Abstract: Disclosed is a telephone call-back device that can provide a means for the recipient of a robocall incoming phone call to take action. The telephone call-back device includes an activation device, a call source utility, and a call-back utility. The activation device is a button or switch that a user can activate when they receive a robocall. Once the activation device is activated, the call source utility identifies a source phone number of the robocall incoming phone call. The call-back utility initiates one or more robo call-back outgoing phone calls to be sent to the source phone number. The call-back utility can be programmed to try to send many robo call-back outgoing phone calls to the source phone number to try to swamp the phone number with robo call-back outgoing phone calls.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for scheduling a call to be automatically initiated between users. The program and method provide for receiving, from a first device associated with a first user, a request for a call to be automatically initiated, at a scheduled time, between the first device and a second device corresponding to a second user; providing, to the second device and in response to the receiving, an invitation to participate in the call; receiving, from the second device and in response to the providing, an acceptance of the invitation; and providing for automatically initiating the call between the first device and the second device at the scheduled time.

Abstract: Systems and methods for a work distribution service. At a multi-tenant platform that provides a work distribution service for a plurality of external systems, a priority is assigned to a first work item of a first external system. The work item is received via a RESTful work item API call request. The priority is assigned based on work item attributes of the work item and a workflow instruction corresponding to workflow information specified by the work item. The workflow instruction is provided by the external system via a RESTful Workflow API. A worker is assigned to the work item based on: the priority of the work item, the workflow information, and worker state managed by the first external system via a RESTful Worker API. The worker state includes worker attributes. The work item is generated by the external system, and the workflow instruction is managed by the external system.

Abstract: The disclosure provides a communication method. The method includes: receiving a call request forwarded by an operator server, the call request being sent by a calling terminal to the operator server; generating a transferring instruction in response to the call request being a crank call; and sending the transferring instruction to the operator server, such that the operator server establishes a call connection between the calling terminal and a smart device based on the transferring instruction.

Abstract: Techniques are described herein for routing customer support requests via a vertical stack queue. The techniques may include receiving a request for customer support from a user device and identifying a group of agents available to serve the request. The group is associated with a stack queue, and the request is routed to a first level of contact queue pool that includes the group. Upon determining whether a wait time associated the stack queue at the first level of contact queue pool exceeds a predetermined threshold, an additional group of agents to serve the request is identified in addition to the group of the plurality of groups of agents. The group and an additional group of agents are distinct from each other. Upon identifying the additional group, the request is routed to a second level of contact queue pool that includes the additional group of agents.

Abstract: In some implementations, a cloud computing system that executes a function may receive an indication of an electronic communication to occur between a customer and an agent. The cloud computing system that executes the function may determine a classification of the electronic communication based on a first set of rules stored in a database of the cloud computing system and attributes associated with the electronic communication. The cloud computing system that executes the function may select, based on the classification of the electronic communication, a target queue from a plurality of potential queues to be associated with the electronic communication based on a second set of rules stored in the database. The cloud computing system that executes the function may select the agent from a plurality of potential agents for the electronic communication based on an association between the agent and the target queue.

Abstract: Techniques are described herein for evaluating customer support sessions to identify active listening. The techniques include receiving a recording of a customer service support session from a customer support terminal, which is associated with a representative identifier of a customer service representative. The customer service support session includes one or more segments, and a plurality of active listening factor scores is calculated and averaged to determine an active listening factor score for each of the one or more segments. The plurality of active listening factor scores corresponds to different active listening attributes demonstrated by the customer service representative. The active listening factor score for each of the one or more segments are averaged to determine a session score, which is associated with the representative identifier. The session score can be used to present one or more support suggestions for the customer service representative in a support tool.

Abstract: An analytics system to analyze and report customer experience, comprising a customer interface device, an analysis server which analyzes data from a customer and a machine, and the database which is connected to the customer interface device and to the analysis server wherein the database receives data from the customer interface device, and/or the analysis server. The analytics system analyzes and reports customer experience.

Abstract: A system is provided for interpreting conversation profile records and generating sales task. The system includes a data store having a plurality of data items including conversation profile data and consumer product data and a resource management module configured to evaluate the data items and create a plurality of sales representative tasks and assign to each task at least one of a customer, a product, a sales representative, at least one action plan queue, and a priority level according to the evaluation. The evaluation of the data items can include identifying patterns between the data items.

Abstract: The present invention is a system and method of routing incoming communications to a CSR and providing guidance to the CSR based on the incoming communication using feedback information such as sentiment feedback, survey feedback, and feedback from actions taken by CSRs based on skill level. A CEC system receives an incoming communication, analyzes the communication and creates metadata based off of the analysis. The metadata is used by the RAE routing module to route the communication to an appropriate party. The metadata is also used by the GAE guidance module to determine the guidance to provide to the CSR. The CSR then performs an action based on the guidance. The CEC system continues to monitor the interaction until the interaction is completed. The communication metadata, the communication, the guidance, and the CSRs action are all provided to a RAS rules analysis module wherein the RAS analyzes the data and automatedly updates the rules (RAR and GAR) according to the analysis.

Abstract: Method for managing a promises management apparatus comprises automatically transcribing, using an automatic speech recognition engine, a call between a caller and an agent, based on real-time call stream of the call, wherein the caller calls the agent for resolution of a concern using the promises management apparatus. The method comprises automatically extracting, using a natural language processing engine, in real-time a promise made by the agent to the caller based on the transcript of the call, generating promises data by assigning an agent, a type, a timeline, an action, and a mode of execution to the promise, and storing the promises data in a datastore.

Abstract: Techniques for error handling in a task assignment system with an external pairing system are disclosed. In one particular embodiment, the techniques may be realized as a method for error handling in a task assignment system with an external pairing system comprising transmitting a request for the external pairing system to select a first pairing between one or more tasks awaiting assignment and one or more agents available for assignment, the first pairing to be selected according to a first pairing strategy; determining a timeout window to wait for the external pairing system to provide a response that identifies the first pairing; detecting an expiration of the timeout window without receiving the response; and, in response to detecting the expiration of the timeout window, selecting a second pairing between the one or more tasks and the one or more agents, the second pairing being selected according to a second pairing strategy.

Abstract: A computer-implemented method for proactive fraudster exposure in a customer service center according to content analysis and voice biometrics analysis, is provided herein. The computer-implemented method includes: (i) performing a first type analysis to cluster the call interactions into ranked clusters and storing the ranked clusters in a clusters database; (ii) performing a second type analysis on a predefined amount of the highest ranked clusters, into ranked clusters and storing the ranked clusters; the first type analysis is a content analysis and the second type analysis is a voice biometrics analysis, or vice versa; (iii) retrieving from the ranked clusters, a list of fraudsters; and (iv) transmitting the list of potential fraudsters to an application to display to a user said list of potential fraudsters via a display unit.

Abstract: A hearing device includes: a multi-chip assembly including a plurality of integrated circuit chips, the plurality of integrated circuit chips including one or a combination of a wireless communication chip, a power management chip, and a signal processing chip; wherein the multi-chip assembly comprises: a first layer having a surface, a spacer layer being configured to accommodate one or more of the plurality of integrated circuit chips as one or more embedded chips, and a ground layer below the first layer and the spacer layer, and a first shielding layer between the spacer layer and the first layer.

Abstract: Filtering incoming calls according to predicted preferences of a user. User preferences are predicted by analysis of user behavior, online activity, oral queues, and purchasing history. Data analysis includes weighting caller and user attributes according to a scheme that is dynamically updated by applying user feedback and/or machine learning processes.

Abstract: The present invention is a system and method of routing incoming communications to a CSR and providing guidance to the CSR based on the incoming communication using feedback information such as sentiment feedback, survey feedback, and feedback from actions taken by CSRs based on skill level. A CEC system receives an incoming communication, analyzes the communication and creates metadata based off of the analysis. The metadata is used by the RAE routing module to route the communication to an appropriate party. The metadata is also used by the GAE guidance module to determine the guidance to provide to the CSR. The CSR then performs an action based on the guidance. The CEC system continues to monitor the interaction until the interaction is completed. The communication metadata, the communication, the guidance, and the CSRs action are all provided to a RAS rules analysis module wherein the RAS analyzes the data and automatedly updates the rules (RAR and GAR) according to the analysis.

Abstract: Systems and methods are provided for generating, processing and distributing leads, the system comprising a leads processing engine for receiving customer requests, creating leads based upon the customer requests, determining a best available agent or agents for each lead from a pool of available agents based upon one or more selected factors, and offering and/or sending each lead to the best available agent or agents.

Abstract: Implementations are directed to using an assistant to initiate automated telephone calls with entities. Some implementations identify an item of interest, identify a group of entities associated with the item, and initiate the calls with the entities. During a given call with a given entity, the assistant can request a status update regarding the item, and determine a temporal delay before initiating another call with the given entity to request a further status update regarding the item based on information received responsive to the request. Other implementations receive a request to perform an action on behalf of a user, identify a group of entities that can perform the action, and initiate a given call with a given entity. During the given call, the assistant can initiate an additional call with an additional entity, and generate notification(s), for the user, based on result(s) of the given call and/or the additional call.

Abstract: Systems and methods receiving performance data associated with a call center network; utilizing the performance data to create a model of the call center network; employing the model to run a simulation of the call center network that generates performance data associated with the model; using the model to generate solution parameters for the call center network; and providing the solution parameters to the call center network implementation in the call center network.

Abstract: A method for creating a textual summary of a call includes transcribing speech to text in real time using a speech-to-text generating unit configured for execution upon one or more data processors, automatically matching, in real-time, text to predetermined intents and extracted entities using an intent recognizing unit for execution upon the one or more data processors, automatically mapping the predetermined intents and extracted entities into a call summary using one or more mapping functions, and displaying the call summary using an agent user interface for execution upon the one or more data processors. A contact center call summarization system may include a contact center communication device, a speech-to-text generating unit, an intent recognizing unit, and an agent user interface.