Patent application number | Description | Published |
20140064473 | METHODS AND SYSTEM FOR ANALYZING SEPARATED VOICE DATA OF A TELEPHONIC COMMUNICATION BETWEEN A CUSTOMER AND A CONTACT CENTER BY APPLYING A PSYCHOLOGICAL BEHAVIORAL MODEL THERETO - A method for analyzing a telephonic communication between a customer and a contact center is provided. According to the method, a telephonic communication is separated into at least first constituent voice data and second constituent voice data. One of the first and second constituent voice data is analyzed by mining the voice data and applying a predetermined linguistic-based psychological behavioral model to one of the separated first and second constituent voice data. Behavioral assessment data is generated which corresponds to the analyzed voice data. | 03-06-2014 |
20140136194 | METHODS AND APPARATUS FOR IDENTIFYING FRAUDULENT CALLERS - The methods, apparatus, and systems described herein are designed to identify fraudulent callers. A voice print of a call is created and compared to known voice prints to determine if it matches one or more of the known voice prints. The methods include a pre-processing step to separate speech from non-speech, selecting a number of elements that affect the voice print the most, and/or computing an adjustment factor based on the scores of each received voice print against known voice prints. | 05-15-2014 |
20140249872 | CUSTOMER-BASED INTERACTION OUTCOME PREDICTION METHODS AND SYSTEM - A method for customer-based outcome prediction that includes receiving recordings of interactions with customers in a customer group, analyzing the recordings of the interactions to generate interaction data, and building a predictive model using the interaction data, the predictive model identifying a variable relevant to predicting a likelihood of an identified outcome occurring in association with future interactions with customers in the customer group. The method also includes receiving a recording of a current interaction with a first customer, the first customer being in the customer group and analyzing the recording of the current interaction with the first customer to generate current interaction data. Further, the method includes adding the current interaction data to a first customer profile associated with the first customer and applying the predictive model to the first customer profile to predict the likelihood of the identified outcome occurring in association with the current interaction. | 09-04-2014 |
20140249873 | CUSTOMER-BASED INTERACTION OUTCOME PREDICTION METHODS AND SYSTEM - A method for customer-based outcome prediction that includes receiving recordings of interactions with customers in a customer group, analyzing the recordings of the interactions to generate interaction data, and building a predictive model using the interaction data, the predictive model identifying a variable relevant to predicting a likelihood of an identified outcome occurring in association with future interactions with customers in the customer group. The method also includes receiving a recording of a current interaction with a first customer, the first customer being in the customer group and analyzing the recording of the current interaction with the first customer to generate current interaction data. Further, the method includes adding the current interaction data to a first customer profile associated with the first customer and applying the predictive model to the first customer profile to predict the likelihood of the identified outcome occurring in association with the current interaction. | 09-04-2014 |
20140270133 | REAL-TIME PREDICTIVE ROUTING - The methods, apparatus, and systems described herein are designed to route customer communications to the best available agent. The methods include predicting a personality type of the customer, determining the occupancy level of agents to provide a list of available agents, providing a routing recommendation based on the predicted personality type of the customer and agent data such as proficiency in handling customers with the predicted personality type, and/or analyzing real-time customer-agent interactions. | 09-18-2014 |
20140270139 | METHODS AND SYSTEM FOR ANALYZING MULTICHANNEL ELECTRONIC COMMUNICATION DATA - A method and system for analyzing electronic communication data is provided. In one embodiment, a method includes receiving electronic customer communication data by a contact center, analyzing the electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data, and generating behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data. In one or more embodiments, electronic customer communication data may be one or more of electronic-mail data, web content data, text message data, voice over IP data, online forum data, social media data, update status, media feed, social media review, social media data stream. In other embodiments, electronic customer communication data may include data received during a customer communication with a graphical user interface for the contact center. | 09-18-2014 |
20140270140 | METHODS AND SYSTEM FOR ANALYZING MULTICHANNEL ELECTRONIC COMMUNICATION DATA - A method and system for analyzing electronic communication data is provided. In one embodiment, a method includes receiving electronic customer communication data by a contact center, analyzing the electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data, and generating behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data. In one or more embodiments, electronic customer communication data may be one or more of electronic-mail data, web content data, text message data, voice over IP data, online forum data, social media data, update status, media feed, social media review, social media data stream. In other embodiments, electronic customer communication data may include data received during a customer communication with a graphical user interface for the contact center. | 09-18-2014 |
20140294172 | METHOD AND SYSTEM FOR AUTOMATICALLY ROUTING A TELEPHONIC COMMUNICATION - A method for automatically routing a telephonic communication to at least one of a plurality of communication destination addresses is provided. The method is implemented by a computer readable medium having a plurality of code segments. The method comprises the step of receiving customer identifier and communicating with a customer history database configured to store historic data. The method also includes determining whether the received customer identifier corresponds to a stored customer identifier in the customer history database. Historic data corresponding to the stored customer number is identified based on the comparison of the received customer identifier and the stored customer identifier. The telephonic communication is associated with a predetermined communication destination based on the identified historic data. The associated communication data is transmitted to a switching signal. | 10-02-2014 |
20140301541 | METHOD AND SYSTEM FOR ANALYZING A COMMUNICATION BY APPLYING A BEHAVIORAL MODEL THERETO - A method for analyzing a telephonic communication between a customer and a contact center is provided. According to the method, a telephonic communication is separated into at least first constituent voice data and second constituent voice data. One of the first and second constituent voice data is analyzed by mining the voice data and applying a predetermined linguistic-based psychological behavioral model to one of the separated first and second constituent voice data. Behavioral assessment data is generated which corresponds to the analyzed voice data. | 10-09-2014 |
20140355748 | OPTIMIZED PREDICTIVE ROUTING AND METHODS - The methods, apparatus, and systems described herein facilitate optimizing routing decisions. The methods include retrieving and/or predicting a profile of a current customer and future customers, determining which agents are currently available and which agents are expected to be available, and providing a routing recommendation based on the profile retrieval or prediction for the current customer and the future customers, and the currently available agents' and expected available agents' proficiency at handling customers with the retrieved and/or predicted profiles. | 12-04-2014 |
20140355749 | OPTIMIZED PREDICTIVE ROUTING AND METHODS - The methods, apparatus, and systems described herein facilitate optimizing routing decisions. The methods include retrieving and/or predicting a profile of a current customer and future customers, determining which agents are currently available and which agents are expected to be available, and providing a routing recommendation based on the profile retrieval or prediction for the current customer and the future customers, and the currently available agents' and expected available agents' proficiency at handling customers with the retrieved and/or predicted profiles. | 12-04-2014 |
20150036815 | REAL-TIME PREDICTIVE ROUTING - The methods, apparatus, and systems described herein are designed to route customer communications to the best agent or best available agent The methods include receiving a customer communication, predicting a personality type of the customer associated with the customer communication, and providing a routing recommendation to route the customer to an agent based on the personality type prediction and historical customer data. | 02-05-2015 |
20150036816 | METHOD AND SYSTEM FOR AUTOMATICALLY ROUTING A TELEPHONIC COMMUNICATION - A method for automatically routing a telephonic communication to at least one of a plurality of communication destination addresses is provided. The method is implemented by a computer readable medium having a plurality of code segments. The method comprises the step of receiving customer identifier and communicating with a customer history database configured to store historic data. The method also includes determining whether the received customer identifier corresponds to a stored customer identifier in the customer history database. Historic data corresponding to the stored customer number is identified based on the comparison of the received customer identifier and the stored customer identifier. The telephonic communication is associated with a predetermined communication destination based on the identified historic data. The associated communication data is transmitted to a switching signal. | 02-05-2015 |