Abstract: A system and method provide an automation solution for guiding a contact center agent during a communication session by providing contextual in-line assistance. Robotic process automation (RPA) is used for automating workflows and processes with robots that capture information from multiple applications of a contact center system and generate contextual guidance for the contact center agent via callout activities during the communication session.

Abstract: The invention provides a sound generator having a frame, a vibration system and a magnetic circuit system carried by the frame. The vibration system includes a diaphragm, a coil and an elastic support assembly. The diaphragm includes a first suspension ring fixed with the frame, a first dome at a center of the first suspension ring, and a second dome stacked on the first dome. The first dome includes a main body, a first wall, and a second wall extending perpendicularly from the first wall for connecting to the coil via the first wall. The first wall is connected to a side surface of the coil. The first wall and the second wall are used for elastically suspending the coil below the diaphragm. Thus, the sound generator has improved high frequency performance.

Abstract: A system obtains conversation data corresponding to conversations between users and agents of a client. The system identifies a set of intents from the conversations and identifies a set of contexts, explicit elements, and implied elements of these intents. The system identifies actions that can be performed to recognize new explicit and implied elements from new conversations and to address intents in these new conversations. Based on these actions, the system generates a set of recommendations that can be provided to the client. As agents communicate with users, the system monitors adherence to the set of recommendations.

Abstract: Among other things, systems and methods include a first sensor configured to detect operation of the sink; a second sensor configured to detect personal characteristics of a person operating the sink.

Abstract: A computer-implemented method for automating actions for a customer in relation to an interaction between the customer and an agent of a contact center, the interaction including an exchange of statements made by the customer and agent. The method includes the steps of: receiving a transcript of the interaction; via a first analysis, analyzing the transcript; from results of the first analysis, identifying: a pending action, wherein the pending action is an action promised by the customer or agent that will be resolved after the interaction; and a target timeframe for resolving the pending action; given the pending action, determining a follow-up workflow that includes one or more follow-up actions, each of the one or more follow-up actions comprising an action intended to assist the customer to resolve the pending action; and automatically executing the one or more follow-up actions.

Abstract: A local terminal is operable to display a user interface on a display of the terminal. The user interface includes a site information button. The local terminal is operable to receive a user input that corresponds to a user pressing the site information button. The local terminal is further operable to retrieve site information from a memory of the local terminal. The site information includes diagnostic information for the local terminal.

Abstract: Techniques for sharing control of assigning tasks between an external pairing system and a task assignment system with an internal pairing system are disclosed. In one embodiment, the techniques may be realized as a method for sharing control of assigning tasks between an external pairing system and a task assignment system with an internal pairing system comprising receiving, from the task assignment system, a plurality of task pairing requests and an agent pairing request, wherein each task request of the plurality of task pairing requests is assigned to one of a first pairing strategy and a second pairing strategy. The agent pairing request may indicate an agent that is available for pairing. The method may further comprise transmitting, to the task assignment system, a pairing recommendation being based in part on the plurality of task pairing requests, the first pairing strategy, the second pairing strategy, and the agent pairing request.

Abstract: A method for reducing costs associated with fraudulent call activity is provided. The method includes receiving data associated with usage of a telecommunications number. The method further includes analyzing the data to determine that the usage of the telecommunications number is indicative of a fraudulent call activity. The method further includes assigning a call route to the telecommunications number adapted to reduce a cost associated with the fraudulent call activity.

Abstract: A display apparatus includes a display panel including a display area configured to display an image, and a non-display area, at least one first sound generator in the display area, and at least one second sound generator in the non-display area, wherein each of the at least one first sound generator and the at least one second sound generator is configured to vibrate the display panel to generate sound toward a front of the display panel.

Abstract: Agents of a contact center may utilize a text channel (e.g., text chat, email, etc.) to communicate with a customer. A processor monitors the keystrokes entered by the agent. If the agent is found to have entered keystrokes beyond a previously determined threshold, and subsequently deleted the resulting test and replaced it with another test, a deficiency may be determined to be present. When a deficiency is present, the processor may initiate a remediation action.

Abstract: Machine learning technology can analyze in real-time the data from a call between a person and a customer service representative. Based on this analysis, a server can determine a sentiment score that describes a sentiment expressed by the person or the customer service representative. If the server determines that the sentiment score is less than or equal to a pre-determined value, the server can inform the customer service representative's manager so that the manager can take further action to help the person and/or the customer service representative.

Abstract: A customer service representative troubleshoots a software application on a mobile subscriber's user device (e.g., a mobile phone) by receiving configuration and settings information of the software application on the user device and then running a copy or instance of the software application on an emulator or in an emulation environment that simulates the user device, using the configuration and settings information. The customer service representative can then communicate emulation results and recommendations for revised software application configuration settings to the mobile subscriber, for example via the user device. In example embodiments the software application instance on the emulator does not use personal or private data of the mobile subscriber, for example content data in the software application instance that is on the user device.

Abstract: Methods and systems for routing calls based on a minimum expected delay, classification, and priority of the call are provided. In some embodiments, when a call is received, the call is classified and prioritized within the classification. A minimum expected delay time is determined. Based on the minimum expected delay time, the classification, and the prioritization, the call is routed to a representative with instructions on how the call should be treated.

Abstract: Systems for leveraging voice information derived from a telephone request for customer support (“RCS”) are provided. The leveraging improves the accuracy of a sentiment analysis performed on a customer support request. The system includes a receiver configured to receive logins. Each login initiates a request. The request includes a date; a time of initiation; a location of a communication device that was used to communicate the request; a device identification number; a message derived from the request; and voice information. The system includes a processor configured to calculate a historical sentiment value, based, at least in part, on artifacts retrieved from historical information associated with the user. The processor obtains a voice sentiment value from the voice information. The processor calculates a total sentiment value based on the historical sentiment value and the voice sentiment value, and then routes the request based on the total sentiment value and the message.

Abstract: A system and method for intent-based active callback management, utilizing a cloud callback system comprising at least a profile manager, callback manager, interaction manager, media server, and environment analyzer, allowing users to call businesses, agents in contact centers, or other users who are connected to a cloud callback system, and, failing to connect to the individual they called, allow for an automatic callback object to be created, whereby the two users may be automatically called and bridged together at a time when both users are available.

Abstract: Systems and methods forecast inbound telecommunications, and more particularly, analyze real-time and historical call center data, and apply a forecasting model to the data in order to predict inbound call volume. These systems and methods employ tools that manipulate call center data and generate visual representations of metrics pertaining to forecasting call center data via a dashboard.

Abstract: A system and method for establishing a communication with a customer by an agent, via one or more communication modes includes an agent computer and a second computer. The agent computer receives a batch notification identifying a batch of one or more customer records in the agent computer, for communication in the near future, wherein the one or more customer records is associated with one or more customers. The second computer provides the batch notification enabling the agent computer to identify the batch of one or more customer records. The system determines a next step action based on a prediction of availability of the agent to execute a communication attempt to communicate with the customer using a communication mode that requires the attendance of the agent.

Abstract: A system and method for differentially locating and modifying audio sources that includes receiving multiple audio inputs from a set of distinct locations; determining a multi-dimensional audio map from the audio inputs; acquiring a set of positional audio control inputs applied to the audio map, each audio control input comprising a location and audio processing property; and generating an audio output according to the audio control inputs and the audio inputs. The audio control inputs capable of configuration through manual, automatic, computer vision analysis, and other configuration modes.

Abstract: Customer relationship management (‘CRM’) implemented in a computer system, including administering, by a CRM application of the computer system, with one or more customer representative on behalf of one or more tele-agents asynchronously across one or more platform types, as structure of computer memory of the computer system, a communications session comprising one or more communications contacts with the customer representative in support of the communications session. Digital transcripts of previous contacts are displayed for a tele-agent in real to facilitate communications with the customer representative. The transcripts and associated data are stored as parsed and inferred semantic triples in an enterprise knowledge graph.

Abstract: A call assistant device is used to command a call management system to perform a specified task in association with a specified call. The call assistant device can be an Internet of Things (IoT) based device, which can include one or more buttons and connect to a communication network wirelessly. When a user activates the call assistant device, e.g., presses a button, the call assistant device sends a message to the call management system to perform a specified task. Upon receiving the message, the call management system executes the specified task in association with a specified call of the user. The task to be performed can be any task that can be performed in association with a call, e.g., generating a summary of the call, bookmarking a specified moment in the call, sending a panic alert to a particular user, or generating an action item.