MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641083217 A) filed by Saveetha Institute Of Medical And Technical Sciences on July 07, 2026, for Ai- Driven Digital Twin For Market Behaviour.
Inventors include Mr. V. S. Chakravarthi; Dr. Bharathadevi; and Dr Ramya Mohan.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The AI-Driven Digital Twin for Market Behaviour is a next-generation intelligence system designed to model, simulate, and predict real-world market dynamics using real-time data streams, machine learning, and behavioural analytics. Instead of merely collecting static information, the system creates a continuously evolving digital replica of the market ecosystem—including consumer patterns, competitor actions, pricing shifts, and emerging trends. This digital twin learns and adapts over time, offering predictive insights rather than reactive analysis. Using data from multiple trusted sources such as websites, APIs, social media sentiment, and competitor platforms, the system processes and transforms unstructured data into actionable intelligence. The platform also delivers visual analytics, anomaly detection alerts, and strategic foresight to help businesses make faster, data-backed decisions. By combining data fusion, advanced analytics, and real-time simulation, this solution provides a smarter and proactive approach to market monitoring, enabling businesses to predict outcomes, optimize strategies, and stay ahead in rapidly changing competitive environments. The digital twin autonomously predicts future events such as demand spikes, pricing sensitivity, emerging trend cycles, supply chain risks, and competitive disruptions. Users gain access to realtime insights, predictive decision support, risk simulations, and automated strategy optimization. Industries such as retail, stock trading, e-commerce, supply chain management, and strategic business intelligence can integrate the system for operational forecasting, competitive benchmarking, demand planning, and real-time business response automation. By transforming reactive decision-making into proactive and predictive planning, this invention enables organizations to reduce market uncertainty, accelerate business agility, optimize investment decisions, and achieve sustained competitive advantage. With applications across sectors such as retail, finance, e-commerce, logistics, marketing, government policy planning, and emerging technology markets, this invention enables decision-makers to transition from reactive strategies to predictive intelligence frameworks.
Disclaimer: Curated by HT Syndication.
