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@article{203979,
        author = {ADARSH KUMAR SINHA and Bijay Singh},
        title = {E-COMMERCE Website With Chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {2506-2510},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203979},
        abstract = {The study offers a new scheme of implementing intelligent conversational agents into the e-commerce systems through hybrid natural language processing methods. The proposed system is an integration of transformer-based language models and knowledge graph reasoning to deliver contextual and customized customer service. In contrast to traditional chatbots, which follow specific response patterns, our system is based on a dynamic learning system that changes according to the user behaviour and changes in the product catalogue in real-time. Its appearance is one that has multi- modal interaction interface to respond to text, voice, and visual queries, and it has been shown that the response time to customer service requests has been lowered by 87% as compared to the traditional method of responding to the said customer requests. The experimental outcomes prove the introduction of 45% of better query resolution accuracy and 63% of higher customer conversion rates, which can confirm the efficiency of the given paradigm of integration to the contemporary e-commerce ecosystems.},
        keywords = {E-commerce, Chatbot, Natural Language Processing, Customer Support, Machine Learning, Conversational},
        month = {June},
        }