MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202611089709 A) filed by Krishna Institute Of Engineering & Technology Kiet on July 23, 2026, for “a Machine Learning-Based Sales Forecasting, Strategy Optimization System And A Process Thereof”.
Inventors include Abhinav Verma; Shivam Yadav; Atishay Chaurasia; Swasti Singhal; Prince Gupta; and Ashima Arya.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention relates to a machine learning-based sales forecasting and strategy optimization system and a process thereof. The system comprises a data acquisition module, preprocessing engine, predictive analytics engine, and strategy optimization engine. Retail transaction data is processed through normalization, encoding, and feature transformation procedures before being analyzed using an Extreme Gradient Boosting model configured to predict future sales volumes. Predicted outputs are supplied to a strategy optimization engine that performs price elasticity simulations across multiple discount scenarios to identify optimal pricing thresholds associated with revenue maximization and inventory efficiency. The generated recommendations are communicated to enterprise systems, e-commerce platforms, point-of-sale infrastructure, and electronic shelf label systems. The invention provides an integrated predictive and prescriptive analytics framework for improving forecasting accuracy, pricing decisions, inventory utilization, and operational efficiency.
Disclaimer: Curated by HT Syndication.
