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@article{169668,
        author = {Vidhya P and Jayaraj V and Karpaga sivaraman D S and Muthuvel A S},
        title = {ZenCart Response AI : SMART SHOPPING MEETS SEAMLESS SUPPORT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2049-2053},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169668},
        abstract = {In today’s online shopping cycle, customers often find it tough to locate the right products. They also struggle with tracking orders and getting up-to-date support. ZenCart Response AI comes in to solve these issues by combining an AI-powered chatbot with a shopping platform, giving users personalized product suggestions. It offers real-time order updates and quick responses to common customer questions. This chatbot adapts to customer needs using computer study and machine intelligence, and automates regular support. Overall, this boosts customer satisfaction and makes operations more efficient. This document explains the design, development, and deployment of ZenCart Response AI, showing how it creates a smooth and convenient shopping experience and makes a big impact on customer satisfaction in e-commerce.},
        keywords = {e-commerce [AI chat-bot, personalized recommendations, order tracking, customer support, automation.]},
        month = {November},
        }