Expense-type audit machine learning modeling system
US12266021B2 · kind B2 · utility
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19Claims
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Key dates
| Filing date | Apr 29, 2022 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Mar 23, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for training a machine learning model to use comments entered by a user submitting an expense to determine a correct expense type. The trained machine learning model is used to predict an expense type by analyzing submitted text comments corresponding to a submitted expense. The expense can be flagged if a mismatch is determined between the expense type of the submitted expense and the predicted expense type, or the submitted expense can be automatically updated to the predicted expense type.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.