A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

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 contacts according to a behavioral pairing strategy with a balanced contact utilization; determining a second ordering of the plurality of contacts according to a performance-based routing strategy with an unbalanced contact 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 contact utilization between the balanced contact utilization and the unbalanced contact utilization; and outputting a hybrid behavioral pairing model based on the third ordering for connecting an agent to a contact of the plurality of contacts in the contact center system.

Systems, methods, and computer program products include smart capacity workload routing with workload modeling. One example involves storing a workload model in memory regarding a set of different factors associated with user communications, with each factor is associated with a measurement of workload. A received request including information regarding one or more of the factors is processed and used in identifying a workload measurement for the requested user communication based on comparing the received request information to the stored workload model. An agent with capacity that is available to handle the requested user communication is identified. A communication slot for the identified agent is activated and defined by the identified workload measurement, and the request is routed to the identified agent and updating available workload capacity in the system.

The distribution of incoming queries to a customer interaction center agent group is parallel processed amongst agents of that group to improve queue wait times. A threshold number of queries that may be processed by agent devices associated with the agent group at a given time are defined based on a number of agents of the agent group that are available at the given time. In response to determining that the number of queries is satisfies the threshold number of queries based on the number of agents that are available at a current time, a number of queries awaiting processing are distributed to one or more agent devices of the agent group. The threshold number of queries may be based on half of the number of agents that are available at the given time.

Calls for large call queues are handled by a system that assigns agents of a call queue to one of a first group or a second group. A size of the first group or the second group is based on a number of agents in the call queue that are online. The system batch rings each agent of the first group when an incoming call is received. If the incoming call is unanswered by the first group, the system batch rings each agent of the second group.

The distribution of incoming queries to a customer interaction center agent group is parallel processed amongst agents of that group to improve queue wait times. A threshold number of queries that may be processed by agent devices associated with the agent group at a given time are defined based on a number of agents of the agent group that are available at the given time. In response to determining that the number of queries is satisfies the threshold number of queries based on the number of agents that are available at a current time, a number of queries awaiting processing are distributed to one or more agent devices of the agent group. The threshold number of queries may be based on half of the number of agents that are available at the given time.

A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

A computer server system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a first device, a signal including a request to schedule access to a shared resource within a time window; identify, based on a load projection for the shared resource, at least one time period within the time window for the access to the shared resource; send, via the communications module and to the first device, a signal including the at least one time period and requesting confirmation that a particular one of the at least one time period is acceptable; receive, via the communications module and from the first device, a signal including confirmation that the particular one of the at least one time period is acceptable; determine that a current time has reached the particular one of the at least one time period; and responsive to determining that the current time has reached the particular one of the at least one time period, provide access to a node of the shared resource, the node having available bandwidth.

A computer server system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a first device, a signal including a request to schedule access to a shared resource within a time window; identify, based on a load projection for the shared resource, at least one time period within the time window for the access to the shared resource; send, via the communications module and to the first device, a signal including the at least one time period and requesting confirmation that a particular one of the at least one time period is acceptable; receive, via the communications module and from the first device, a signal including confirmation that the particular one of the at least one time period is acceptable; determine that a current time has reached the particular one of the at least one time period; and responsive to determining that the current time has reached the particular one of the at least one time period, provide access to a node of the shared resource, the node having available bandwidth.

Systems, methods, and computer program products provide a digital twin of a call center or call center network, including the members, representatives, and algorithms therein. The digital twin can be used to model real-world call centers and call center networks or may be modified to test changes (in the center/network's control such as algorithms or representative staffing, or beyond the center network's controls such as callers) before they are implemented in real-world production environments. Call loads, which may be based on real call loads or generated differently, can be used to test current or contemplated call center/network arrangements. The digital twin can be validated through comparison with data received from the real-world call center(s)/network(s) it models.