Picking sequence optimization within a warehouse for an item list
US12217203B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 17, 2023 |
| Grant date | Feb 4, 2025 |
| Priority date | — |
| Expiry date | Aug 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0633
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An online concierge system receives a delivery order containing a list of items, generates a suggested picking sequence for picking the delivery order in a warehouse, and transmits the suggested picking sequence to a mobile device of the shopper. Generating the suggested sequence includes applying a trained item sequence model to the delivery order. Training the item sequence model includes accessing data about a set of historical orders, determining a pairwise distance between each pair of aisles in the warehouse based on the data about the set of historical orders, and generating a distance graph based on the pairwise distance between each pair of aisles in the warehouse. The plurality of nodes represent a plurality of aisles in the warehouse, and the plurality of edges represent pairwise distances between pairs of aisles.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.