公开(公告)号：US20230316350A1

公开(公告)日：2023-10-05

申请号：US17853619

申请日：2022-06-29

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Benjamin Knight ,  Benjamin Peyrot ,  Djordje Gluhovic ,  Rohit Turumella ,  Alice Han

IPC: G06Q30/04 ,  G06Q20/20 ,  G06Q40/00

CPC classification number: G06Q30/04 ,  G06Q20/207 ,  G06Q40/10

Abstract: An online concierge system requests an image of a receipt of an order from a picker after the picker fulfills the order at a store. The online concierge system performs image processing on the image of the receipt and uses machine learning and optical character recognition to determine a tax amount paid for the order and a confidence score associated with the tax amount. The online concierge system may use the machine learning model for segmenting extracted text in the image of the receipt into tokens. The online concierge system may then determine at least one token associated with a tax item and the tax amount associated with the tax item. The online concierge system communicates the tax amount to the store for reimbursement based on the tax amount and the confidence score.

公开(公告)号：US11854063B2

公开(公告)日：2023-12-26

申请号：US16734273

申请日：2020-01-03

Applicant: Maplebear, Inc.

Inventor： Mingzhe Zhuang ,  Camille Van Horne ,  Christopher Rudnick ,  Benjamin Knight ,  Chris Jenkins ,  Victoriya Andonova ,  Djordje Gluhovic ,  Riddhima Sejpal ,  Maksim Golivkin ,  Sharath Rao Karikurve

IPC: G06Q30/00 ,  G06Q30/0601

CPC classification number: G06Q30/0635 ,  G06Q30/0639

Abstract: Based on orders fulfilled by shoppers of an online concierge system, the online concierge system identifies items in an order that are difficult to find in a warehouse in which the order is fulfilled. When a shopper obtains a difficult to find item from the warehouse, the online concierge system prompts the shopper to provide information for finding the difficult to find item in the warehouse. The online concierge system stores the information for finding the difficult to find item from the shopper in association with the difficult to find item and with the warehouse. Subsequently, when a different shopper is fulfilling an order from the warehouse including the difficult to find item, the online concierge system displays the information for finding the difficult to find item in the warehouse to the different shopper.

公开(公告)号：US20240078591A1

公开(公告)日：2024-03-07

申请号：US18509157

申请日：2023-11-14

Applicant: Maplebear Inc.

Inventor： Mingzhe Zhuang ,  Camille van Horne ,  Christopher Rudnick ,  Benjamin Knight ,  Chris Jenkins ,  Viktoriya Andonova ,  Djordje Gluhovic ,  Riddhima Sejpal ,  Maksim Golivkin ,  Sharath Rao Karikurve

IPC: G06Q30/0601

CPC classification number: G06Q30/0635 ,  G06Q30/0639

Abstract: Based on orders fulfilled by shoppers of an online concierge system, the online concierge system identifies items in an order that are difficult to find in a warehouse in which the order is fulfilled. When a shopper obtains a difficult to find item from the warehouse, the online concierge system prompts the shopper to provide information for finding the difficult to find item in the warehouse. The online concierge system stores the information for finding the difficult to find item from the shopper in association with the difficult to find item and with the warehouse. Subsequently, when a different shopper is fulfilling an order from the warehouse including the difficult to find item, the online concierge system displays the information for finding the difficult to find item in the warehouse to the different shopper.

公开(公告)号：US12260438B2

公开(公告)日：2025-03-25

申请号：US17853619

申请日：2022-06-29

Applicant: Maplebear Inc.

Inventor： Benjamin Knight ,  Benjamin Peyrot ,  Djordje Gluhovic ,  Rohit Turumella ,  Alice Han

IPC: G06Q30/04 ,  G06Q20/20 ,  G06Q40/10 ,  G06Q40/12

Abstract: An online concierge system requests an image of a receipt of an order from a picker after the picker fulfills the order at a store. The online concierge system performs image processing on the image of the receipt and uses machine learning and optical character recognition to determine a tax amount paid for the order and a confidence score associated with the tax amount. The online concierge system may use the machine learning model for segmenting extracted text in the image of the receipt into tokens. The online concierge system may then determine at least one token associated with a tax item and the tax amount associated with the tax item. The online concierge system communicates the tax amount to the store for reimbursement based on the tax amount and the confidence score.

公开(公告)号：US20200219171A1

公开(公告)日：2020-07-09

申请号：US16734273

申请日：2020-01-03

Applicant: Maplebear, Inc. (dba Instacart)

Inventor： Mingzhe Zhuang ,  Camille Van Horne ,  Christopher Rudnick ,  Benjamin Knight ,  Chris Jenkins ,  Vicky Andonova ,  Djordje Gluhovic ,  Riddhima Sejpal ,  Maksim Golivkin ,  Sharath Rao

IPC: G06Q30/06

Abstract: Based on orders fulfilled by shoppers of an online concierge system, the online concierge system identifies items in an order that are difficult to find in a warehouse in which the order is fulfilled. When a shopper obtains a difficult to find item from the warehouse, the online concierge system prompts the shopper to provide information for finding the difficult to find item in the warehouse. The online concierge system stores the information for finding the difficult to find item from the shopper in association with the difficult to find item and with the warehouse. Subsequently, when a different shopper is fulfilling an order from the warehouse including the difficult to find item, the online concierge system displays the information for finding the difficult to find item in the warehouse to the different shopper.