Abstract: A system and method for intent-based active callback management using enhanced callback objects, 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: 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: A system and method for intent-based active callback management using enhanced callback objects and callback actions, utilizing a cloud callback system comprising at least a profile manager, callback manager, interaction manager, media server, environment analyzer, and intent 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. The intent analyzer is configured to receive an audio file or a transcribed audio file and perform various speech processing tasks such as punctuation determination, domain identification, and intent classification in order to produce one or more callback actions to be applied to the callback object for the management and execution of callbacks.

Abstract: A system and method for mobile device active callback integration utilizing configurable callback triggers, utilizing a callback integration engine operating on a user's mobile device that present a callback token for integration through the operating system and software applications operating on the device, wherein interacting with the callback token produces a callback object used to execute a callback when one or more callback triggering events are detected, incorporating device hardware, context, scheduling, and trust information.

Abstract: A system and method for mobile device active callback integration, utilizing a callback integration engine operating on a user's mobile device that present a callback token for integration through the operating system and software applications operating on the device, wherein interacting with the callback token produces a callback object used to execute a callback incorporating device hardware, context, scheduling, and trust information.

Abstract: A system and method for intent-based active callback management using enhanced callback objects, 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: A system and method for intent-based active callback management using enhanced callback objects, 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: 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: A system and method for mobile device active callback integration, utilizing a callback integration engine operating on a user's mobile device that present a callback token for integration through the operating system and software applications operating on the device, wherein interacting with the callback token produces a callback object used to execute a callback incorporating device hardware, context, scheduling, and trust information.

Abstract: A system and method for mobile device active callback integration, utilizing a callback integration engine operating on a user's mobile device that present a callback token for integration through the operating system and software applications operating on the device, wherein interacting with the callback token produces a callback object used to execute a callback incorporating device hardware, context, scheduling, and trust information.

Abstract: A system and method for intent-based active callback management using enhanced callback objects, 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: 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: A system for integrated virtual assistant and contact center end-to-end functionality, which allows users to use their personal virtual assistant (such as SIRI, Amazon Alexa, Google Assistant, Cortana, and others) to extend functionality and communicate with other VA's and with contact centers through an interface, for services and functionality to be improved and automated.

Abstract: A system for virtual assistant facilitated contact center communications, wherein a virtual assistant at a contact center is used to communicate with a virtual assistant operating on a user device, thereby automating and improving contact center to customer communications. When a service request is received at a virtual assistant at the contact center from a virtual assistant operating on a user device, the virtual assistant at the contact center exchanges messages with one or more internal systems at the contact center to obtain relevant information. If any of the internal systems identifies missing information, the virtual assistant at the contact center queries the virtual assistant on the user device for the missing information.

Abstract: A system for integrated virtual assistant and contact center end-to-end functionality, which allows users to use their personal virtual assistant (such as SIRI, Amazon Alexa, Google Assistant, Cortana, and others) to extend functionality and communicate with other VA's and with contact centers through an interface, for services and functionality to be improved and automated.

Abstract: A system for optimized routing of interactions, comprising media servers, a statistics server, a routing database, and a routing server. Upon receiving or initiating an interaction, a media server sends a route request message to the routing server, the statistics server receives event notifications from the media servers and computes one or more statistics, and the routing server executes, using statistical data from the statistics server and data from the routing database, a routing script comprising a constraint-based optimization process in response to the route request message.

Abstract: A system for optimized routing of interactions, comprising media servers, a statistics server, a routing database, and a routing server. Upon receiving or initiating an interaction, a media server sends a route request message to the routing server, the statistics server receives event notifications from the media servers and computes one or more statistics, and the routing server executes, using statistical data from the statistics server and data from the routing database, a routing script comprising a constraint-based optimization process in response to the route request message.

Abstract: A system for conducting real-time and historical analysis of complex customer care processes, comprising an event collector software module, a complex event processing software module adapted to receive events from the event collector software module, a distributed data storage layer, a business analytics software module adapted to receive and process data from the distributed data storage layer, a distributed configuration software module, and a user interface software module adapted to receive analytics results from the business analytics software module. Upon receiving an event from an event source, the event collector software module at least converts the event into a standard event data format suitable for use by the complex event processing software module and extracts or masks sensitive data from the event based on privacy rules maintained by the distributed configuration software module.

Abstract: A system for optimized and distributed routing of interactions, comprising a plurality of media servers operating adapted to handle interactions of one or more specific media types, a statistics server, a routing database, and a routing server. Upon receiving or initiating an interaction of a specific media type, a first media server from the media servers sends a route request message comprising at least an interaction identifier and a collection of interaction-specific data to the routing server, the statistics server receives event notifications from the media servers and computes one or more statistics, and the routing server executes, using statistical data from the statistics server and data from the routing database, a routing script in response to the route request message and sends a response to the first media server directing it to route the interaction to a specific target resource.

Abstract: A system for optimized and distributed resource management, comprising a plurality of media servers, a statistics server, a historical statistics database, a forecasting engine, a scheduling engine, and an activity manager. The forecasting engine generates a forecast of estimated volume of imperative demand and determines a required volume of contingent demand to be handled based on managing a backlog of contingent demand. The scheduling engine generates a schedule that provides an adequate number of resources to handle the forecasted imperative demand and to handle the required volume of contingent demand over an aggregated time. The activity manager monitors statistical data, compares actual staffing and imperative demand to scheduled staffing and forecasted imperative demand, and determines activity switches needed to reallocate available resources, the activity switches only occurring switched after a configured minimum activity switching time.