Pricewise AI: An E-Commerce Price Comparison System

Abstract

Growing competition among online retail platforms has made it considerably challenging for buyers to locate the most affordable option for a given product within a practical time frame. Prices, discounts, ratings, and inventory availability for identical products often differ substantially across e-commerce websites, compelling shoppers to visit numerous platforms individually before making a purchase decision. This manual process is tedious, repetitive, and susceptible to missed opportunities. PriceWise AI is a browser-based price aggregation tool built to streamline this experience through automated product discovery and intelligent multi-source comparison. Users can initiate a search either by typing a product name or by submitting a direct product link. The platform then gathers matching product data from several major online stores Amazon, Flipkart, and Croma and consolidates the results within a single, cohesive display. Key features include automatic identification of the cheapest available listing, flexible sorting by price or user rating, and one-click navigation to the respective retailer\'s product page. Beyond its comparison core, PriceWise AI integrates user account management, profile customization, and a conversational AI chatbot to improve overall accessibility. The system is developed with React, TypeScript, Tailwind CSS, Supabase, and serverless edge functions. Through the convergence of automated data retrieval, unified result presentation, and user-centric design, PriceWise AI delivers a robust and extensible solution for enhancing transparency and efficiency in digital purchasing.

Introduction

The text describes PriceWise AI, a full-stack e-commerce comparison platform designed to solve the problem of fragmented online shopping information.

With the growth of e-commerce, the same product often appears across multiple platforms with different prices, ratings, and availability, making it difficult for users to manually compare options. Existing retail sites usually operate in isolation, forcing users to spend extra time and effort searching for the best deal.

To address this, PriceWise AI aggregates product listings from multiple stores such as Amazon, Flipkart, and Croma. It allows users to search using either a product name or a direct URL. The system then retrieves, cleans, and standardizes product data (price, rating, reviews, availability, etc.) so that items can be accurately compared across platforms.

A ranking system automatically identifies the lowest-priced in-stock option as the best deal, while still allowing users to sort results by price or rating. The interface presents results in a clear, card-based design with product details, savings comparisons, and direct links to retailer pages for quick purchase.

Built using a React frontend, Supabase backend, and serverless edge functions, the system also includes user authentication, personalization features, and an AI-powered chatbot for assistance.

Conclusion

PriceWise AI presents a focused and practical answer to the widespread challenge of fragmented online shopping. In the current digital retail landscape, buyers are routinely expected to visit multiple e-commerce platforms, evaluate prices independently, and weigh product quality across inconsistent listing formats before arriving at a purchase decision. PriceWise AI removes this burden by acting as a centralized, intelligent shopping interface — one that gathers, organizes, and ranks product information from several major retailers and presents it through a single, coherent view. The combination of automated multi-source retrieval, structured data normalization, price-based ranking, best-deal identification, and direct retailer navigation collectively transforms what has historically been a fragmented and time-consuming process into a streamlined, efficient one. The platform also reflects a broader understanding of what users genuinely need from a shopping tool. Through secure authentication, personalized profile management, and AI-powered conversational support, PriceWise AI transcends the role of a simple price checker and positions itself as a sustained companion for online shoppers. These capabilities ensure that the system provides lasting value across multiple sessions and builds the kind of user trust that encourages continued engagement over time. From an engineering perspective, the project validates a lean, modern development approach. The pairing of a React and TypeScript frontend with Supabase\'s managed backend and serverless edge functions demonstrates that fully capable, scalable consumer applications can be delivered without the overhead of traditional server infrastructure. The use of token-based product matching, normalized schemas, and a modular retrieval pipeline reflects the kind of architectural foresight that positions the system for reliable real-world use. Looking to the future, PriceWise AI is well positioned for meaningful expansion. Adding more retail platforms will increase comparison depth and relevance for a larger user base. Proactive price alert notifications will shift the platform from reactive to anticipatory, ensuring users are informed of deals even when they are not actively searching. Enhanced semantic matching and AI-assisted classification will raise the quality of cross-platform comparisons, especially for products that are inconsistently named across retailers. As it stands today, PriceWise AI represents a substantive and purposeful contribution to the landscape of e-commerce assistance tools. With the enhancements planned for future development cycles, it has the trajectory to become a comprehensive shopping intelligence platform — one that not only supports purchasing decisions but actively empowers consumers to consistently obtain the greatest value for every rupee they spend.

References

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Copyright

Copyright © 2026 G. L. Lakshmi, A. Pavani, K. Devi Priya, N. Murali Mohan, K. Prasanth. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.