公开(公告)号：US20210090022A1

公开(公告)日：2021-03-25

申请号：US16849143

申请日：2020-04-15

Applicant: COUPANG CORP.

Inventor： Wei WEI ,  Guangyao ZHANG ,  Yong ZANG ,  Timothy SCHOENHARL

IPC: G06Q10/08 ,  G06Q30/06

Abstract: A computer-implemented systems and methods for intelligent generation of purchase orders is disclosed. The system may be configured to execute instructions for: receiving one or more demand forecast quantities of one or more products, the products corresponding to one or more product identifiers, and the demand forecast quantities comprising a demand forecast quantity for each product for each unit of time; receiving supplier statistics data for one or more suppliers, the suppliers being associated with a portion of the products; receiving current product inventory levels and currently ordered quantities of the products; determining preliminary order quantities for the products; constraining the preliminary order quantities to obtain recommended order quantities based at least on the supplier statistics data, the current product inventory levels, and the currently ordered quantities; and generating purchase orders to the suppliers for the products based on the recommended order quantities.

公开(公告)号：US20210174298A1

公开(公告)日：2021-06-10

申请号：US16888281

申请日：2020-05-29

Applicant: COUPANG CORP.

Inventor： Ping YIN ,  Zonghan WU ,  Min Woo LEE ,  Pil Su KIM ,  Yong ZANG ,  Wei WEI ,  Liwen HE

IPC: G06Q10/08 ,  G06N20/00 ,  G06Q30/06

Abstract: Methods and systems for determining a cause of out of stock condition by running a decision tree against historical information associated with the out of stock item and contacting a supplier of the out of stock item to request items based on the determined cause. The system receives information associated with an out of stock item from a system storing information associated with items in a fulfillment center, the information collected over an extended period, determines a cause of the out of stock condition by running a decision tree against the received information, the decision tree includes a plurality of conditions, and predicts an out of stock condition of the item based on the determined cause. Based on the prediction, the system contacts a supplier of the out of stock item to request more items.