AUTOMATED STAFFING PROFILE DISTRIBUTION WITH MULTI-VARIABLE OPTIMIZATION

    公开(公告)号:US20230103265A1

    公开(公告)日:2023-03-30

    申请号:US17489386

    申请日:2021-09-29

    Applicant: NICE LTD.

    Abstract: Methods of determining optimal staffing distributions include receiving input, wherein the input includes a first workforce constraint and a second workforce constraint; identifying a plurality of values for the first workforce constraint; determining, for each identified value for the first workforce constraint, a combination of the plurality of agent groups that provide the identified value for the first workforce constraint; selecting, for each identified value for the first workforce constraint, a combination of the plurality of agent groups from the determined combinations, that provides an optimal value for the second workforce constraint; generating an optimal line; displaying the optimal line on a graphical user interface; receiving a selection of a point on the optimal line; and applying the selected point to a staffing distribution plan.

    METHOD FOR DETERMINING COGNITIVE LOAD-DRIVEN CONCURRENCY LIMITS BASED ON TEXT COMPLEXITY

    公开(公告)号:US20240073170A1

    公开(公告)日:2024-02-29

    申请号:US17899227

    申请日:2022-08-30

    Applicant: NICE LTD

    CPC classification number: H04L51/214 G06F40/40 G06Q10/063112

    Abstract: A workforce management system and methods for managing a workload of an agent include receiving a first written interaction from a first customer; routing the first written interaction to an agent; determining a readability score of the first written interaction; aggregating the readability score with a plurality of past readability scores of written interactions assigned to the agent; creating a readability score scale based on the aggregated readability score with the plurality of past readability scores; creating a concurrency level scale based on a minimum concurrency level and a maximum concurrency level of the agent; correlating readability scores and concurrency levels using the readability score scale and the concurrency level scale; and adjusting the maximum concurrency level of the agent based on the correlation.

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