H04M3/5233

Systems and methods for flexible and extensible contact center routing

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.

Systems and methods for flexible and extensible contact center routing

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.

TECHNIQUES FOR BENCHMARKING PAIRING STRATEGIES IN A CONTACT CENTER SYSTEM
20220286557 · 2022-09-08 · ·

There are provided a method, a system configured to perform the method, and a computer program product comprising instructions which when executed by processing circuitry of the system cause the system to perform the method. The method comprises determining, by at least one computer processor communicatively coupled to and configured to operate in a contact center system, a plurality of available contacts, wherein each of the plurality of available contacts is available for pairing to an agent of a plurality of agents using either a first pairing strategy or a second pairing strategy, wherein the first pairing strategy is different from the second pairing strategy. The method further comprises determining, by the at least one computer processor, that a first agent of the plurality of agents is available for pairing, and after determining that the first agent is available for pairing, selecting, by the at least one computer processor, the first pairing strategy or the second pairing strategy for pairing the first agent to one of the first plurality of contacts based on a time the first agent became available for pairing. The method further comprises selecting, by the at least one computer processor, a first contact of the plurality of contacts using the selected pairing strategy, wherein the first contact was not assigned to either the first pairing strategy or the second pairing strategy prior to the first agent becoming available, and pairing, in a switch of the contact center system, the first contact to the first agent.

Techniques for benchmarking pairing strategies in a contact center system
11425249 · 2022-08-23 · ·

There are provided a method, a system configured to perform the method, and a computer program product comprising instructions which when executed by processing circuitry of the system cause the system to perform the method. The method comprises determining, by at least one computer processor communicatively coupled to and configured to operate in a contact center system, a plurality of available contacts, wherein each of the plurality of available contacts is available for pairing to an agent of a plurality of agents using either a first pairing strategy or a second pairing strategy, wherein the first pairing strategy is different from the second pairing strategy. The method further comprises determining, by the at least one computer processor, that a first agent of the plurality of agents is available for pairing, and after determining that the first agent is available for pairing, selecting, by the at least one computer processor, the first pairing strategy or the second pairing strategy for pairing the first agent to one of the first plurality of contacts based on a time the first agent became available for pairing. The method further comprises selecting, by the at least one computer processor, a first contact of the plurality of contacts using the selected pairing strategy, wherein the first contact was not assigned to either the first pairing strategy or the second pairing strategy prior to the first agent becoming available, and pairing, in a switch of the contact center system, the first contact to the first agent.

Techniques for hybrid behavioral pairing in a contact center system
11425248 · 2022-08-23 · ·

Techniques for hybrid behavioral pairing in a contact center system are disclosed. In one embodiment, the techniques may be realized as a method for hybrid behavioral pairing in a contact center system comprising: determining a first ordering of a plurality of agents according to a behavioral pairing strategy with a balanced agent utilization; determining a second ordering of the plurality of agents according to a performance-based routing strategy with an unbalanced agent utilization; determining a third ordering of the plurality of agents according to a combination of the first ordering and the second ordering having a skewed agent utilization between the balanced agent utilization and the unbalanced agent utilization; and outputting a hybrid behavioral pairing model based on the third ordering for connecting a contact to an agent of the plurality of agents in the contact center system.

SYSTEM AND METHOD FOR A WORK DISTRIBUTION SERVICE
20220210276 · 2022-06-30 ·

Systems and methods for a work distribution service. At a multi-tenant platform that provides a work distribution service for a plurality of external systems, a priority is assigned to a first work item of a first external system. The work item is received via a RESTful work item API call request. The priority is assigned based on work item attributes of the work item and a workflow instruction corresponding to workflow information specified by the work item. The workflow instruction is provided by the external system via a RESTful Workflow API. A worker is assigned to the work item based on: the priority of the work item, the workflow information, and worker state managed by the first external system via a RESTful Worker API. The worker state includes worker attributes. The work item is generated by the external system, and the workflow instruction is managed by the external system.

Techniques for behavioral pairing in a contact center system
11381684 · 2022-07-05 · ·

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.

Method and system for soft skills-based call routing in contact centers
11388289 · 2022-07-12 · ·

An electronic communication method and system are disclosed. Exemplary methods include rating agent soft skills using an artificial intelligence (AI) module that continuously evaluates these skills, based on artifacts available from previous interactions with customers. The artifacts can be the voice recordings, chat transcripts, as well as Key Performance Indicators (KPIs) used for reporting. Once agents are rated, targeted soft skill-based routing is implemented for high priority calls or calls that are detected by a sentiment analyzer as requiring special attention. For training purposes, the system can be configured to route calls to agents with lower soft skills ratings during off hours. Completed calls may be used as further feedback to the AI module and the soft skill ratings acquired by the AI module may be added to an existing “hard skills” dataset for contact center call routing, to assist with continuous learning of soft skills as well as agent and supervisor training.

Dialogue system
11412087 · 2022-08-09 · ·

A dialogue device of a dialogue system relating to provision of a response to an inquiry from a user terminal includes an input unit that acquires the inquiry from the user terminal, a transmission unit that connects the user terminal and an operator terminal responding to the inquiry in accordance with the inquiry, an output unit that outputs questions for ascertaining details of the inquiry to the user terminal before connection made by the transmission unit, and a determination unit that determines a mode of the questions made by the output unit in accordance with an operating status of the operator terminal that can respond to the inquiry.

PERFORMANCE METRIC RECOMMENDATIONS FOR HANDLING MULTI-PARTY ELECTRONIC COMMUNICATIONS
20220239776 · 2022-07-28 ·

Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and/or computing entities for processing performance metric recommendations for an agent profile. In accordance with one embodiment, a method is provided that includes: generating an agent feature data object for the agent profile from communication data objects representing communications; processing the agent feature data object using an agent group identifier machine learning model to generate an agent group data object; identifying a top agent performer data object based at least in part on the agent group data object; generating an agent assessment data object representing performance of an agent represented by the agent profile; processing the agent assessment data object and the top agent performer data object using a comparison machine learning model to generate inferred performance gap data objects; and generating the performance metric recommendations based at least in part on the inferred performance gap data objects.