Predictive model based identification of potential errors in electronic tax return
US10915972B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 7, 2019 |
| Grant date | Feb 9, 2021 |
| Priority date | — |
| Expiry date | May 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/123
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Computer-implemented methods, articles of manufacture and computerized systems for identifying or alerting a user of certain data in electronic tax returns. A computerized tax return preparation system including a tax return preparation software application executed by a computing device receives first and second tax data and populates respective fields of the electronic tax return. The system executes a predictive model such as logistic regression, naive bayes, K-means clustering, clustering, k-nearest neighbor, and neural networks. First tax data is an input into the predictive model, which generates an output, which is compared with second tax data. An alert is generated when the second tax data does not satisfy pre-determined criteria relative to the first output generated by the predictive model. The same or other predictive model may be used as additional tax data is received for subsequent tax data analysis.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.