Call center load balancing and routing management

    公开(公告)号:US11233905B1

    公开(公告)日:2022-01-25

    申请号:US16791769

    申请日:2020-02-14

    IPC分类号: H04M3/51 H04M3/523

    摘要: Systems and methods receiving performance data associated with a call center network; utilizing the performance data to create a model of the call center network; employing the model to run a simulation of the call center network that generates performance data associated with the model; using the model to generate solution parameters for the call center network; and providing the solution parameters to the call center network implementation in the call center network.

    Forecasting and dynamic routing for service environments

    公开(公告)号:US10778846B1

    公开(公告)日:2020-09-15

    申请号:US16392037

    申请日:2019-04-23

    摘要: Techniques are described for forecasting and dynamic routing of incoming routing service requests in a service environment that includes one or more call centers. Implementations apply a doubly stochastic modeling technique to modeling call volumes, call wait times, calling handling times, and/or other parameters in a service environment that includes one or more call centers that include multiple skill codes for the service representatives. By simultaneously modeling on different time scales, such as modeling both inter-day and intra-day correlations, implementations are able to provide an analysis that exploits more of the structure in the data compared to traditional techniques. Implementations can also integrate in other types of time series for other effects that may impact the call volume or other parameters in a service environment, such as exogenous and/or anomalous variables that are independent of other inter-day and/or intra-day trends exhibited in the data.

    Forecasting and dynamic routing for service environments

    公开(公告)号:US11184483B1

    公开(公告)日:2021-11-23

    申请号:US17198016

    申请日:2021-03-10

    摘要: Techniques are described for forecasting and dynamic routing of incoming routing service requests in a service environment that includes one or more call centers. Implementations apply a doubly stochastic modeling technique to modeling call volumes, call wait times, calling handling times, and/or other parameters in a service environment that includes one or more call centers that include multiple skill codes for the service representatives. By simultaneously modeling on different time scales, such as modeling both inter-day and intra-day correlations, implementations are able to provide an analysis that exploits more of the structure in the data compared to traditional techniques. Implementations can also integrate in other types of time series for other effects that may impact the call volume or other parameters in a service environment, such as exogenous and/or anomalous variables that are independent of other inter-day and/or intra-day trends exhibited in the data.

    Forecasting and dynamic routing for service environments

    公开(公告)号:US10979573B1

    公开(公告)日:2021-04-13

    申请号:US16936733

    申请日:2020-07-23

    摘要: Techniques are described for forecasting and dynamic routing of incoming routing service requests in a service environment that includes one or more call centers. Implementations apply a doubly stochastic modeling technique to modeling call volumes, call wait times, calling handling times, and/or other parameters in a service environment that includes one or more call centers that include multiple skill codes for the service representatives. By simultaneously modeling on different time scales, such as modeling both inter-day and intra-day correlations, implementations are able to provide an analysis that exploits more of the structure in the data compared to traditional techniques. Implementations can also integrate in other types of time series for other effects that may impact the call volume or other parameters in a service environment, such as exogenous and/or anomalous variables that are independent of other inter-day and/or intra-day trends exhibited in the data.