MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085100 A) filed by Dr. K. Prakash; Dr. M. Sadik Ali; Mr. Karthick S; Dr. L. Gokila; Mrs. S. Girija Saravanan; Dr. R. Shanmugapriya; Ms. Deepa S; Dr. G. Agalya; Dr. D. Mahalingam; and Dr. S. Revathy on July 11, 2026, for Predictive Workforce Engagement Measurement Using Behavioral Analytics.
Inventors include Dr. K. Prakash; Dr. M. Sadik Ali; Mr. Karthick S; Dr. L. Gokila; Mrs. S. Girija Saravanan; Dr. R. Shanmugapriya; Ms. Deepa S; Dr. G. Agalya; Dr. D. Mahalingam; and Dr. S. Revathy.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT PREDICTIVE WORKFORCE ENGAGEMENT MEASUREMENT USING BEHAVIORAL ANALYTICS This innovation proposes an automated, AI-powered workforce health and productivity forecasting architecture designed to monitor, evaluate, and enhance employee engagement within modern corporate environments. The platform integrates advanced Natural Language Processing (NLP), Neural Network-driven behavioral pattern analysis, Predictive Fatigue Analytics, and anonymized interaction mapping modules to provide real-time burnout indicators, dynamic engagement metrics, and localized management intervention recommendations. A core differentiator of the system is the Context-Aware Organizational Engagement Engine (CAOEE), which automatically analyzes department-specific operational baselines, structures dynamic baseline communication patterns, and cross-references them against continuous digital signals to ensure context-specific engagement modeling. By supporting both synchronous real-time active alerting and asynchronous aggregate workforce drift mapping, the platform effectively mitigates organizational turnover, identifies implicit structural friction, and bridges the gap between workforce sentiment and corporate wellness goals. The tool is highly adaptable for corporate human resource departments, enterprise leadership, and distributed hybrid or remote workforces.
Disclaimer: Curated by HT Syndication.
