公开(公告)号：US20240104493A1

公开(公告)日：2024-03-28

申请号：US17935091

申请日：2022-09-24

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Reza Faturechi ,  Dylan Wang ,  Brian Duggan ,  Xianlei Qiu ,  Atul Gupte ,  Bing Hong Leonard How

IPC: G06Q10/08 ,  G06Q10/06

CPC classification number: G06Q10/087 ,  G06Q10/06312 ,  G06Q10/0639

Abstract: An online concierge system generates order batches for pickers and offers those order batches. The online concierge system generates a set of candidate order batches, which are subsets of a received set of orders. The online concierge system generates a set of order batch scores for each of a set of candidate pickers, and offers the candidate order batches to the candidate pickers for the candidate pickers to service based on the set of order batch scores. If a candidate picker accepts the offered order batch, the online concierge system identifies candidate order batches with overlapping orders with the order batch accepted by the candidate picker, and rescinds the offer for each of the candidate pickers to service the order batches.

公开(公告)号：US20240193540A1

公开(公告)日：2024-06-13

申请号：US18079317

申请日：2022-12-12

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Krishna Kumar Selvam ,  Ali Soltani Sobh ,  Kevin Charles Ryan ,  Bing Hong Leonard How ,  Rahul Makhijani ,  Bita Tadayon

IPC: G06Q10/087 ,  G06N20/00

CPC classification number: G06Q10/087 ,  G06N20/00

Abstract: An online concierge system accesses and applies a model to predict likelihoods of acceptance of a service request for an order by pickers. The system accesses timespan distributions for accepted service requests and identifies sets of pickers based on the order. Based on the likelihoods and distributions, the system generates simulated responses of the sets of pickers to the service request and trains an additional model based on attributes of the order, the simulated responses, and information associated with corresponding sets of pickers. The system receives a new order, identifies additional sets of pickers based on the new order, and applies the additional model to predict responses of the additional sets of pickers to an additional service request for the new order. Based on the predicted responses and a delivery time associated with the new order, a minimum number of pickers to send the additional service request is determined.