Afiniti, Ltd.

Systems and methods are disclosed for determining agent capacity for managing contact interactions. An example method includes obtaining first information of a contact, and active agent device information comprising at least a first agent identifier and a second agent identifier. The example method further includes determining a first capacity of the first agent identifier based on active interactions and dormant interactions associated with the first agent identifier. The example method further includes determining a second capacity of the second agent identifier based on active interactions and dormant interactions associated with the second agent identifier. The example method further includes determining a conversation pattern of the contact, and initiating a comparison of the first capacity and the second capacity based on the conversation pattern. The example method further includes assigning the contact to either of the first agent identifier and the second agent identifier based on the comparison.

Techniques for behavioral pairing in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method for behavioral pairing in a task assignment system comprising: receiving, by at least one computer processor communicatively coupled to and configured to operate in the task assignment system, information about a plurality of tasks; transmitting, by the at least one computer processor, the received information to a plurality of queues, each queue including a plurality of agents; and pairing, by the at least one computer processor, a task allocated to a first queue of the plurality of queues to an agent allocated to the first queue based at least in part on the received information.

There is provided a method. The method comprises selecting a pairing strategy (PS) set from a group of PS sets, the group of PS sets comprising: i) a first PS set comprising a first PS (first pairing algorithm/module) and ii) a second PS set comprising a second PS and a third PS, and as a result of selecting a PS set from the group of PS sets, using one or more PSs included in the selected PS set to establish one or more contact-agent pairs.

Techniques are disclosed for improving the intelligence, efficiency, distribution, routing, prioritization, and/or otherwise optimization of web and/or telecommunication channels regarding website and/or contact center traffic, visitors, load, and/or resources. In one aspect, contact connection data and initial activity data of a contact is obtained that comprises information regarding the contact's activity on an unassisted channel of a service provider. Agent data of a plurality of agents at a contact center is obtained and, based on the initial activity data and the agent data, a determination is made whether to (a) direct the contact to an assisted channel of the service provider, or (b) maintain the contact on the unassisted channel of the service provider. The contact may be paired to an agent of the contact center upon receipt of a request from the contact to establish an agent connection with the contact center system.

Techniques for sharing control of assigning tasks between an external pairing system and a task assignment system with an internal pairing system are disclosed. In one embodiment, the techniques may be realized as a method for sharing control of assigning tasks between an external pairing system and a task assignment system with an internal pairing system comprising receiving, from the task assignment system, a plurality of task pairing requests and an agent pairing request, wherein each task request of the plurality of task pairing requests is assigned to one of a first pairing strategy and a second pairing strategy. The agent pairing request may indicate an agent that is available for pairing. The method may further comprise transmitting, to the task assignment system, a pairing recommendation being based in part on the plurality of task pairing requests, the first pairing strategy, the second pairing strategy, and the agent pairing request.

Techniques for decisioning behavioral pairing in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method for decisioning behavioral pairing in a task assignment system comprising: determining, by at least one computer processor communicatively coupled to and configured to operate in the task assignment system, a plurality of possible task-agent pairings among at least one task waiting for assignment and at least one agent available for assignment; and selecting, by the least one computer processor for assignment in the task assignment system, a first task-agent pairing of the plurality of possible task-agent pairings based at least in part on a first offer set to be offered by the agent or a first compensation to be received by the agent.

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 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.

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.

Techniques for workforce management in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method for workforce management in a task assignment system comprising: determining, by at least one computer processor configured to operate in the task assignment system, a first efficiency level of a first task assignment strategy for a first number of agents to be employed in the task assignment system; determining, by the at least one computer processor, a second efficiency level of a second task assignment strategy for a second number of agents to be employed in the task assignment system; comparing, by the at least one computer processor, the first and second efficiency levels; and selecting, by the at least one computer processor, one of the first and second numbers of agents having the higher of the first and second efficiency levels.