Estimating shipping costs with machine learning
US11544661B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 19, 2020 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | Feb 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/0838
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are system, method, and computer program product embodiments for estimating shipping costs of items purchased in an online market using machine learning techniques. By determining in real-time the dimensional weight of an item with reference to a machine learning model describing past transactions, a buyer and seller in the online market can finalize the transaction in real-time. The machine learning model further implements a bias within the machine learning algorithm towards heavier estimation to avoid undercharging the market participants for shipping costs. One embodiment involves using these cost-estimation techniques in the context of a local shipping feature, which allows buyers and sellers to schedule a same-day delivery by seamlessly involving a local carrier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.