Analysis and correction of supply chain design through machine learning
US10846651B2 · kind B2 · utility
6Cited by
2References
17Claims
0Family size
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Key dates
| Filing date | Dec 18, 2018 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | May 3, 2039 |
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.