Design and Implementation of an E-Commerce System for Babcock University Supermarket
Keywords:
E-commerce, Chatbot Integration, Content Filtering, Personalized Recommendations, Recommender SystemAbstract
Today’s buying and selling can be seamless only with the involvement of e-commerce systems. At Babcock University, Ilisan-Remo, Ogun State, Nigeria, students and member of staff often face challenges such as standing in long queues to make payments, price discrepancies, and limited product availability while shopping at the university supermarket. This study seeks to tackle these issues by building an e-commerce system for Babcock University Supermarket. The incremental process model was adopted during the system development. The implementation tools include HTML, CSS, JavaScript (for the interactive/friendly interface), PHP and MySQL (for the backend and data management). The system also includes a chatbot integrated via FastBots API, which helps users with common queries and navigation. Another key feature is the content-based filtering recommendation system, which suggests products to users based on their browsing history. In conclusion, this AI-powered e-commerce system provides an efficient solution for improving supermarket operations in a university setting. This helps make shopping easier, faster, and more efficient by providing an online platform where one can browse and purchase products without hassle. The result shows how AI and e-commerce can be used to enhance retail efficiency and customer satisfaction. Future direction could incorporate integrating mobile payment options, enhancing the AI features for better product recommendations, and introducing delivery tracking to further improve shopping experience.
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Copyright (c) 2026 Akinbogun Morontowumi, Oganyi Kevin Gift, Afelogun Moshope, Adekola Olubukola D, Daramola Christiana Jumoke, Sanusi Funmilayo
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