Machine learning based decision model to open and close enterprise facilities
US11605041B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 13, 2020 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | Aug 13, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/1093
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure relate to a decision model to open and close enterprise facilities. A computing platform may receive one or more attributes associated with an operation of an enterprise facility. Subsequently, the computing platform may identify, based on the one or more attributes, a business operation rule for the enterprise facility. Then, the computing platform may determine, based on the one or more attributes and the business operation rule, an operational parameter for the enterprise facility. Then, the computing platform may compare the operational parameter to a threshold parameter, where the threshold parameter may be indicative of whether to keep the enterprise facility open for business. Then, the computing platform may, upon a determination that the operational parameter fails to exceed the threshold parameter, determine to temporarily close the enterprise facility. Then, the computing platform may redistribute user traffic to one or more open customer resource facilities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.