Machine learning enabled supplier monitor
US11727334B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 7, 2021 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Dec 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method may include applying, to a content associated with a first supplier, a machine learning model to determine one or more objectives of an enterprise affected by an incident associated with the content. A change in a first risk associated with the first supplier may be detected based on the objectives affected by the incident. In response to detecting the change in the first risk of the first supplier, a cost associated with replacing the first supplier with the second supplier may be determined by applying the machine learning model to analyze a first electronic document associated with the first supplier. If the cost of replacing the first supplier with the second supplier and/or a second risk of the second supplier satisfy one or more thresholds, a second electronic document associated with the second supplier may be generated to address the second risk of the second supplier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.