MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641091273 A) filed by Mrs. V. Rajalakshmi; and Dr. S. Anthony Rahul Golden on July 27, 2026, for Personalized Dairy Product Recommendation And Purchase Optimization System.
Inventors include Mrs. V. Rajalakshmi; and Dr. S. Anthony Rahul Golden.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to a Personalized Dairy Product Recommendation and Purchase Optimization System that employs artificial intelligence, machine learning, and data analytics to generate personalized dairy product recommendations while optimizing purchasing decisions. The system comprises a user interface module, consumer profile management module, data acquisition module, nutritional intelligence module, machine learning-based recommendation engine, purchase optimization module, inventory intelligence module, seasonal demand prediction module, retailer analytics module, and a centralized database. Consumer information including purchase history, dietary preferences, nutritional requirements, health conditions, browsing behavior, and budget constraints is collected and processed to construct dynamic user profiles. The recommendation engine evaluates dairy products using nutritional attributes, consumer preferences, product availability, pricing, promotional offers, freshness, and inventory status to generate ranked recommendations. The purchase optimization module identifies cost-effective purchasing options by considering discounts, loyalty rewards, bundled offers, and real-time pricing. The system further incorporates seasonal demand prediction and inventory monitoring to improve recommendation relevance, reduce food wastage, and enhance stock utilization. Continuous learning mechanisms utilize consumer feedback and purchasing behavior to improve recommendation accuracy over time. Retailers benefit from analytical reports related to customer segmentation, demand forecasting, inventory management, and promotional effectiveness. The modular architecture supports integration with mobile applications, e-commerce platforms, retail management systems, cloud infrastructure, and smart inventory technologies. The proposed invention improves consumer satisfaction, promotes healthier purchasing decisions, optimizes operational efficiency, minimizes inventory losses, and provides an intelligent, scalable, and adaptive platform for personalized dairy product recommendation and purchase optimization in both online and offline retail environments.
Disclaimer: Curated by HT Syndication.
