Machine learning techniques for rebuilding transactions to predict cash position
US12118546B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2022 |
| Grant date | Oct 15, 2024 |
| Priority date | — |
| Expiry date | Jun 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0464
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning techniques are disclosed for rebuilding transactions to predict cash position. In one aspect a method includes obtaining data for an original transaction, classifying the original transaction into a class of multiple classes based on the data, predicting first tranche delay days for the original transaction based on the class and the data, predicting a tranche count for the original transaction based on the class and the data, predicting a tranche interval for the original transaction based on the class and the data; and rebuilding the original transaction as one or more future transactions based on the class, the first tranche delay days, the tranche count, and tranche interval. Each of the one or more future transactions comprise an updated amount of the original transaction, an updated date upon which the original transaction is anticipated, or both.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.