A Personalized Supermarket Product Recommendation System Using Augmented Reality

Abstract

The online shopping industry has exploded in recent years leading to many benefits. With extensive advertising on social media, electronic platforms bombard people with things to buy, by making suggestions based on the users’ purchases and market trends. Online shopping offers significant advantages, such as the convenience of browsing and ordering from various sites at any given time, but a notable drawback is customers cannot directly see the products while ordering them. While supermarkets allow customers to explore various products before buying them, they are large places and have an extensive product range, which makes it difficult for customers to find desired items and their discounts easily. Product recommendations based on other users’ shopping patterns help users buy items easily and decrease the time taken to look for related items. This feature is currently not available in offline stores. Therefore, a product recommendation system that uses Augmented Reality is proposed. The system also provides in-store navigation using Augmented Reality to help users go to different sections of the supermarket. This system would help customers locate products easily and makes the application more interactive and engaging.