PRODUCT RECOMMENDATION (KEY IJP************738)

• Amlesh K,Arun Karthic S V,Hemachandiran M P,Dineshkumar R,Akash S

Abstract

In todays competitive retail environment, consumers seek convenience and efficiency when searching for products. This project, Product Recommendation Based on Customer Location, aims to provide users with personalized product recommendations that prioritize accessibility and proximity to physical store locations. The system is designed to recommend products based on the customers search queries, offering information on nearby shops with available stock, pricing, and product details. Utilizing location-based services, the recommendation system prioritizes results from shops closest to the customer, enhancing the shopping experience by reducing travel time and providing instant access to product information. The project combines geolocation data with customer search patterns, creating a seamless blend of product availability and proximity. By combining these elements with price comparisons and detailed product information, the system delivers value not only by suggesting relevant products but by ensuring users can easily access them.