Abstract: A method for allocating resources to modules of a contact center includes: receiving a first interaction in a first state; determining a first load of a first module of the contact center to be low; in response to determining that the first load is low, routing the first interaction to the first module of the contact center, the first module transitioning the first interaction from the first state to a second state; receiving a second interaction in the first state; determining a second load on the first module of the contact center to be high; and in response to determining that the second load is high, routing the second interaction to a second module configured to transition the second interaction from the first state to the second state, the second module having different resource requirements than the first module.

Abstract: A system is provided for routing transactions to individual ones of a group of agents, comprising, a queue wherein transactions to be routed are placed, a transmission facility sending invitations to interact with a transaction from the queue to agents, and a router routing transactions from the queue to individual agents who accept the invitation.

Abstract: A system and method for making engagement offers. A processor monitors a navigation path of a user navigating a website. The processor makes an offer for engagement with the user on a first web page reached by the user upon following the navigation path. The processor monitors a reaction of the user to the offer for engagement, and updates tag data associated with a second web page encountered by the user while traversing the navigation path. The tag data is updated based on the reaction of the user to the offer for engagement.

Abstract: Systems and methods are shown for routing task objects to multiple agents that involve analyzing content of each task object in an input buffer to determine a classification relevant to the content of the task object that is added to task object metadata, which is placed in a second buffer. Objects in the second buffer are analyzed and the classification in the object metadata used to search workforce management data representing agent characteristics to identify agents who match the classification. A routing strategy is applied to the object to select an agent and the object is routed to the agent's workbin. Another aspect involves organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data, and presenting remaining objects based on order of priority, or re-arranging objects between workbins based on recent status info.

Abstract: A method for allocating resources to modules of a contact center includes: receiving a first interaction in a first state; determining a first load of a first module of the contact center to be low; in response to determining that the first load is low, routing the first interaction to the first module of the contact center, the first module transitioning the first interaction from the first state to a second state; receiving a second interaction in the first state; determining a second load on the first module of the contact center to be high; and in response to determining that the second load is high, routing the second interaction to a second module configured to transition the second interaction from the first state to the second state, the second module having different resource requirements than the first module.

Abstract: A system and method for proactively making knowledge offers. A processor is configured to gather information on interactions by a user with resources provided by an enterprise having a customer contact center. The processor anticipates need of the user based on the gathered information, and generates a query based on the anticipated need. Prior to the user expressly requesting knowledge relating to a particular topic, the processor proactively identifies and suggests the knowledge to the user based on the generated query. The processor receives feedback relating to the suggested knowledge and outputs based on the feedback, a relevance score for the suggested knowledge.

Abstract: A contact center has channels for receiving communications requesting interaction with an agent, agent stations providing connection ability to received communications, and a Virtual Interaction (VI) Server connected to the LAN and executing VI software on a processor from a non-transitory medium. The VI Server creates and stores a Virtual Interaction object based on determination of an expected receipt of a future communication, the VI associating a source, an intent, a set of data regarding the source, and an agent station destination, and the created VI is stored and matched with a real incoming communication from the source associated in the VI, and the VI is then instantiated as a live interaction by connecting the source of the incoming call with the agent destination associated in the VI.

Abstract: Systems and methods are shown for routing task objects to multiple agents that involve analyzing content of each task object in an input buffer to determine a classification relevant to the content of the task object that is added to task object metadata, which is placed in a second buffer. Objects in the second buffer are analyzed and the classification in the object metadata used to search workforce management data representing agent characteristics to identify agents who match the classification. A routing strategy is applied to the object to select an agent and the object is routed to the agent's workbin. Another aspect involves organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data, and presenting remaining objects based on order of priority, or re-arranging objects between workbins based on recent status info.

Abstract: A contact center has channels for receiving communications requesting interaction with an agent, agent stations providing connection ability to received communications, and a Virtual Interaction (VI) Server connected to the LAN and executing VI software on a processor from a non-transitory medium. The VI Server creates and stores a Virtual Interaction object based on determination of an expected receipt of a future communication, the VI associating a source, an intent, a set of data regarding the source, and an agent station destination, and the created VI is stored and matched with a real incoming communication from the source associated in the VI, and the VI is then instantiated as a live interaction by connecting the source of the incoming call with the agent destination associated in the VI.

Abstract: Systems and methods are shown for routing task objects to multiple agents that involve analyzing content of each task object in an input buffer to determine a classification relevant to the content of the task object that is added to task object metadata, which is placed in a second buffer. Objects in the second buffer are analyzed and the classification in the object metadata used to search workforce management data representing agent characteristics to identify agents who match the classification. A routing strategy is applied to the object to select an agent and the object is routed to the agent's workbin. Another aspect involves organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data and presenting remaining objects based on order of priority, or re-arranging objects between workbins based on recent status info.

Abstract: Systems and methods are shown for organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data, and presenting remaining objects to an agent based on order of priority or workflow strategy.

Abstract: A contact center has channels for receiving communications requesting interaction with an agent, agent stations providing connection ability to received communications, and a Virtual Interaction (VI) Server connected to the LAN and executing VI software on a processor from a non-transitory medium. The VI Server creates and stores a Virtual Interaction object based on determination of an expected receipt of a future communication, the VI associating a source, an intent, a set of data regarding the source, and an agent station destination, and the created VI is stored and matched with a real incoming communication from the source associated in the VI, and the VI is then instantiated as a live interaction by connecting the source of the incoming call with the agent destination associated in the VI.

Abstract: Systems and methods are shown for organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data, and presenting remaining objects to an agent based on order of priority or workflow strategy.

Abstract: Systems and methods are shown for routing task objects to multiple agents that involve analyzing content of each task object in an input buffer to determine a classification relevant to the content of the task object that is added to task object metadata, which is placed in a second buffer. Objects in the second buffer are analyzed and the classification in the object metadata used to search workforce management data representing agent characteristics to identify agents who match the classification. A routing strategy is applied to the object to select an agent and the object is routed to the agent's workbin. Another aspect involves organizing workbin tasks objects by priority, according to recent system conditions excluding objects that cannot presently be processed based on a workflow strategy or status data and presenting remaining objects based on order of priority, or re-arranging objects between workbins based on recent status info.

Abstract: A system and method for making engagement offers. A processor monitors a navigation path of a user navigating a website. The processor makes an offer for engagement with the user on a first web page reached by the user upon following the navigation path. The processor monitors a reaction of the user to the offer for engagement, and updates tag data associated with a second web page encountered by the user while traversing the navigation path. The tag data is updated based on the reaction of the user to the offer for engagement.