Abstract: A method for automatically routing a telephonic communication is provided, and includes receiving a customer identifier and communicating with a customer history database storing historic data and determining whether the received customer identifier corresponds to a stored customer identifier in the customer history database, wherein the customer profile included in the stored historic data is based on a portion of a customer's demographic identity. 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.

Abstract: An interface portal system that includes a non-transitory computer readable medium having a plurality of stored instructions adapted to generate a coaching portal based on behavioral assessment data, the plurality of instructions including instructions that, when executed, analyze one or more communications between a customer and an agent, wherein the analysis comprises instructions that, when executed, apply a linguistic-based psychological behavioral model to separated voice data for the customer, the agent, or both, from each communication by analyzing behavioral characteristics of the customer, the agent, or both, based on the one or more communications; instructions that, when executed, identify one or more customer-agent interaction events based on the analyzed behavioral characteristics; and instructions that, when executed, display a time-based graphic representation across a selected time interval based on one or more communications.

Abstract: The methods, apparatus, and systems described herein relate to routing based on customer satisfaction, and include receiving a communication from a customer; retrieving or predicting a first profile of the customer; returning a list of currently available agents and expected available agents, wherein the currently available agents exclude agents that exceed a predetermined work threshold; determining, for each currently available agent and each expected available agent, a proficiency score for handling a customer with the first profile; determining that an expected available agent has a higher proficiency score than a currently available agent; and providing a routing recommendation based on the determined higher proficiency score that will route the customer communication via a communication distributor to the expected available agent.

Abstract: A method for analyzing caller interaction events that includes receiving, by a processor, a caller interaction event between an agent and a caller, extracting, by a processor, caller event data from the caller interaction event, analyzing, by a processor, the caller event data, and generating, by a processor, a report displaying one or more selected categories of the caller event data. Systems and non-transitory, computer readable media that control an executable computer readable program code embodied therein, are also described.

Abstract: Methods, behavioral assessment computer program products, and systems for analyzing electronic customer communication data, generating behavioral assessment data and displaying instructions to a user that include receiving a plurality of types of electronic customer communication data by one or more servers configured to provide a user interface including a web site, web portal, or virtual portal or application, wherein at least one of the types of electronic communication data includes voice data, generating a text file from the voice data, identifying a customer associated with the electronic communication data received by the one or more servers, generating behavioral assessment data for the electronic communication data for that identified customer by analyzing the customer's electronic communication data, and displaying instructions to a user via a reporting engine, wherein the instructions are based on the generated behavioral assessment data, and wherein the user includes the identified customer or a c

Abstract: 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 demographic profile of the customer associated with the customer communication, monitoring real-time agent performance data and modifying a predetermined work threshold based on the real-time agent performance data, and providing a routing recommendation to route the customer to an agent based on the prediction and historical customer data for agents who have not exceeded the predetermined work threshold.

Abstract: The methods, apparatus, and systems described herein relate to routing based on customer satisfaction, and include receiving the customer communication; retrieving or predicting a first profile of a customer associated with a customer communication, wherein the retrieved or predicted profile includes a customer satisfaction score; predicting a second profile of a future customer; providing a list of currently available and expected available agents, wherein the currently available agents are selected by including only agents that exceed a predetermined work threshold based on an average customer satisfaction score determined over a selected time period; providing a routing recommendation to a communication distributor based on the retrieved or predicted first profile, the predicted second profile, and currently available agents' and expected available agents' proficiency at handling customers with the retrieved or predicted first and second profiles, wherein the communication distributor routes the communicat

Abstract: The methods, apparatus, and systems described herein assist a user with a request. The methods in part retrieve or determine a personality type of the user from three or more personality types based on one or more user communications, determine a set of outputs based on the user communication, rank outputs based on the user's personality, engage with an external service to perform an action based on the communication, and determine a distress level or engagement level of the user, or both, based on the ranked and selected output and the modality of delivery, and weight the ranked and selected outputs for one or more future interactions with the user.

Abstract: The methods, apparatus, non-transitory computer readable media, and systems described herein include recording a mono recording of a face-to-face communication between an agent and a customer using a microphone, wherein the mono recording is unseparated and includes agent voice data and customer voice data, separately recording the agent voice data in an agent recording using a second microphone; aligning the unseparated mono recording and the agent recording so they are time-synched; subtracting agent voice data from the unseparated mono recording using the agent recording to provide a separated recording including only customer voice data, wherein the agent voice data is subtracted from the unseparated mono recording based on the alignment, sound frequency analysis, or both; converting at least the customer voice data to text; and determining a personality type of the customer by applying one or more computer-implemented linguistic algorithms to the text of the customer voice data.

Abstract: 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.

Abstract: 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, and to transaction data associated with a database of 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.

Abstract: The methods, apparatus, and systems described herein facilitate decision-making by providing predictions of student outcomes and behaviors. The methods include receiving a communication posted by a student, identifying keywords in text of the communication associated with one or more student metrics, scoring the communication for at least one student metric, and predicting a likelihood of a student outcome based on the score.

Abstract: Methods, apparatus, and systems for analyzing data trends are described herein. The present disclosure includes the identification of trending terms in data through the use of an unsupervised algorithm. Trends are identified and counted during a first and second time period. The frequency and co-occurrence of groups of terms is compared to determine a set of trending terms without reference to a library of pre-defined terms. The set of trending terms is displayed to a user.

Abstract: A method for automatically routing a telephonic communication is provided, and includes receiving a customer identifier and communicating with a customer history database storing historic data and determining whether the received customer identifier corresponds to a stored customer identifier in the customer history database, wherein the customer profile included in the stored historic data is based on a portion of a customer's demographic identity. 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.

Abstract: A method of generating a customer satisfaction score based on behavioral assessment data across one or more recorded communications, which includes analyzing one or more communications between a customer and an agent by applying a linguistic-based psychological behavioral model to each communication to determine a personality type of the customer, selecting at least one filter criterion which comprises a customer, an agent, a team, or a call type, calculating a customer satisfaction score using the at least one selected filter criterion across a selected time interval and based on one or more communications, and displaying a report including the calculated customer satisfaction score to a user that matches the at least one selected filter criterion for the selected time interval. Systems and non-transitory computer readable media configured to generate a customer satisfaction score based on behavioral assessment data are also included.

Abstract: Methods, customer-responsive computer program product, and system for analyzing electronic customer communication data, generating behavioral assessment data and generating a responsive communication that includes receiving, by a server, electronic customer communication data of two or more types, determining customer identification data associated with the electronic customer communication data by the server, analyzing the electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data, 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, generating a responsive communication based on the generated behavioral assessment data, and providing the responsive electronic communication via a user interface.

Abstract: The methods, apparatus, and systems described herein facilitate dynamic occupancy routing decisions.

Abstract: A method for providing a responsive communication to a communicant, including receiving, by a control processor, a single electronic voice communication from a communicant; transcribing the electronic voice communication to text; analyzing, by a processor, the text of the electronic voice communication by mining the text and applying a predetermined linguistic-based psychological behavioral model to the text of the electronic voice communication; generating, by a processor, behavioral assessment data including a personality type corresponding to the analyzed text of the electronic voice communication; generating, by a processor, event data based on the analyzed text of the electronic voice communication; and generating, by a processor, a responsive communication based on the event data. Systems and non-transitory, computer readable media that control an executable computer readable program code embodied therein, are also described.

Abstract: 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 demographic profile of the customer associated with the customer communication, and providing a routing recommendation to route the customer to an agent based on the prediction and historical customer data.

Abstract: The methods, apparatus, and systems described herein analyze mono-recorded customer-agent communications to apply distress analysis techniques to identify one or more distress events. The methods include recording a mono recording of a communication between an agent and a customer, separately recording the agent voice data in an agent recording, subtracting agent voice data from the mono recording using the agent recording to provide a separated recording including only customer voice data, convening at least the customer voice data to text, and applying distress analysis to a portion of the communication to identify one or more distress events.