Machine-learned script generation for database modifications
WO2025189050A8 Publication Date: 2025-10-02GUSTO INC
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Patent Information
- Application Number
- PCT/US2025/018820
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-03-08
- Filing Date
- 2025-03-06
- Publication Date
- 2025-10-02
AI Technical Summary
Technical Problem
The challenge of migrating employee data between different database systems is labor-intensive and error-prone, leading to inaccuracies such as incorrect payroll calculations and compliance violations due to variations in data formats and formats peculiarities.
Method used
Employing machine-learned models to automatically generate executable scripts that transform payroll data from one format to another, utilizing historical employee spreadsheets and associated modified spreadsheets to identify similar data entries and apply data modification operations.
Benefits of technology
Automated data transformation reduces human error and ensures accurate data migration, enhancing compliance and reducing the risk of payroll discrepancies.
✦ Generated by Eureka AI based on patent content.
Abstract
A central database system accesses historical employee spreadsheets along with their modified versions, which have undergone data modification operations. The system creates a training dataset from those spreadsheets to train a machine-learned model. The model is configured to analyze a target employee spreadsheet, identify a historical spreadsheet similar to it, and generate executable scripts based on data modifications performed on the identified historical spreadsheet. The set of scripts is applied to the target spreadsheet to produce a target modified spreadsheet, mimicking historical modification. The modified spreadsheet is sent to an employee spreadsheet processing system for further processing.
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