MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061671 A) filed by Saveetha Engineering College on May 15, 2026, for Ai Powered Employee Turnover Prediction Using Behavioral Analytics.
Inventor includes Dr. Deepa Manokaran.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT The invention relates to an Al-powered approach for predicting employee turnover using behavioural analytics. It focuses on analysing multiple factors influencing employee attrition, including performance metrics, engagement levels, job satisfaction, attendance patterns, and employee feedback. By integrating both structured and unstructured data, the approach provides a comprehensive understanding of workforce dynamics. techniques are utilized to identify patterns and factors, enabling accurate prediction of employee of behavioural analytics, such as sentiment and Overall, the invention offers a scalable, data-driven solution that improves prediction accuracy, reduces employee turnover, and enhances organizational performance through effective talent management. Advanced machine learning relationships among various turnover risk. The inclusion engagement analysis, enhances the depth and reliability of predictions compared to traditional methods. The invention further provides real-time insights into employee attrition risks along with interpretable outputs that highlight key contributing factors. It supports proactive decision-making by enabling organizations to identify high-risk employees and implement targeted retention strategies.
Disclaimer: Curated by HT Syndication.
