MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611027421 A) filed by Manipal University, Jaipur, Rajasthan, on March 9, for 'artificial intelligence based supply chain demand forecasting system and method.'
Inventor(s) include Himani Purawat; Sakshi Dubey; Dr. Shivendra Dubey; and Dr. Rahul Sharma.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an Artificial Intelligence based supply chain demand forecasting system for supply chain planning and execution, wherein the system informs decision-making across procurement, production, inventory management, and distribution. The system comprises a hybrid ML-DL and statistical forecasting architecture, real-time data integration, industry-agnostic modular customization, explainable AI capabilities, scalable cloud deployment, and anomaly detection with automatic forecast correction to enhance accuracy, transparency, and operational efficiency. For over decades, organizations have used many different traditional forecasting approaches such as inventory-based, rule based, qualitative and market research, time series analysis, regression models, and expert opinion. These approaches do provide a starting point to gain insight into demand, but they don't have accuracy and are less scalable and hence struggle to adapt changes in market conditions. The possibilities of contemporary AI approaches (including machine learning, deep learning, and hybrid models) and the opportunities they provide for demand forecasting, that include greater predictive capabilities, real time adaptability, improved decision making. The applications of AI for forecasting through both off-the-shelf solutions and custom developed solutions, including the benefits of each approach and their applications."
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