MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521119106 A) filed by Dr. Rajesh Sudhakar Dongare; Dr. Satish Manikrao Dhoke; Dr. Sunil Shravan Nimbhore; Mr. Ganesh Ramesh Yergude; and Dr Satish G Athawale, Chandrapur, Maharashtra, on Nov. 28, 2025, for 'adaptive ai model for dynamic pricing optimization in online retail marketing.'
Inventor(s) include Dr. Rajesh Sudhakar Dongare; Dr. Satish Manikrao Dhoke; Dr. Sunil Shravan Nimbhore; Mr. Ganesh Ramesh Yergude; and Dr Satish G Athawale.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Adaptive AI Model for Dynamic Pricing Optimization in Online Retail Marketing Adaptive Artificial Intelligence Model for Dynamic Pricing Optimization in Online Retail Marketing, designed to enhance revenue generation, customer satisfaction, and competitive market positioning by continuously adjusting product prices based on multidimensional real-time data. The proposed system integrates machine learning, reinforcement learning, demand forecasting, competitor analysis, and behavioral analytics to dynamically infer optimal pricing strategies tailored to fluctuating market environments. Unlike conventional rule-based or static pricing models, this invention utilizes a self-learning engine capable of analyzing customer browsing patterns, historical sales data, product life cycles, promotion effectiveness, inventory conditions, and external market signals to automatically generate adaptive pricing recommendations. The AI model employs multi-objective optimization, balancing profit maximization, conversion rate improvement, inventory turnover, and customer lifetime value while preventing overpricing and underpricing scenarios. A real-time data ingestion module continuously captures and normalizes heterogeneous data streams, while an AI controller evaluates predicted outcomes, price elasticity, and demand sensitivity to determine the most advantageous price point for each product at any given moment."
Disclaimer: Curated by HT Syndication.
