Autonomous supply chain data hub and platform
US11934365B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 27, 2021 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Dec 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method of autonomous data hub processing that uses semantic metadata, machine learning models, and a permissioned blockchain to autonomously standardize, identify and correct errors in supply chain data is disclosed. Embodiments input supply chain data stored in a supply chain database, train with the machine learning model trainer, one or more machine learning models to identify one or more data errors in the supply chain data, clean the one or more identified data errors from the supply chain data, and store cleaned supply chain data. Embodiments also update one or more machine learning models to identify one or more data errors in cleaned supply chain data, and join and aggregate one or more sets of cleaned supply chain data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.