SYSTEM AND METHOD FOR PREDICTING SERVICE METRICS USING HISTORICAL DATA

    公开(公告)号:US20230297907A1

    公开(公告)日:2023-09-21

    申请号:US17694784

    申请日:2022-03-15

    Applicant: NICE LTD.

    CPC classification number: G06Q10/063112 G06Q10/06316

    Abstract: A method for allocating resources for a plurality of time intervals, including: receiving a forecasted workload and at least one required service metric value; applying a search algorithm to identify an initial allocation assignment; inputting the assignment to a machine learning algorithm, the machine learning algorithm trained on historic data of past intervals; predicting an expected service metric value provided by the initial allocation assignment; adjusting the initial allocation assignment based on a difference between the expected service metric value and the corresponding required service metric value; iteratively repeating the applying, inputting, predicting, and adjusting operations until one of: the expected service metric value predicted for an adjusted allocation assignment is within a predetermined distance of the corresponding at least one required service metric value for the interval; or a predetermined time has elapsed.

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