Analysis and correction of supply chain design through machine learning
US11887044B2 · kind B2 · utility
0Cited by
8References
18Claims
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Key dates
| Filing date | May 10, 2022 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | May 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A dynamic supply chain planning system for analysis of historical lead time data that uses machine learning algorithms to forecast future lead times based on historical lead time data, weather data and financial data related to locations and dates within the supply chain.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.