to configure the sequence of values. The sequence of values is associated with a fixed length equal to a number of action categories in the at least one action category. The fixed length of the sequence of values facilitates use of one or more intention classifiers to predict an intention of the customer. | 03-17-2016 |
20160078457 | System of Sequential Kernel Regression Modeling for Forecasting Financial Data - A monitoring system for determining the future behavior of a financial system includes an empirical model to receive reference data that indicates the normal behavior of the system and input pattern arrays. Each input pattern array has a plurality of input vectors, while each input vector represents a time point and has input values representing a plurality of parameters indicating the current condition of the system. The model generates estimate values based on a calculation that uses an input pattern array and the reference data to determine a similarity measure between the input values and reference data. The estimate values, in the form of an estimate matrix, include at least one estimate vector of inferred estimate values, and represents at least one time point that is not represented by the input vectors. The inferred estimate values are used to determine a future behavior of the financial system. | 03-17-2016 |
20160080173 | COMPLEX EVENT PROCESSING AS DIGITAL SIGNALS - Devices, systems and/or methods are provided to implement true real time pattern recognition and anomaly detection by leveraging hardware specifically designed for that purpose. In particular, digital signal processors (DSPs) are used to provide true real time analysis of digital signals. In an embodiment, the system may convert the CEP stream itself to a format understood by the hardware components while retaining enough specificity to reference particular events for further processing and analytics, resulting in true real time performance for CEP. | 03-17-2016 |
20160086190 | SYSTEMS AND METHODS FOR COMPREHENSIVE CONSUMER RELATIONSHIP MANAGEMENT - A comprehensive consumer relationship management system is disclosed. The comprehensive consumer relationship management system includes dispute resolution, customized data modeling, advertising assistance, and secure communications. By providing value added features, the comprehensive consumer relationship management system may strengthen consumer relationships by, for example, creating detailed data analysis to aid in making business decisions and facilitating secure communications among diverse consumers. | 03-24-2016 |
20160086199 | System and method for performing demand response optimizations - A method and system are provided for optimizing a demand response program. The method comprises obtaining usage data for a plurality of target devices; and using at least one variable associated with usage behavior of the plurality of target devices to optimize the demand response program. | 03-24-2016 |
20160086200 | PRODUCT CODE ANALYSIS SYSTEM AND PRODUCT CODE ANALYSIS PROGRAM - A product code analysis system, which reads a classification dictionary database which links and stores keywords in each level which configures a hierarchical structure with unit columns which are where each product name is stored. It provisionally classifies and registers product names of each inputted record according to rates of appearance of the classification name keywords with respect to each record; reads a product name dictionary database which stores product name keywords associated with each unit column; and registers in the unit columns the product names of each record according to the rates of appearance of the product name keywords with respect to each provisionally registered record. When computing the rate of appearance of the keywords in the provisional classifications and the product name registrations, the product code analysis system defines the order of handling the dictionaries and keywords, and combination of keywords and the order of handling keywords. | 03-24-2016 |
20160086201 | METHODS AND APPARATUS TO MANAGE MARKETING FORECASTING ACTIVITY - Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes retrieving, with a processor, a vetted sales forecast of a marketing objective, a corresponding set of drivers, and historical control data of the set of drivers, calculating, with the processor, (a) a first probability of not adjusting the set of drivers to meet the marketing objective and (b) a second probability of adjusting the set of drivers to meet the marketing objective, the first probability and the second probabilities based on the historical control data, overlaying default confidence limits associated with the vetted sales forecast on a graphical display, and in response to an adjustment via a graphical user interface to at least one of the default confidence limits, adjusting a frequency of displayed alerts of the vetted sales forecast to prevent at least one of overestimation or underestimation of adjustment of the set of drivers based on (a) the first probability, (b) the second probability and (c) a cost of adjusting the set of drivers. | 03-24-2016 |
20160092893 | SYSTEM, METHOD, AND APPARATUS FOR PREDICTING ITEM CHARACTERISTIC POPULARITY - The present disclosure is directed to apparatuses, systems, and methods for predicting item characteristic popularity—i.e., identifying item characteristics (e.g., item brands, item types, etc.) that are to eventually become popular. Something that is to eventually become popular is referred to herein as “pre-trend” or “cool.” In the embodiments described herein, electronic marketplace transaction data is analyzed to identify popular characteristics of items involved in recent transactions. The electronic marketplace transaction data is further analyzed to identify one or more users that executed transactions for items having these popular characteristics during a previous time period. These users' transaction histories are analyzed to determine what other item characteristics are prevalent in their more recent transactions, as these item characteristics can be identified as pre-trend/cool. | 03-31-2016 |
20160098735 | MARKETING CHANNEL ATTRIBUTION - Techniques are disclosed for evaluating the incremental effect of a marketing channel that forms part of a multichannel marketing campaign. In one implementation data characterizing observed marketing interactions and outcomes is collected. A conversion probability is estimated as a function of the observed interactions using logistic regression techniques, wherein converting and non-converting consumers comprise the two classes upon which the regression is based. As a result, marketing interactions that are relatively more commonplace amongst converting consumers (as compared to non-converting consumers) receive greater attribution for observed conversions. The estimated conversion probability is then used to predict an incremental quantity of conversions that can be attributed to a kth marketing channel based on the average treatment effect. Based on these predictions, it is possible to evaluate the extent to which market segment variables influence how attribution is distributed amongst various marketing channels. | 04-07-2016 |
20160098736 | SUGGESTION ENGINE FOR CUSTOMER RELATIONSHIP MANAGEMENT - A method, system and computer program product for suggestion processing in a customer relationship management (CRM) computing system is provided. The method includes communicatively coupling a pre-processor to different data sources of CRM related data of a CRM computing system and monitoring by the pre-processor the different data sources. In response to detecting changes in one or more of the different data sources, the pre-processor identifies different correlated actions to be suggested in connection with the detected changes, rates each of the correlated actions according to a combination of individual importance metrics computed for the correlated actions, filters the rated correlated actions to a subset based upon one or more filtering rules and presents in a user interface to the pre-processor each remaining correlated action along with a user interface control adapted to respond to activation by directing the CRM computing system to perform a corresponding correlated action. | 04-07-2016 |
20160104108 | Generating data relating to a supply chain network - An apparatus determines a degree of involvement of each of a plurality of entities of a supply chain network in transports of shipments associated with a particular company, based on data on shipments associated with the company that have been transported in the past. An entity of the supply chain network is a supply chain node or a supply chain lane. The apparatus moreover estimates a relevance of each of the plurality of entities for the company based on the determined degree of involvement of each of the plurality of entities in transports of shipments associated with the company. The apparatus causes storage of an indication of the estimated relevance for at least some of the plurality of entities of the supply chain network for further use. | 04-14-2016 |
20160104176 | VISUALIZING FORECAST DATA - Methods, systems, apparatus, and machine-readable media facilitate visualizing forecast data in a user device. In a device associated with a user, a method is implemented to collect, summarize and display data reported for a user in a summary format according to certain preferences. The method overlays the data in the summary format with a graphical overlay associated with a forecast of the data. Overlaying the data facilitates viewing and interpreting the reported data at a glance, the overlay providing a comparison between the reported data and a forecast represented by the graphical overlay. The method may further include interacting with the displayed data and graphical overlay to adjust/override the forecast. Corresponding methods, systems, apparatus, and machine-readable media for visualizing forecast data can be implemented in servers supporting the user device. | 04-14-2016 |
20160110661 | System and Method for Forecasting of Asset Marketing - A marketing asset forecasting system for determining the spend budget for marketing assets based upon marketing budgets. The present invention can be configured to optimize marketing budgets based upon budget limitations, forecasted revenue, and other limitations. The present invention is configured to forecast revenue across a multiple of marketing assets based upon marketing budgets taking into account seasonality. | 04-21-2016 |
20160110733 | INVENTORY MANAGEMENT SYSTEM - Methods and systems for optimizing inventory management by forecasting Stock Keeping Units (SKUs) to be supplied by a consumer packaged goods (CPG) manufacturer to a retailer are provided. A data receiving module receives marketing data, point of sale data, social-media data, and miscellaneous data from one or more data sources. An analysis module, analyzes the social-media data, computes a social-media score. The analysis module generates one or more variables from the marketing data, the point of sale data and the miscellaneous data. The analysis module transforms the one or more variables and the social-media score into one or more transformed variables. A forecasting module forecasts a demand of the SKUs. The forecasting module determines a probability of the OOS and a replenishment time in order to obtain an optimal solution indicating the SKUs to be supplied by the CPG manufacturer to the retailer. | 04-21-2016 |
20160110734 | DETERMINING DEMAND OF A COMPANY - Techniques for determining a demand of a company within a country for an industry are described herein. The techniques may include determining, via processor of a computing device, a market size for the industry within a country. The techniques may include determining, via the processor, a demand for the company within the industry based on factors. The factors may include an employee value indicating the number of employees of the company. The factors may include a company revenue value indicating a revenue of the company. The factors may include a provided revenue value indicating the revenue provided to a user based on a relationship between the user and the company. | 04-21-2016 |
20160110735 | BIG DATA SOURCING SIMULATOR - A simulator is configured to simulate the fulfillment of orders by nodes. Each node has an inventory of products and is capable of shipping the products to destinations in response to receipt of a corresponding order. The simulator divides the nodes into groups and assigns a different priority to each group based on input provided by a user to the simulator to generate an ordered sequence of priorities. The simulator maintains safety stock data corresponding to each node that indicates minimum quantities of the products required to be present at the corresponding node. The simulator selects a current priority of the sequence and next simulates a first group among the groups having the current priority fulfilling the orders for a given product among the products while a quantity of the given product at each of the nodes in the first group is below the minimum quantity in the corresponding safety stock data. | 04-21-2016 |
20160110736 | ADVISOR AND NOTIFICATION TO REDUCE BILL SHOCK - According to various aspects of the subject technology, systems and methods for identifying whether for a period of time, the weather is a cause for the consumption cost for a user exceeding a threshold cost. The determination can be made by comparing the received weather sensor data for the period of time to baseline weather data. If the weather is identified to be a cause for consumption cost for the user exceeding a threshold cost for the period of time, then a notification can be generated. The notification can indicate that the consumption cost for the user exceeds the threshold cost for the period of time and that weather is a reason for the consumption cost for the user exceeding the threshold costs. As such, the notification can warn the user that a high bill should be expected, thereby reducing bill shock and ensuing call center calls. | 04-21-2016 |
20160117657 | Systems and Methods for Advanced Energy Settlements, Network-Based Messaging, and Applications Supporting the Same - Systems and methods for electric power messaging and settlements including advanced energy settlements, messaging, and applications for electric power supply, load, and/or curtailment and data analytics associated with the same. Systems and methods for providing data analytics and customer or consumer guidance and controls are provided, and coupled with graphic user interfaces for interactive control and command of grid elements, design, specification, construction, management and financial settlement for data centers and/or microgrids, business and residential power consumption, control, management, messaging and settlements, mobile applications, websites, marketing offers, optimal pricing for comparable energy plans, retail electric provider and direct consumer alternatives, network of power architecture, EnergyNet applications, software development kit, and application web-based storefronts. | 04-28-2016 |
20160117698 | System and Method for Context Dependent Streaming Services - What is disclosed is a system to deliver at least one of content and services to a first device based on the first device's context, the system comprising a cloud service coupled to the first device by a network, wherein the cloud service obtains information from the first device over the network; determines context of the first device based on information obtained from the device; assembles a package based on the determined context, said package comprising at least one of content and services; and sends the package to the first device over the network. | 04-28-2016 |
20160125429 | SYSTEM AND METHOD FOR GENERATING MOTIVATON PROFILES OF INDIVIDUALS - A system and computer-implemented method for generating motivation profiles of one or more individuals is provided. The system comprises an administrator interface configured to provide options for configuring default profiles and defining one or more stimuli. The system further comprises a processing module configured to present the one or more defined stimuli to the one or more individuals. The processing module is further configured to receive and process responses to the one or more presented stimuli. Also, the processing module determines if one or more motivational factors associated with the one or more presented stimuli influenced the behavior of the one or more individuals. The processing module further determines degree of influence of each of one or more motivational factors on the one or more individuals. In addition, the processing module is configured to generate motivation profiles of the individuals based on the determined degree of influence. | 05-05-2016 |
20160125433 | METHOD AND SYSTEM FOR DATA FORECASTING USING TIME SERIES VARIABLES - A method for identifying relationships between time series variables includes: storing a plurality of transaction data entries, each including a transaction time and transaction data; receiving a data request including a time period, time interval, a requestor time series variable, and a data value for each interval during the period; calculating for each of a plurality of processor time series variables, a data value for each interval during the period, the data values based on the transaction data and transaction times included in the transaction data entries; identifying a related processor time series variable based on a correspondence between the data value for each interval during the period for the variable and the data value for each interval during the period for the requestor time series variable; and transmitting the identified at least one related processor time series variable and the respective data values for each interval during the period. | 05-05-2016 |
20160125434 | SYSTEM FORECASTING AND IMPROVEMENT USING MEAN FIELD - A set of SKUs is divided into a plurality of different Mean Field clusters, and a tracker (or sensor) is identified for each cluster. Product decisions for each Mean Field cluster are generated based on the tracker (or sensor) and each Mean Field cluster is then deconstructed to obtain product decisions for individual SKUs in the Mean Field cluster. | 05-05-2016 |
20160125435 | INTERROGATION OF MEAN FIELD SYSTEM - A set of SKUs is divided into a plurality of different Mean Field clusters, and a tracker (or sensor) is identified for each cluster. Product decisions for each Mean Field cluster are generated based on the tracker (or sensor) and each Mean Field cluster is then deconstructed to obtain product decisions for individual SKUs in the Mean Field cluster. An interrogation system operates an interpretation of rules that were used to generate the product discussion. | 05-05-2016 |
20160125436 | COMPUTER-READABLE MEDIUM, SYSTEM AND METHOD - A system includes: circuitry configured to receive a condition regarding a constraint condition of a product, acquire past requirement values for the product, predict, for each of a plurality of periods, requirement value for the product by calculating the requirement value for each of the plurality of periods based on the acquired past requirement values, generate, based on the predicted requirement value for each of the plurality of periods, a probability distribution of the constraint condition for each of a plurality of requested arrangements each of which indicates requested quantities of the product for each of the plurality of periods, and output at least one of the plurality of requested arrangements, based on the generated probability distribution and the received condition regarding the constraint condition. | 05-05-2016 |
20160132907 | METHODS, SYSTEMS, AND APPARATUS FOR DATA FORECASTING - Methods, systems, and computer program products for generating a business forecast are described. A specification of a precision level of a forecast is obtained. Data that satisfies the specified precision level of the forecast is identified and a forecast based on the identified data that satisfies the specified precision level of the forecast is generated. | 05-12-2016 |
20160132909 | Systems and Methods for Candidate Tracking - Systems and methods for candidate tracking and fee recovery in accordance with embodiments of the invention are disclosed. In one embodiment, a candidate tracking server system includes a processor and a memory storing a candidate tracking application directing the processor to obtain candidate data describing a candidate, identify at least one publicly available data source system, obtain public activity data for the candidate data from the at least one publicly available data source system, determine current employment status data for the candidate data based on the obtained public activity data, calculate fee opportunity data based on the candidate data, current employment status data, and staffing firm data, determine if the fee opportunity data has been fulfilled, and when the fee opportunity data has not been fulfilled, generate notification data including the fee opportunity data and metadata describing the employer and the staffing firm and provide the generated notification data. | 05-12-2016 |
20160132910 | AUTOMATICALLY DETECTING LOST SALES - One embodiment of a method for detecting a lost sale due to an out-of-shelf condition in a retail environment includes automatically detecting when a customer fails to purchase an expected product, based at least in part on an observation of a current behavior of the customer in the retail environment and on a purchasing history of the customer, and inferring, based on the automatically detecting, that the expected product is out-of-shelf. | 05-12-2016 |
20160132916 | SYSTEM AND METHOD OF DEMAND MODELING AND PRICE CALCULATION BASED ON COMPETITIVE PRESSURE - A method and apparatus for demand modeling and price calculation based on competitive pressure is provided. Data related to a plurality of products related to a product of interest is collected, along with the number of sales, sales price and one or more product attribute values for each of the products. Conversion factors are used to equivalize the plurality of products relative to the product of interest, and attribute weights characterize product relevance to the product of interest. Based on these factors, a competitor pressure model is generated for the product of interest and describes its estimated variation in demand as a function of its variation in price. The competitor pressure model may be used to evaluate the effect of proposed price changes and correct the proposed price changes by calculating an optimal price. | 05-12-2016 |
20160132944 | PARKING FACILITY RESOURCE MANAGEMENT - Technologies are generally described for an information system configured to manage parking facility resources. The system can create and apply models and profiles regarding customers, parking space usage, access patterns, events, traffic, and other factors related to the parking facility. Parking facility operators may use the models to seek optimized revenues or profits. Increased revenue for parking facility operators may be supported by allocating resources to longer staying and better paying customers. New opportunities such as reselling, auctions, or options may further improve revenue generation for parking facilities. Customers may interface with the information system for availability queries, interactive reservation, and various other functions that may improve convenience, security, privacy, and service quality for the customers as well as for neighboring businesses and venues. Improved efficiency in parking facility resource consumption may reduce street traffic congestion. Parking security may be improved by adaptive lighting and camera operation. | 05-12-2016 |
20160132975 | IDENTIFYING HIGH USAGE PERIODS - Methods and systems for identifying high usage periods are provided herein. In one embodiment, a computer-implemented method comprises obtaining usage data covering a period of time, wherein the usage data comprises a plurality of usage values, each usage value indicating an amount of a commodity consumed over a respective time interval. The method also comprises grouping the usage values into a plurality of groups, wherein each group corresponds to a different time period, and, for each group, computing usage for the group based on the usage values in the group. The method further comprises identifying a group from the plurality of groups having a largest computed usage. | 05-12-2016 |
20160140577 | UNIFIED MARKETING MODEL BASED ON CONDUIT VARIABLES - A unified model system for constructing a unified marketing model based on contributing models is provided. The unified model system generates conduit variables from the contributing models by applying each contributing model to the values of input parameters to generate corresponding values output parameters of the contributing mode. The unified model system then generates metrics from the input parameters and the values of the output parameters where metrics correspond to the conduit variable from the contributing models. The unified model then generates the unified marketing model based at least in part on the generated conduit variables from the contributing models and a mapping of values of input parameters of the contributing models for individual consumers to marketing scores for the individual consumers. The unified marketing model can then be used to assist in the analysis of marketing activities. | 05-19-2016 |
20160140583 | DYNAMIC ENSEMBLE MODELING FOR REVENUE FORECASTING - In an approach to revenue forecasting, one or more computer processors retrieve revenue forecast data. The one or more computer processors process the revenue forecast data through one or more revenue forecast models. The one or more computer processors retrieve one or more weights associated with a performance of the one or more revenue forecast models, where each of the one or more weights corresponds to one of the one or more revenue forecast models. The one or more computer processors apply one of the one or more weights associated with the performance of the one or more revenue forecast models to each of a corresponding processed revenue forecast data. The one or more computer processors compute a weighted average revenue forecast. | 05-19-2016 |
20160140584 | EMD-Spectral Prediction (ESP) - A data prediction method to apply to a time series. In some embodiments, the data may be decomposed into a superposition of two or more components, which each represent different facets of the data. In further embodiments presented herein, the data may be decomposed into components representing: slowly-varying oscillations; cyclical and known instantaneous (non-stationary) disturbances; and background stationary noise effects. Each component may then be subjected to its own prediction algorithm. The predicted values of each component may then be composed to obtain a final prediction of the original data. | 05-19-2016 |
20160140585 | SYSTEM AND METHOD FOR MANAGING EXTRA CALENDAR PERIODS IN RETAIL - Systems, methods, and other embodiments for providing management of retail forecasts associated with a computer application are described. In one embodiment, historical demand data associated with a retail item sold at a retail location is read from an input data structure associated with the computer application. A determination is made as to when and where an extra retail period occurs in a forecast time domain. Forecasted demand data is generated for retail periods of the forecast time domain, except the extra retail period, based on the historical demand data. Forecasted demand data is generated for the extra retail period based on a portion of the forecasted demand data for the retail periods of the forecast time domain. An output data structure is transformed by populating the output data structure with the forecasted demand data for the retail periods, including the extra retail period, of the forecast time domain. | 05-19-2016 |
20160140586 | BEHAVIORAL DEMAND RESPONSE USING SUBSTATION METER DATA - Methods and systems for using substation meter data in one or more applications related behavior demand response are provided. In one example application, substation meter data may be used to assess the efficacy of a demand response campaign. In a second example application, substation meter data may be used to provide comparisons of demand response performances of neighborhoods. These applications may be applied independently or in combination. | 05-19-2016 |
20160148223 | FORECASTING WEB METRICS USING STATISTICAL CAUSALITY BASED FEATURE SELECTION - Embodiments of the present invention relate to forecasting metrics, such as web metrics, using causality-based feature selection. In embodiments, a set of potential features from which to generate a forecasting model is referenced. The set of potential features includes lags of observed features. A subset of features is selected, from among the potential features, that causally relate to a target web metric for which a forecast is desired. The selected subset of features causally related to the target web metric is used to generate the forecasting model. Such a forecasting model can be used to forecast an outcome associated with the target web metric. | 05-26-2016 |
20160148224 | Prediction of Consumer Spending - A computer-implemented method for prediction of consumer spending in a specific merchant category, the method comprising: identifying a correlation between the specific merchant category and two or more merchant categories, the two or more merchant categories different from the specific merchant category; selecting one or more merchant categories based on a degree of the correlation; fitting data of the selected one or more merchant categories to a time-series model; and predicting consumer spending in the specific merchant category using the output of the time-series model. | 05-26-2016 |
20160148225 | PRODUCT SALES FORECASTING SYSTEM, METHOD AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM THEREOF - A product sales forecasting system and a product sales forecasting method are provided herein. The product sales forecasting method includes: querying for a first relevant product corresponding to a first product in a relevant product database according to the first product, in which the relevant product database stores products and relevant products corresponding to the products respectively; searching for trading record data and comment data corresponding to the first relevant product in an e-commerce platform according to the first relevant product and a price range corresponding to the first relevant product; generating a forecasted consumer volume corresponding to the first product according to the trading record data and the comment data; and generating a forecasted sales volume corresponding to the first product according to the forecasted consumer volume. | 05-26-2016 |
20160148226 | SYSTEM AND METHOD FOR FORECASTING AND MANAGING RETURNED MERCHANIDSE IN RETAIL - Systems, methods, and other embodiments that are associated with a computer application configured to execute on a computing device, for providing forecasting and management of returned retail items, are described. In one embodiment, historical retail data associated with a retail item sold at a retail location is read from a data structure associated with the computer application. The historical retail data includes sales data and returns data for the retail item over a plurality of retail periods. Based on the historical retail data, a probability is determined and generated for which a percentage of the retail item sold in one retail period will be returned in at least one subsequent retail period. | 05-26-2016 |
20160148227 | SYSTEM AND METHODS FOR DEMAND-DRIVEN TRANSACTIONS - Systems, methods, and apparatus for automatically generating offers for expressions of interest are disclosed. In one aspect, a computer system comprising a network interface, computer memory, a computer processor, and a computer readable storage medium that stores program instructions configured for execution by the computer processor receives an expression of interest from a user device operated by a user. The computer system further analyzes the expression of interest to extract one or more expression characteristics. The computer system further retrieves, from memory, consumer data associated with the user, external data associated with the expression of interest, and internal data associated with one or more past offers previously generated by the computer system. The computer further generates a suggested offered based on the one or more expression characteristics and the retrieved consumer data, external data, and internal data. The computer further transmits the suggested offer to the user device. | 05-26-2016 |
20160148228 | METHODS AND APPARATUS TO PREDICT TIME-SHIFTED EXPOSURE TO MEDIA - Methods, apparatus, systems and articles of manufacture are disclosed to predict time-shifted exposure to media. An example method includes normalizing, with a processor, audience measurement data corresponding to media exposure data and social media activity data. The example method also includes building an estimation model based on a relationship between a first subset of the normalized audience measurement data associated with a characteristic of the media asset and historical rating lift measurements associated with the media asset. The example method also includes estimating, with the processor, current ratings for the media asset based on time-period based ratings and broadcast time-periods. The example method also includes applying data related to the media asset and the estimated current ratings to the estimation model to estimate, with the processor, the ratings lift for the media asset. | 05-26-2016 |
20160148229 | WEATHER-BASED INDUSTRY ANALYSIS SYSTEM - A weather-based industry analysis system that determines one or more correlations between historical industry performance data and historical meteorological data, determines one or more predicted weather conditions, generates an industry forecast based on the one or more predicted weather conditions and the correlation between the historical industry performance data and the predicted weather conditions, and outputs the industry forecast for transmittal to a remote computer system. | 05-26-2016 |
20160148237 | Demand Prediction for Time-Expiring Inventory - This disclosure includes methods for predicting demand based on the price of a time-expiring inventory. An online system provides a connection between a manager of a time-expiring inventory and a plurality of clients. The online system provides a listing for the manager's time-expiring inventory to clients on the online system. The manager specifies the price of the time-expiring inventory in the listing. A demand function predicts the demand for the time-expiring inventory based on features of the listing and the time-expiring inventory. The online system determines a likelihood of receiving a request for the time-expiring inventory from a client on the online system based on the predicted demand. The online system may use the determined likelihoods to provide to the manager information about how changes in the price of the listing are likely to affect the demand for the time-expiring inventory. | 05-26-2016 |
20160155087 | AGRICULTURAL PRODUCTION INFORMATION MANAGEMENT SYSTEM, SERVER DEVICE, AND PROGRAM FOR AGRICULTURAL PRODUCTION INFORMATION MANAGEMENT | 06-02-2016 |
20160155099 | SYSTEMS AND METHODS FOR SELF-SERVICE RECYCLING OF AUTOMOTIVE PARTS | 06-02-2016 |
20160155129 | INFORMATION PROCESSING SYSTEM, SERVER SYSTEM, AND INFORMATION PROCESSING APPARATUS | 06-02-2016 |
20160155137 | DEMAND FORECASTING IN THE PRESENCE OF UNOBSERVED LOST-SALES | 06-02-2016 |
20160162913 | PROVIDING INSIGHTS TO A MERCHANT - Embodiments of the present disclosure relate generally to the generation and presentation of merchant insights to a brick-and-mortar merchant. More specifically, one or more embodiments of the present disclosure relate to detecting and identifying users visiting a merchant's retail location, determining product preferences of the identified users that relate to the merchant, and providing merchant insights to the merchant based on the determined product preferences. | 06-09-2016 |
20160162935 | REMARKETING BASED ON CUSTOMIZED CONSUMPTION INTERVALS - The present disclosure relates, in part, to systems and methods that provide for effectively remarketing a product to a user based on a customized consumption interval. In particular, a system can maintain a social networking profile associated with a user that includes personal information associated with the user. The system can further identify a purchase of a product and generate a customized consumption interval for the product based on the personal information associated with the user. Using the customized consumption interval, the system can more efficiently remarket a product to the user. | 06-09-2016 |
20160180355 | ESTIMATION MODEL FOR ESTIMATING AN ATTRIBUTE OF AN UNKNOWN TARGET | 06-23-2016 |
20160180356 | INTERACTIVE VISUAL STORAGE CAPACITY FORECASTING | 06-23-2016 |
20160180357 | METHOD FOR ESTIMATING CRUDE OIL PRODUCTION | 06-23-2016 |
20160180358 | SYSTEM, METHOD, AND SOFTWARE FOR PREDICTING THE LIKELIHOOD OF SELLING AUTOMOTIVE COMMODITIES | 06-23-2016 |
20160189175 | SYSTEM AND METHOD OF SENSITIVITY-DRIVEN PRICING SERVICE FOR NON-STATIONARY DEMAND MANAGEMENT - Disclosed herein are technologies for demand management by providing a real time prediction model, using an elasticity matrix to quantify price change and demand, group customers based on their demand, set pricing per each group of customers, and optimize distribution. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. | 06-30-2016 |
20160189176 | SYSTEMS AND METHODS FOR RESPONSE RATE DETERMINATION AND OFFER SELECTION - Methods and systems for calculating a current response rate to an offer are disclosed. Examples of offers include but are not limited to design options for a web page and scripts used by operators in a call center. An offer may be served multiple times to one or more users and the current response rate may be determined for a point in time. The method may comprise obtaining estimates of response rate in successive iterations of response rate estimation. Each estimate may be determined over a period of time ending at the point in time, and each estimate may be determined over a larger period of time than the previous estimate. A range of uncertainty may be defined by upper and lower bounds for the estimates of response rate, with at least the first estimate being within the range of uncertainty. Each estimate may be compared to one or both of the upper and lower bounds and the result of the comparison may be used in the selection of one of the estimates as the calculated current response rate. | 06-30-2016 |
20160189177 | Determination of a Purchase Recommendation - A method comprising receiving information indicative of a product candidate attribute selection input that identifies a product candidate attribute comprised by a product candidate, the product candidate attribute corresponding with a product attribute that is comprised by a customer store segment sales model, and the customer store segment sales model comprising a set of customer store segments, causing display of a quadrant image that depicts a set of quadrant representations such that each quadrant representation of the set of quadrant representations represents a customer store segment of the set of customer store segments, causing display of a store count indicator that indicates a store count in response to the product candidate attribute selection input, and causing display of a projected buy quantity indicator that indicates a projected buy quantity in response to the product candidate attribute selection input. | 06-30-2016 |
20160189178 | APPARATUS AND METHOD FOR PREDICTING FUTURE INCREMENTAL REVENUE AND CHURN FROM A RECURRING REVENUE PRODUCT - The embodiments described herein comprise a prediction engine running on a server for receiving a dataset relating to a recurring revenue product, applying algorithms to the dataset to generate a revenue performance index and a churn performance index, and applying the revenue performance index and churn performance index to a known value to generate a prediction of incremental revenue and incremental churn to be generated in the future from the recurring revenue product. | 06-30-2016 |
20160189184 | METHOD AND SYSTEM FOR IDENTIFYING GEOGRAPHIC MARKETS FOR MERCHANT EXPANSION - A method and a system are provided for identifying geographic markets for merchant expansion. In particular, a method and a system are provided for identifying geographic markets for merchant expansion based on the geolocations of the purchasing and payment activities of payment card holders and/or geolocations of residence of the payment card holders. The method and system identify a merchant's best customers, build a look-alike model to the merchant's best customers (best prospect customers), and analyze the best prospect customers' spend at a zip code level to identify geolocations for merchant expansion. Predictive merchant expansion models are generated based on the geolocations of the purchasing and payment activities of the payment card holders and/or geolocations of residence of the payment card holders. | 06-30-2016 |
20160189210 | SYSTEM AND METHOD FOR APPYING DATA MODELING TO IMPROVE PREDICTIVE OUTCOMES - In one or implementations, electronic usage information that is associated with recency, frequency and monetary spending from a plurality of computing devices associated with a user base representing a plurality of users is processed. For example, the electronic usage information is associated with activity, and a portion of the user base is segmented as a function of the associated electronic usage activity. Moreover, using the at least one processor, the associated electronic usage information and the segmented portion of the user base is processed to generate at least one predictive model of future behavior of the segmented portion. Aa respective recommendation of a good and/or service is determined for each of the users in the segmented portion of the user base in accordance with the at least one generated predictive model, and is provided. | 06-30-2016 |
20160191350 | METHOD AND APPARATUS FOR DETERMINING OUTCOMES FROM DEVICE DATA TRAFFIC - Data traffic is analyzed to determine, verify, or project outcomes. The data traffic may be generated by different sources, devices, or object devices. An activity or event may be determined using the analyzed data traffic. Possible outcomes may be determined by utilizing the activity or event. | 06-30-2016 |
20160253688 | SYSTEM AND METHOD OF ANALYZING SOCIAL MEDIA TO PREDICT THE CHURN PROPENSITY OF AN INDIVIDUAL OR COMMUNITY OF CUSTOMERS | 09-01-2016 |
20160379228 | UNIFIED PREDICTIVE RETAIL ECO- SYSTEM FOR GENERATING PREDICTIONS ACROSS A RANGE OF PRODUCTS - Disclosed is a method and system for generating predictions for customers for a range of products in retail sector. The method comprises classifying a product based upon exact values of a decision making feature set to generate a product buy point; b) associating the product to the product buy point and to a number of price ranges; c) partitioning the product buy point into as many affordability partitioned product buy points as the number of price ranges; d) computing a seasonality vector and a frugality vector for the product and for the product buy point based upon an actual sale record of the product; f) unifying the customer preference data from the plurality of sources and generating a customer product matrix; and h) applying a singular vector decomposition technique and a reconstitution technique for find out positive predictions. | 12-29-2016 |
20160379229 | PREDICTING PROJECT OUTCOME BASED ON COMMENTS - In one embodiment, a computer-implemented method includes receiving a set of comments related to a project. One or more sentiment tags are extracted from the set of comments, where each sentiment tag includes an associated sentiment phrase. One or more sentiment scores are assigned to the one or more sentiment tags, with a sentiment score being assigned to each associated sentiment tag. The sentiment score for an associated sentiment tag is selected to represent the strength and polarity of the associated sentiment phrase. The one or more sentiment tags and the one or more sentiment scores are mapped, by a computer processor, to a first prediction for the project. | 12-29-2016 |
20170236136 | PROBABILISTIC PRICE AND SPIKE FORECASTING | 08-17-2017 |
20180025370 | METHOD FOR OPTIMIZING A CONSTRAINED PRODUCT PORTFOLIO TO CAPTURE MAXIMUM TARGET MARKET | 01-25-2018 |
20180025371 | EVENT SPECTATOR CONNECTION TOOL | 01-25-2018 |
20190147462 | HYBRID DEMAND MODEL FOR PROMOTION PLANNING | 05-16-2019 |
20190147463 | SYSTEMS AND METHODS FOR PLANOGRAM GENERATION FOR A FACILITY | 05-16-2019 |
20190147464 | METHOD AND APPARATUS FOR CLEARING ELECTRIC QUANTITY MARKET | 05-16-2019 |
20190147465 | DEMAND PREDICTION SYSTEM AND DEMAND PREDICTION METHOD | 05-16-2019 |
20220138670 | NEED-BASED INVENTORY - Embodiments of the present invention provide a computer system a computer program product, and a method that comprises predicting details associated with collected data of an activity by generating a simulated activity based on a result associated with a plurality of attributes within the collected data associated with the activity; simulating the activity within a virtual reality environment by generating virtual items for assistance with a performance of the simulated activity within the virtual reality environment; in response to receiving user feedback for each generated virtual item based on the simulated activity, generating a need-based inventory from user input based on an analysis of the received user feedback for each respective item associated with the simulated activity within the virtual environment; and automatically obtaining each respective item within the generated need-based inventory. | 05-05-2022 |
20220138778 | METHOD AND SYSTEM FOR USING DEEP VIDEO PREDICTION FOR ECONOMIC FORECASTING - A method for forecasting a change in a market is provided. The method includes: using historical market data to generate a plurality of first images that correspond to a predetermined time sequence; generating, based on the plurality of first images, second images that correspond to a future time point with respect to the predetermined time sequence; and determining a prediction of future market data based on the second images. The generation of the second images and the prediction of the future market data are implemented by applying a convolutional neural network (CNN) algorithm that implements a stochastic latent residual video prediction (SRVP) technique with respect to a group of financial assets. | 05-05-2022 |
20220138779 | DETECTION AND EXPLANATION OF LIFTS IN MERCHANT DATA - A service provider may receive merchant analytics information from a plurality of merchant devices. In some examples, the service provider may generate a model based at least in part on the merchant analytics information, the model including a core set of features for predicting a merchant metric associated with a merchant. The service provider may detect a lift in an observed value of the merchant metric based at least in part on a residual value of the merchant metric at a location of the lift, and add an additional feature to the model to cause a predicted value of the merchant metric to correspond to the observed value of the merchant metric at the location of the lift. The service provider may further send information associated with the feature to a merchant device associated with the merchant. As an example, the information may include a prediction for the merchant metric and/or a recommendation for improving the business of the merchant. | 05-05-2022 |
20220138781 | Quantitative Rating System for Prioritizing Customers by Propensity and Buy Size - Quantitative rating systems and techniques are described that prioritize customers by propensity to buy and buy size to generate customer ratings. In one example, a propensity model is used to determine a likelihood of a potential customer to purchase a product, and a projected timeframe buy size for the potential customer is determined. An expected value for the potential customer is generated by combining the likelihood of the potential customer to purchase the product and the projected timeframe buy size. In another example, a ratio model of annualized recurring revenue (ARR) is used to determine a timeframe buy size for an existing customer in consecutive time frames. An upsell opportunity for the existing customer is determined based on the timeframe buy size less an ARR for a current time frame for the existing customer. A rating of the potential or existing customer is output in a user interface. | 05-05-2022 |