MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641099954 A) filed by Saveetha Institute Of Medical And Technical Sciences on August 19, 2026, for Dealhive.
Inventors include Sk. Abdul Shaheed; Dr Sathish Kumar; and Dr Ramya Mohan.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: In response to the growing complexity of consumer decision-making in e-commerce, particularly for electronic products with multiple specifications and pricing factors, this project focuses on developing an AI-powered product comparison mobile application. The application provides a structured and intelligent platform that simplifies product evaluation through side-by-side comparisons, automated pros and cons analysis, personalized AI-generated recommendations, and augmented reality visualization. The app specializes in electronics including mobiles, laptops, TVs, cameras, headphones, and smartwatches. It operates on a dual-source system consisting of a pre-loaded product library with stored specifications and a dynamic external integration feature that extracts product data from e-commerce platforms via pasted URLs. The AT Comparison Engine serves as the core intelligence, analyzing specifications, user preferences, and contextual factors to generate clear, human- readable purchase recommendations. For externally added products, the application includes an offer aggregation system that identifies bank offers, credit card discounts, and promotional savings, automatically calculating effective prices and highlighting the better deal. The pre-loaded library enables instant comparison of commonly searched products, while URL-based integration allows users to compare any electronic product available online. A key differentiating feature is the AR (Augmented Reality) view for supported categories such as mobiles, TVs, and laptops, allowing users to visualize products at real scale within their environment, reducing size-related confusion and return risk. The system also provides intelligent best-alternative suggestions when a selected product is overpriced or unsuitable. Overall, the application delivers a transparent, efficient, and intelligent comparison system based on real factors rather than marketing claims, combining product analysis, pricing intelligence, Al reasoning, and visualization to reduce decision fatigue and enable smarter electronics purchasing users can paste two product links, compare their details instantly, and directly proceed to purchase through a secure redirection to the original app or platform.
Disclaimer: Curated by HT Syndication.
