Intellectual Property India Publishes Patent Application for 'An AI-Driven Organizational Learning And Skill Alignment System For Adaptive Workforce Management' Filed by Mr. Siva Ram Prasad Vanga; Dr. Tatayya Bommali; Dr. Botcha Swapna Madhavi; Mr. Kalagana Tulasi Raviteja; Mr. Kancharana Lokanadham; Mr. P. Srinivas; Mrs. Vatada Sudha Rani; Mrs. Devana Surekha; and Mrs. Sivini Vysali

MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025498 A) filed by Mr. Siva Ram Prasad Vanga; Dr. Tatayya Bommali; Dr. Botcha Swapna Madhavi; Mr. Kalagana Tulasi Raviteja; Mr. Kancharana Lokanadham; Mr. P. Srinivas; Mrs. Vatada Sudha Rani; Mrs. Devana Surekha; and Mrs. Sivini Vysali, Visakhapatnam, Andhra Pradesh, on March 4, for 'an ai-driven organizational learning and skill alignment system for adaptive workforce management.'

Inventor(s) include Mr. Siva Ram Prasad Vanga; Dr. Tatayya Bommali; Dr. Botcha Swapna Madhavi; Mr. Kalagana Tulasi Raviteja; Mr. Kancharana Lokanadham; Mr. P. Srinivas; Mrs. Vatada Sudha Rani; Mrs. Devana Surekha; and Mrs. Sivini Vysali.

The application for the patent was published on March 13, under issue no. 11/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a computer-implemented management system configured to align employee competencies with organizational objectives through artificial intelligence-driven learning analytics. The system integrates workforce data, performance metrics, training records, and strategic business goals to dynamically assess skill gaps and recommend personalized learning pathways. In one embodiment, the invention comprises a skill mapping engine, a predictive analytics module, and a continuous feedback mechanism configured to evaluate employee performance and future role requirements. The system utilizes machine learning algorithms to generate real-time insights for workforce planning, leadership development, succession management, and productivity optimization. An adaptive recommendation engine provides targeted training interventions to enhance employee capabilities in alignment with evolving organizational demands. The invention further includes dashboard interfaces for managerial decision support and strategic resource allocation. By enabling continuous learning, data-driven talent alignment, and proactive workforce planning, the proposed system enhances organizational agility, operational efficiency, and long-term competitive performance in dynamic business environments."

Disclaimer: Curated by HT Syndication.