COMPUTER-IMPLEMENTED SYSTEMS AND METHODS FOR INTELLIGENT PROFIT GAP DETERMINATION AND RESPONSIVE ADJUSTMENT

    公开(公告)号:US20210304094A1

    公开(公告)日:2021-09-30

    申请号:US16834021

    申请日:2020-03-30

    Applicant: COUPANG CORP.

    Abstract: Disclosed embodiments provide computer-implemented systems and methods for determining a gap to meet a goal for use with a user interface. A method for determining a gap logistics comprises receiving, from a user device, a input, a target, and a request to determine a gap to determine the target based on the input for a set of groups, capturing sales data, price data, and funding data associated with the set of groups from a system, and determining the gap by applying the received input, the received target, the captured sales data, the captured price data, and the received funding data to a predefined formula. The method further comprises providing the determined gap to the user device and transmitting, from the user device, a request to provide a fund to close the determined gap to a computing device of an entity associated with the set of groups.

    SYSTEMS AND METHODS FOR OPTIMIZING COST OF GOODS SOLD

    公开(公告)号:US20210365970A1

    公开(公告)日:2021-11-25

    申请号:US16878657

    申请日:2020-05-20

    Applicant: COUPANG CORP.

    Abstract: A computer-implemented system for optimizing cost of goods sold is configured to: receive supplier configuration data of a supplier associated with the at least one product, supplier configuration data being extracted from an agreement defining parameters associated with one or more tiers; receive an order history associated with the supplier; determine a current tier and current progress within the current tier based on the order history, the current tier being specified by the supplier configuration data; determine an additional quantity necessary to reach a next tier according to the supplier configuration data; determine one or more trade-off parameters affected by the additional quantity, the one or more trade-off parameters being determined by a computerized model simulating future customer demand; and transmit a request to initiate a new order for the additional quantity based on the one or more trade-off parameters.

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