Invention Grant
- Patent Title: Online shopping system and method for selecting a warehouse for inventory based on predicted availability and predicted replacement machine learning models
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Application No.: US18218967Application Date: 2023-07-06
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Publication No.: US12002084B2Publication Date: 2024-06-04
- Inventor: Shishir Kumar Prasad , Sharath Rao Karikurve , Diego Goyret
- Applicant: Maplebear Inc.
- Applicant Address: US CA San Francisco
- Assignee: Maplebear Inc.
- Current Assignee: Maplebear Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Fenwick & West LLP
- Main IPC: G06Q30/0601
- IPC: G06Q30/0601 ; G06N5/04 ; G06N20/00 ; G06Q10/087 ; G06Q30/0201 ; G06Q30/0204

Abstract:
An online concierge system allows users to order items from a warehouse having multiple physical locations, allowing a user to order items at any given warehouse location. To select a warehouse location for a warehouse selected by a user, the online concierge system identifies a set of items that the user has a threshold likelihood of purchasing from prior orders by the user. For each of a set of warehouse locations, the online concierge system applies a machine-learned item availability model to each item of the identified set. From the availabilities of items of the set at each warehouse location of the set, the online concierge system selects a warehouse location. The online concierge system identifies an inventory of items from the selected warehouse location to the user for inclusion in an order.
Public/Granted literature
Information query