LOCU, INC. Patent applications |
Patent application number | Title | Published |
20150278828 | MARKET ANALYSIS FOR AN ONLINE BUSINESS - A method for performing a market analysis for a first online business is disclosed. Market information for a plurality of online businesses may be collected. A user may request a market analysis for the first online business. Market information for the first online business may also be collected. The marketing information for the plurality of online businesses and the first online business may be canonicalized to make comparisons easier. One or more online businesses in the plurality of online businesses may be selected as being similar to the first online business. The marketing information for the first online business may be compared to the marketing information of the similar one or more online businesses. The results of the comparison may be displayed to the user. The user may request modifications to the first online business. The first online business may be modified and the modified online business may be published. | 10-01-2015 |
20140330672 | SYSTEM FOR MANAGEMENT OF ONLINE ORDERING - A system and method for automatically submitting an online order from a customer to a restaurant. Input data and customer data is used by an order engine to select a deployment platform, such as social media networks, search engines, mobile applications, and related websites, for a user interface. The user interface automatically populates the restaurant's menu options and business data, allowing the customer to build an order. The order engine submits the order to the restaurant via a non-verbal communication platform. An automated confirmation call is generated to the restaurant confirming receipt of the order. From the confirmation call the restaurant may choose to repeat the message, accept the order, connect to the customer, connect to the service provider, decline the order, or opt-out. The order engine allows the restaurant to monitor online orders and to enroll in the above services for subsequent online orders. | 11-06-2014 |
20140330671 | METHOD FOR MANAGEMENT OF ONLINE ORDERING - A system and method for automatically submitting an online order from a customer to a restaurant. Input data and customer data is used by an order engine to select a deployment platform, such as social media networks, search engines, mobile applications, and related websites, for a user interface. The user interface automatically populates the restaurant's menu options and business data, allowing the customer to build an order. The order engine submits the order to the restaurant via a non-verbal communication platform. An automated confirmation call is generated to the restaurant confirming receipt of the order. From the confirmation call the restaurant may choose to repeat the message, accept the order, connect to the customer, connect to the service provider, decline the order, or opt-out. The order engine allows the restaurant to monitor online orders and to enroll in the above services for subsequent online orders. | 11-06-2014 |
20140330646 | SYSTEM AND METHOD FOR ACTIVATION OF MARKETING ALLOCATIONS USING SEARCH KEYWORDS - A system and method for automatically assigning marketing allocations, including advertisements and coupons, for a business to marketing channels. An investment engine and recommendation engine uses input data to assign marketing allocations to marketing channels. Consumer activity is generated that produces corresponding output data. The investment engine calculates a return-on-investment (ROI) metric, and the recommendation engine generates a report related to the input and output data. The input data, marketing allocations or channels are adjusted to optimize the ROI metric and recommend marketing campaign strategies. The system also automatically determines which keywords the business should assign their marketing allocations to when a consumer utilizes similar keywords on a search engine. Targeted keywords are determined by applying budget weights to keywords related to the business and monitoring output data, such as a click through rate of the marketing allocations. Keywords with higher click through rates receive higher budget weights. | 11-06-2014 |
20140330638 | SYSTEM AND METHOD FOR MANAGEMENT OF MARKETING ALLOCATIONS USING A RETURN ON INVESTMENT METRIC - A system and method for automatically assigning marketing allocations, including advertisements and coupons, for a business to marketing channels. An investment engine and recommendation engine uses input data to assign marketing allocations to marketing channels. Consumer activity is generated that produces corresponding output data. The investment engine calculates a return-on-investment (ROI) metric, and the recommendation engine generates a report related to the input and output data. The input data, marketing allocations or channels are adjusted to optimize the ROI metric and recommend marketing campaign strategies. The system also automatically determines which keywords the business should assign their marketing allocations to when a consumer utilizes similar keywords on a search engine. Targeted keywords are determined by applying budget weights to keywords related to the business and monitoring output data, such as a click through rate of the marketing allocations. Keywords with higher click through rates receive higher budget weights. | 11-06-2014 |
20140195312 | SYSTEM AND METHOD FOR MANAGEMENT OF PROCESSING WORKERS - A system and method for automatically determining an amount of review a crowd-sourcing task needs after an initial review has been completed by a processing worker. An evaluation metric is automatically assigned to the work performed by the processing worker to determine the appropriate amount of human review required for a particular task. The evaluation metric may be calculated by accessing and evaluating a plurality of transaction categories related, but not limited to, worker characteristics, document characteristics and processing characteristics. Additionally, the evaluation metric may be used to determine compensation of the processing worker and whether a promotion or demotion is necessary. The system is also capable of balancing individual workloads based upon the evaluation metric. | 07-10-2014 |
20130067319 | Method and Apparatus for Forming a Structured Document from Unstructured Information - Illustrative embodiments improve upon prior machine learning techniques by introducing an additional classification layer that mimics human visual pattern recognition. Building upon classification passes that extract contextual information, illustrative embodiments look for hints of high-level semantic categorization that manifest as visual artifacts in the document, such as font family, font weight, text color, text justification, white space, or CSS class name. An improved lightweight markup language enables display of machine-categorized tokens on a screen for human correction, thereby providing ground truths for further machine classification. | 03-14-2013 |