A call center system has a computerized server executing software (SW) from a machine-readable medium, a data collection function of the SW enabled for collecting data regarding incoming transactions, a data processing function coupled to the data collection engine and enabled for processing the data collected against a set of business rules, the data processing function determining a priority level for individual ones of the incoming transactions, and a distribution function enabled for distributing a priority indication determined by the data processing function to one or more presentation interfaces accessible to agents, at or near the time the associated transaction is engaged by the agent.

In various embodiments, a mentor application automatically obtains assistance with software applications. The mentor application generates a computer-generated help request associated with a first user of a software application. Based on the computer-generated help request and a set of user contexts associated with a set of users, the mentor application computes match scores. Each match score predicts how suitable a particular user is for servicing the computer-generated help request. Based on the match scores, the mentor application transmits at least one help request notification to at least one user included in the set of users to determine a second user to service the computer-generated help request. The mentor application then establishes a computer connection between the first user and the second user through which an interactive help session between the first user and the second user is held.

A method for routing customer service requests to call centers includes collecting data associated with customer service experience between a customer and a call center regarding a completed customer call. The collected data is analyzed to determine a quality of customer service for one or more completed calls between the customer and the call center. A nature of an incoming customer call is determined. The incoming customer call is routed to a call center based upon making reference to the analyzed collected data such that the nature of the customer call matches with corresponding one or more favorable attributes of the call center.

A computerized-method for a personalized screen recording in a contact center is provided herein. The computerized-method includes, before each interaction between an agent and a customer, operating a predictive screen recording module to yield an Agent Recording Percentage (ARP) value; and based on the ARP value, operating a recording of screen events module for recording one or more voice or digital interactions, on one or more screens associated to a computing device of the agent.

A multichannel routing system for multichannel routing administration is disclosed. The multichannel routing system includes a data mining module configured to gather a plurality of profiles of agents and a plurality of parameters associated with one or more incoming work items. The multichannel routing system further includes a monitor module configured to monitor current status of the agents and priority of the incoming work items. The multichannel routing system further includes an analysis module configured to generate a multiplicity configuration of the agents based on the monitored current status of the agents and the priority of the incoming work items. The multichannel routing system further includes an assignment module configured to assign a plurality of media channels to the agents based on the generated multiplicity configuration, wherein the assignment of the media channels enables the multichannel routing administration.

Techniques for behavioral pairing in a contact center system are disclosed. In one particular embodiment, the techniques may be realized as a method for pairing in a contact center including ordering one or more contacts, ordering one or more agents, comparing a first difference in ordering between a first contact and a first agent in a first pair with a second difference in ordering between a second contact and a second agent in a second pair, and selecting the first pair or the second pair for connection based on the comparing, wherein the first contact and the second contact are different or the first agent and the second agent are different.

A method is provided. The method comprises associating a first pairing strategy to a first plurality of contacts during a first period of time, associating a second pairing strategy to a second plurality of contacts during a second period of time, associating a third pairing strategy to a third plurality of contacts during a third period of time, associating the first pairing strategy to a fourth plurality of contacts during a fourth period of time, associating the second pairing strategy to a fifth plurality of contacts during a fifth period of time, associating to a sixth plurality of contacts during a sixth period of time, determining a first performance measurement based on outcomes of the first, second, fourth, and fifth pluralities of contacts, determining a second performance measurement based on outcomes of the third and sixth pluralities of contacts, and outputting data that enables a comparison of the first and second performance measurements.

Systems and methods for flexible and extensible contact center routing are disclosed. Incoming communications are received at a contact center from one or more customers. A pairing score is determined for each agent capable of servicing the incoming communications for each of the one or more customers based on customer attributes and/or agent attributes that are adjustable and extensible. An incoming communication is routed from a customer to an agent having a highest pairing score with the customer. The incoming communication can be routed on a first communication channel and then switched over to a second communication channel. The first communication channel and second communication channel can be different types of communication channels.

A communications routing system, and method, for representing a plurality of predicted characteristics of a plurality of communications sources, each having an economic utility; representing a plurality of predicted characteristics of a plurality of communications targets each having an economic utility; and determining an optimal routing between the plurality of communications sources and the plurality of communications targets, by maximizing an aggregate utility with respect to the respective predicted characteristics of communications source and communications destination represented by linkages.

The present disclosure relates generally to providing an intent-driven contact center. The contact center according to some embodiments analyzes intents to determine to which device or agent to route a communication. The analyzed intent information can also be used to formulate reports and analyze the accuracy of the identified intents with respect to the received communication.