System to predict service level failure in supply chains
US12260370B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2018 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | Apr 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/087
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are disclosed for a low-touch centralized system to predict service level failure in a supply chain using machine learning. Embodiments include receiving only historical supply chain data from an archiving system for one or more supply chain entities storing items at stocking locations, predicting one or more supply chain events during a prediction period by applying a predictive model to a sample of historical supply chain data, calculating an occurrence risk score for at least one of the one or more supply chain events and indicating a possibility that the at least one of the one or more supply chain events will occur, generating one or more alerts identifying at least one item and at least one alert stocking location, rendering an alert heatmap visualization comprising one or more selectable user interface elements, and provide one or more tools for initiating corrective actions to be undertaken.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.