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@article{204462,
        author = {Sonalia S and Adithya Sunil and Avanthika and Archa Krishnan and Renita S and Himaja B M},
        title = {Design And Implementation of An Intelligent E-Commerce Platform with Conversational Chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {138-140},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204462},
        abstract = {The rapid growth of e-commerce has significantly transformed the retail industry by enabling customers to shop conveniently from anywhere. However, traditional e-commerce platforms often face limitations such as lack of personalized interaction, delayed customer support, and inefficient product discovery. This paper presents the design and implementation of an intelligent e-commerce platform integrated with a conversational AI chatbot. The system is developed using the MERN stack (MongoDB, Express.js, React.js, Node.js) and styled with Tailwind CSS for a responsive user interface. The chatbot leverages Natural Language Processing (NLP) techniques to assist users in real-time, recommend products, and improve customer engagement. The platform includes modules for user management, product handling, payment processing, and chatbot interaction. The proposed system aims to enhance user experience by providing personalized recommendations and instant support while reducing human effort. Experimental results demonstrate improved response time, customer satisfaction, and operational efficiency compared to traditional systems.},
        keywords = {E-commerce, MERN Stack, Chatbot, NLP, Recommendation System, Tailwind CSS, Web Development},
        month = {June},
        }