Intelligent expense report determination system
US12026788B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2021 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | Jul 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q20/4016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure provide a computerized method and system that utilizes reference expense reports to build and train one or more neural network learning models that intelligently determine the riskiness of to-be-determined expense reports submitted for reimbursement. In examples, a determined riskiness may inform a reimbursement entity manager when determining whether to approve, reject, and/or flag for further review a to-be-determined expense report. In instances, computerized expense report resolution systems and methods may be further automated in order to omit user interactions with to-be-determined expense reports, such that an intelligent computer determines whether to approve, reject, and/or flag a to-be-determined expense report based on the intelligently determined riskiness of the to-be-determined expense report.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.