Online shopping system and method for selecting a warehouse for inventory based on predicted availability and predicted replacement machine learning models
US11734749B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 14, 2021 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Jun 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.