A method and system matching contact center agents and back office staff with a customer inquiry. Exemplary systems include an expert term extraction engine, a customer term extraction engine, and a matching engine to compare customer request terms to the expert terms from the customer term extraction engine. The comparison determines whether there is a match or potential match between the customer request terms and the stored expert terms. An exemplary system may also include a timer that communicates with one or more communication servers. Back office staff may assist contact center agents when one or more conditions are met, such as when a customer wait time exceeds a predetermined period or when there is no match or potential match between the customer request terms and the stored expert terms for contact center agents.

A method, system and program product, the method comprising: obtaining for each call in one set of calls a respective pattern representing multiple different respective data fields; obtaining performance data for the respective patterns of the calls; obtaining performance data for the respective agents; determining agent performance sensitivity to call pattern performance for agents in a set of agents comprising the agent performance data correlated to call performance data for the calls the agent handles; and matching a respective one of the agents from the set of agents to one of the calls based at least in part on the performance data for the respective pattern of the one call and on the agent sensitivity to call performance for the respective one agent of the set of agents.

A system for routing an interaction has a queue for staging the interaction, a router running a routing strategy for routing the interaction, and a number of object models maintained for a number of agents, the object models defining one or more agent skills, the values of the object models dynamically affected by real-time bio-metrics of the agents obtained through ongoing monitoring of voice and input actions of the agents. The routing strategy routes the interaction based on comparison of the dynamically-affected skill values of the agents, as evidenced in the object models.

A system herein provides automated call-back of customers who have terminated an inbound call by exercising a call-back option of an interactive voice response unit or by abandoning the inbound call, using predictive modeling of caller value to prioritize call-backs. The call management system monitors the inbound customer call and detects any termination of the customer call. A call-back module opens a call-back record for the terminated customer call and associates that call-back record with an identified customer. The call-back module retrieves customer demographic data and other data associated with the identified customer. A predictive module determines a value prediction signal for the identified customer by modeling purchase and lapse behaviors and classifies each identified customer for either priority call-back or subordinate call-back treatment. Priority call-back classification may result in assignment to a priority call-back queue, assignment to a priority call-back queue position, or call-back by a selected agent.

A system and method are disclosed for recommending a resource to a customer service representative that includes one or more databases that store data describing electronic communication between one or more customer system communication devices and one or more service center communication devices. Embodiments further include a computer coupled with one or more databases and configured to monitor communication activity to determine whether a customer service ticket has been opened between one or more customer system communication devices and one or more service center communication devices and determine a customer service representative score based on one or more customer service representative ranking factors.

A computing system may include a plurality of first client devices associated with customers, a plurality of second client devices associated with support agents, and server configured to communicate with the first and second client devices. The server may establish support sessions between the first client devices and the second client devices via a communications network based upon customer support requests from the first client devices, collect customer feedback data on the support agents from the first client devices responsive to the support sessions, collect support agent feedback data on the customers from the second client devices responsive to the support sessions, rank the support agents based upon the customer feedback, rank the customers based upon the support agent feedback, and assign the support agents to customers as customer requests are received based upon the rankings of available support agents and the rankings of the customers making the customer requests.

A contact center is described along with various methods and mechanisms for administering the same. The contact center proposed herein provides the ability to, among other things, assess contextual information and adjust an outbound dialer's pacing algorithm based on the assessment thereof. The contextual information may be obtained from sources that are inside the contact center and outside the contact center.

Assigning an appropriate channel in an omni-channel contact center environment includes receiving, by a computer of the contact center, an incoming contact via a first communication channel, the incoming contact assignable to a plurality of available communication channels; queuing, by the computer, the incoming contact in a first queue associated with the first communication channel; determining, by the computer, a preferable communication channel from among the plurality of communication channels and the first communication channel; and when the preferable communication channel is one of the plurality of communication channels, determining whether to assign the incoming contact to the preferable communication channel.

The present disclosure provides systems and methods for routing incoming communications, such as calls, to a customer service representative or live agent. Specifically, the present disclosure provides a communication routing platform that can forward calls from multiple phones numbers to one or more call centers or live agents as well while simultaneously forwarding instructions for handling the calls.

A system and method for case-based routing as opposed to atomic interaction routing. A processor opens a case in a customer database. The case is associated with a workflow that has steps anticipated to be executed for the case. The processor identifies first and second steps of the workflow, and further identifies an agent with skills for handling the first and second steps. The processor generates a task for handling at least the first step of the workflow, and transmits instructions to route the task to the identified agent.