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公开(公告)号：US12175487B2
公开(公告)日：2024-12-24
申请号：US18503078
申请日：2023-11-06
Applicant: Maplebear Inc.
Inventor： Houtao Deng , Ji Chen , Zi Wang , Soren Zeliger , Ganesh Krishnan , Wa Yuan , Michael Scheibe
IPC: G06Q10/00 , G06N5/04 , G06N20/00 , G06Q10/0631 , G06Q30/0201 , G06Q30/0204 , G06Q30/0601
Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.
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公开(公告)号：US11830018B2
公开(公告)日：2023-11-28
申请号：US17389281
申请日：2021-07-29
Applicant: Maplebear Inc.
Inventor： Houtao Deng , Ji Chen , Zi Wang , Soren Zeliger , Ganesh Krishnan , Wa Yuan , Michael Scheibe
IPC: G06Q10/00 , G06Q30/0201 , G06Q30/0601 , G06Q10/0631 , G06N5/04 , G06Q30/0204 , G06N20/00
CPC classification number: G06Q30/0206 , G06N5/04 , G06N20/00 , G06Q10/06312 , G06Q10/06313 , G06Q10/06315 , G06Q30/0205 , G06Q30/0635 , G06Q30/0641
Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.
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3.发明公开公开(公告)号：US20240070697A1
公开(公告)日：2024-02-29
申请号：US18503078
申请日：2023-11-06
Applicant: Maplebear Inc.
Inventor： Houtao Deng , Ji Chen , Zi Wang , Soren Zeliger , Ganesh Krishnan , Wa Yuan , Michael Scheibe
IPC: G06Q30/0201 , G06N5/04 , G06N20/00 , G06Q10/0631 , G06Q30/0204 , G06Q30/0601
CPC classification number: G06Q30/0206 , G06N5/04 , G06N20/00 , G06Q10/06312 , G06Q10/06313 , G06Q10/06315 , G06Q30/0205 , G06Q30/0635 , G06Q30/0641
Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.
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公开(公告)号：US20230034221A1
公开(公告)日：2023-02-02
申请号：US17389281
申请日：2021-07-29
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Houtao Deng , Ji Chen , Zi Wang , Soren Zeliger , Ganesh Krishnan , Wa Yuan , Michael Scheibe
Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.
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