Optimizing delivery routing using machine learning systems
US11501247B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 13, 2019 |
| Grant date | Nov 15, 2022 |
| Priority date | — |
| Expiry date | Apr 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for using machine learning to estimate courier arrival times are described herein. According to an embodiment, a server computer receives a request to deliver to a requester prepared items associated with a preparation entity. The server additionally receives courier data identifying available couriers within the geographic region of the preparation entity and current request data identifying current requests to deliver prepared items from a plurality of entities in the geographic region. The server uses a trained machine learning system to compute an estimated pickup time, using at least the courier data and courier request data as inputs. The server computer then routes a preparation request to the preparation entity along with the estimated pickup time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.