The present invention is a system and method of routing incoming communications to a CSR and providing guidance to the CSR based on the incoming communication using feedback information such as sentiment feedback, survey feedback, and feedback from actions taken by CSRs based on skill level. A CEC system receives an incoming communication, analyzes the communication and creates metadata based off of the analysis. The metadata is used by the RAE routing module to route the communication to an appropriate party. The metadata is also used by the GAE guidance module to determine the guidance to provide to the CSR. The CSR then performs an action based on the guidance. The CEC system continues to monitor the interaction until the interaction is completed. The communication metadata, the communication, the guidance, and the CSRs action are all provided to a RAS rules analysis module wherein the RAS analyzes the data and automatedly updates the rules (RAR and GAR) according to the analysis.

Systems and methods are provided for generating, processing and distributing leads, the system comprising a leads processing engine for receiving customer requests, creating leads based upon the customer requests, determining a best available agent or agents for each lead from a pool of available agents based upon one or more selected factors, and offering and/or sending each lead to the best available agent or agents.

A system and method for communicating in a communication network, comprising presenting a communication comprising data over a communications network to a router, said router being adapted to route the communication to one of a plurality of available network destinations; automatically executing a communication targeting algorithm in the router, based at least in part on the data, wherein the communication targeting algorithm operates to contextually jointly analyze a plurality of parameters extracted from the data and a plurality of contextual parameters, to determine an optimum target for the communication, wherein the optimum target varies in dependence on both the data and the context of the communication; and routing the communication in dependence on the algorithm execution.

A redirection and messaging system receives telephony information identifying a caller and call context from a telephony system. The system selects one of a plurality of messaging operators based on the call context, optionally sends an introductory message to the caller via a messaging service, and generates a message interface for the selected message operator. The message interface includes the caller and call context and any messages sent between the caller and the selected message operator, with an input interface allowing the selected message operator to input and send messages to the caller.

Techniques for benchmarking performance in a contact center system are disclosed. In one particular embodiment, the techniques may be realized as a method for benchmarking contact center system performance comprising cycling, by at least one computer processor configured to perform contact center operations, between a first contact-agent pairing strategy and a second contact-agent pairing strategy for pairing contacts with agents in the contact center system; determining an agent-utilization bias in the first contact-agent pairing strategy comprising a difference between a first agent utilization of the first contact-agent pairing strategy and a balanced agent utilization; and determining a relative performance of the second contact-agent pairing strategy compared to the first contact-agent pairing strategy based on the agent-utilization bias in the first contact-agent pairing strategy.

A contact center network including a contact center unit connected via a communication network to a plurality of agents and to a plurality of IoT devices, wherein each one of the plurality of IoT devices is equipped with sensor devices adapted to measure predetermined IoT measurement data, and at least one actuator device adapted to control the IoT device remotely, wherein the contact center unit is connectable to the sensor devices and the actuator devices via a IoT middleware unit adapted to receive an incident notification, if sensor measurement data matches a predetermined criterion indicating an incident, and wherein the contact center unit includes a routing unit adapted to route a contact based on the incident information comprised in the incident notification to an agent. Further, embodiments relate to a method for establishing a communication session in a contact center network.

An artificial intelligence-based multi-channel system and method to evaluate a buyer or consumer's intent to purchase benefits products. The system and method determine the buyer or consumer's needs, identifies and presents relevant benefits products based on eligibility to the buyer or consumer. The system and method can transfer the buyer or consumer to a producer to facilitate an enrollment process for the benefits products.

A system to obtain multiple feedback inquiries associated with an application and to ensure that at least a minimum duration passes between successive inquiries being shown to a user. The system may receive dynamic inquiries from an inquiry server that is external to the client device running the application and also receive static inquiries included within computer code of the application. The system may order (e.g., rank) the multiple inquiries according to priority to generate a prioritized inquiry sequence. The system may then refrain from exposing low priority inquiries if higher priority inquiries have yet to be exposed to solicit user input. Individual inquiries can include a classifier to enable the system to determine associations between discrete inquiries and to govern a rate at which groups of associated inquiries are shown to a user.

In a crowd sourcing approach, responses to customer service inquiries are provided by routing a subset of the inquiries to an independent group of experts. The customer service inquiries are optionally routed to specific experts based on matches between identified subject matter of the inquiries and expertise of the experts. Embodiments include an expert system configured to identify clusters of inquiries that can be responded to using predetermined response content. The expert system is optionally trained based on scored responses to prior customer service inquiries.

A system for directing calls using historical call backs, demographics, and real time attributes is disclosed. In particular, the system may receive incoming calls at an interactive voice response system. Based on speech occurring during the calls, the system may determine attributes of the callers. The system may then utilize the determined attributes, call records, demographic information pertaining to account owners, real time call attribute assessment systems, regression analyses, and various types of information to direct the calls from the interactive voice response system to an optimal agent for handling. Notably, the system may direct the calls to those agents that have a higher probability of successful interaction with the calling parties so as to reduce follow-up calls, which may be costly to the entity receiving the calls. A subset of the calls may be directed to agents at random so as to facilitate the collection of unbiased information.