MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611060559 A) filed by New Delhi Institute Of Management on May 13, 2026, for Automated System For Dynamic Workforce Compensation Calibration Using Integrated Neural Networks And Market Volatility Analytics.
Inventors include Dr. Teena Singh; Dr. Monica Verma; Dr. Vinod Kumar; Dr. Komal J Khatter; and Prof. Parveen Kaur.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention discloses an automated system for dynamic workforce compensation calibration using integrated neural networks and market volatility analytics. The system comprises a Workforce Data Integration Module (101), a Data Preprocessing and Normalization Engine (102), an Integrated Neural Networks Compensation Engine (103), a Market Volatility Analytics Engine (104), a Dynamic Compensation Calibration Engine (105), and a Decision-Support Dashboard (107). The system collects and processes workforce, payroll, and market-related data from enterprise systems, HRMS platforms, payroll databases, and labor market intelligence sources. Artificial intelligence and machine learning models analyze historical and real-time datasets to identify compensation trends, salary inequities, workforce retention risks, and payroll optimization opportunities. The Market Volatility Analytics Engine evaluates economic indicators and compensation benchmarks to assess market-driven impacts on remuneration structures. The Decision-Support Dashboard generates real-time compensation visualizations, benchmarking scorecards, and predictive payroll insights for organizational decision-making. The invention improves compensation fairness, workforce retention, payroll efficiency, and strategic workforce planning through intelligent and adaptive compensation calibration mechanisms.
Disclaimer: Curated by HT Syndication.
