公开(公告)号：US11854065B2

公开(公告)日：2023-12-26

申请号：US17238217

申请日：2021-04-23

Applicant: Maplebear, Inc.

Inventor： Amy Luong ,  Michael Righi ,  Graham Adeson ,  Ross Stuart Williams ,  Aman Jain ,  Radhika Anand ,  Ganesh Krishnan

IPC: G06Q30/00 ,  G06Q30/0601

CPC classification number: G06Q30/0635 ,  G06Q30/0639 ,  G06Q30/0641

Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.

公开(公告)号：US20240070757A1

公开(公告)日：2024-02-29

申请号：US18503055

申请日：2023-11-06

Applicant: Maplebear Inc.

Inventor： Amy Luong ,  Michael Righi ,  Graham Adeson ,  Ross Stuart Williams ,  Aman Jain ,  Radhika Anand ,  Ganesh Krishnan

IPC: G06Q30/0601

CPC classification number: G06Q30/0635 ,  G06Q30/0639 ,  G06Q30/0641

Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.

公开(公告)号：US20220343395A1

公开(公告)日：2022-10-27

申请号：US17238217

申请日：2021-04-23

Applicant: Maplebear, Inc.(dba Instacart)

Inventor： Amy Luong ,  Michael Righi ,  Graham Adeson ,  Ross Stuart Williams ,  Aman Jain ,  Radhika Anand ,  Ganesh Krishnan

IPC: G06Q30/06

Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.

公开(公告)号：US12223538B2

公开(公告)日：2025-02-11

申请号：US18503055

申请日：2023-11-06

Applicant: Maplebear Inc.

Inventor： Amy Luong ,  Michael Righi ,  Graham Adeson ,  Ross Stuart Williams ,  Aman Jain ,  Radhika Anand ,  Ganesh Krishnan

IPC: G06Q30/00 ,  G06Q30/0601

Abstract: For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.