公开(公告)号：US20240428310A1

公开(公告)日：2024-12-26

申请号：US18214316

申请日：2023-06-26

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Dustin Neray ,  Licheng Yin ,  George Zeng ,  Siddarth Kalra ,  Levon Dolbakian ,  Amos Too ,  Jaclyn Tandler

IPC: G06Q30/0601

Abstract: Embodiments are related to automatic prediction of times for completion of tasks for an order by a picker associated with an online system and determination of an appropriate intervention for the picker. The online system applies a computer model to predict a plurality of times for completion of a plurality of tasks associated with the first order. The online system determines that the picker who accepted the first order did not complete a task of the plurality of tasks at a predicted time of the plurality of times increased by a threshold time. The online system determines an intervention associated with the picker, based in part on the determination that the picker did not complete the task. The online system causes a device of the picker to display a message that corresponds to the determined intervention.

公开(公告)号：US20240037588A1

公开(公告)日：2024-02-01

申请号：US17877758

申请日：2022-07-29

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Rockson Chang ,  Licheng Yin ,  Chen Zhang ,  Michael Chen ,  Aaron Dou ,  Radhika Anand ,  Nicholas Sturm ,  Ajay Sampat

IPC: G06Q30/02 ,  G06Q10/08 ,  G06Q10/06

CPC classification number: G06Q30/0205 ,  G06Q10/0836 ,  G06Q10/0635 ,  G06Q30/0222

Abstract: The present disclosure is directed to determining shopper-location pairs. In particular, the methods and systems of the present disclosure may identify a set of available shoppers associated with an online shopping concierge platform and located in a geographic area; identify a set of available warehouse locations associated with the online shopping concierge platform and located in the geographic area; and determine, based at least in part on the set of available shoppers, the set of available warehouse locations, and one or more machine learning (ML) models, a set of shopper-location pairs optimized based at least in part on time required by the set of available shoppers to travel from their respective current locations to one or more of the set of available warehouse locations.