Transaction exception and fraud processing
US11763192B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2019 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Aug 29, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG07G3/003
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A machine-learning algorithm is trained with features relevant to transaction exceptions, distributions of items in transaction mapped to product hierarchies, and operator data. The trained algorithm is trained to predict whether a given transaction requires a transaction exception for potential fraud or for management approval. The trained algorithm is then provided a set of in-progress input data for an in-progress transaction being processed on a transaction terminal. Output from the trained algorithm is used to determine whether the in-progress transaction is allowed to continue processing unabated or whether the in-progress transaction is to be suspended with a transaction exception requiring a manager override or security credential to continue processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.