Predictive modeling method and system for dynamically quantifying employee growth opportunity
US11775897B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 2, 2019 |
| Grant date | Oct 3, 2023 |
| Priority date | — |
| Expiry date | May 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with work scheduling, employee compensation, and employee turnover; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of employee turnover in relation to work scheduling and employee compensation; converts the predicted values of employee turnover in the database into percentages of observed values of employee turnover for a selected group of employers over a specified time period to create indices of employee turnover; and rank orders the selected employers according to their indices of employee turnover.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.