MACHINE LEARNING BASED RESOURCE ALLOCATION OPTIMIZATION

    公开(公告)号:US20240104458A1

    公开(公告)日:2024-03-28

    申请号:US17955407

    申请日:2022-09-28

    CPC classification number: G06Q10/063116 G06N5/022 G06Q10/06393 G06Q30/0637

    Abstract: An online concierge system determines a quantity of a resource available in a timeslot to fulfill orders during the timeslot. The orders include immediate orders placed during the timeslot and scheduled orders that are scheduled for fulfillment during the timeslot. The online concierge system applies the quantity of the resource to a machine learning model to produce a predicted relationship between a value of a fulfillment metric and an allocation of the quantity of the resource reserved for immediate orders. The online concierge system determines, based on the predicted relationship, an expected optimal allocation of the quantity of the resource that maximizes the fulfillment metric. The online concierge system reserves the expected optimal allocation of the quantity of the resource for immediate orders.

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