MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134295 A) filed by Karpagam Academy Of Higher Education; Karpagam Institute Of Technology; K. Renuga; and M I Mohammed Ismail, Coimbatore, Tamil Nadu, on Dec. 31, 2025, for 'price comparison.'
Inventor(s) include K. Renuga; and M I Mohammed Ismail.
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: "This invention presents an intelligent, automated price comparison system designed to address the limitations of traditional, manual, and static price evaluation methods. As digital marketplaces expand and online retail platforms continuously evolve, the availability and complexity of pricing information have increased significantly. Conventional comparison techniques lack scalability, accuracy, and the capability to process dynamic, real-time updates across diverse sources. To overcome these challenges, the proposed system integrates advanced data acquisition, preprocessing, and analytical technologies to deliver a robust, efficient, and multi-dimensional price comparison framework. The invention employs automated web scraping tools, API connectors, and crawler-based mechanisms to extract real-time pricing data from e-commerce websites, vendor databases, and service platforms. A dedicated preprocessing module performs data cleaning, normalization, deduplication, and structural alignment to handle inconsistencies arising from heterogeneous data formats. The refined data is processed by a comprehensive analytical engine that combines statistical methods, clustering algorithms, and machine learning models to detect price variations, identify anomalies, classify similar products, and analyze market behaviors. By incorporating additional attributes such as product specifications, vendor reliability scores, customer reviews, and geographical parameters, the system enables context-aware and accurate price comparison. Furthermore, the invention integrates predictive analytics to forecast future pricing trends using historical data and pattern-recognition techniques. This capability enhances decision-making for both consumers and organizations by offering insights into optimal purchasing periods and potential market fluctuations. The processed results are presented to users through an interactive visualization interface, including price comparison tables, dynamic charts, heatmaps, and recommendation scores. A real-time alert mechanism notifies users of sudden price changes or discount opportunities. Overall, this invention provides a scalable, automated, and technically advanced solution for comprehensive price comparison. Its ability to handle large datasets, analyze multi-dimensional factors, and deliver real-time insights positions it as a transformative tool for modern digital marketplaces and business intelligence applications."
Disclaimer: Curated by HT Syndication.
