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@article{167668,
        author = {K VISHNU PRIYA and B MURALI},
        title = {ENHANCEMENT OF USER EXPERIENCE ON E-COMMERCE ASSISTANCE BY USING CHATBOT BASED ON RASA},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {4},
        pages = {44-48},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167668},
        abstract = {Whenever a customer using an E-Commerce sites like Amazon,Flipkart etc, the customer may face some challenges in navigating product options, making purchases, or seeking assistance. It takes time for the customer support to resolve the customer issues since billions of people are using those platforms and reporting the issues regularly. So this makes some congestion on the customer support side, so that they could not react so quickly. One more issue is buying the products by searching from different platforms. This may also takes too much time. In this project adding a chatbot to the platform which can understand the human language and give the response based questions and helps in product filtration. This chatbots will be useful for filtering the products from whatever the e commerce sites it has been incorporated it with (here the own site developed, which runs in local server as other e-commerce api procurement is taking much time than expected) and also replying to some of the issues before they got to the customer call center. So these chatbots have emerged as a promising solution to address these issues. },
        keywords = {E-Commerce, Customer Support, Chatbot Integration, Human Language Understanding,  Product Filtration, Natural Language Processing (NLP),  Customer Experience Enhancement },
        month = {September},
        }