International Journal of Scientific Research and Engineering Development

The rapid growth of digital commerce and artificial intelligence has significantly transformed consumer purchasing behavior, particularly in the retail grocery sector. Despite the availability of numerous online grocery platforms, customers still face challenges such as inefficient budget management, lack of personalized recommendations, and difficulty in comparing prices across vendors, unplanned purchases, food wastage, and absence of intelligent decision support. The Smart Grocery Shopping Assistant is an AI-powered web-based application designed to enhance and automate the grocery shopping experience through intelligent data analysis and personalized recommendation mechanisms. The system integrates machine learning algorithms, real-time price comparison modules, budget tracking features, and consumption pattern analysis to assist users in making cost-effective and health-conscious purchasing decisions. The proposed system enables users to create dynamic shopping lists based on household requirements, previous purchase history, dietary preferences, and budget constraints. Using predictive analytics, the assistant suggests optimal product combinations, identifies ongoing discounts, and recommends substitute items when preferred products exceed budget limits.

Praveen P, Hariharan S, Micheal David Vijayan S, Isac Samuvel M, Sanjay S,"Smart Grocery Shopping Assistant" International Journal of Scientific Research and Engineering Development, V9(2): Page(2135-2138) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.