AI-Powered Customer Engagement: An Interactive Chatbot Solution for E-Commerce using Generative AI and AWS(A case study on footwear related data)

The project focuses on developing an AI chatbot specifically designed for e-commerce to enhance customer service. As e-commerce transactions grow, traditional customer service methods struggle to meet demand, often leading to delays. To address this, the project leverages generative AI and large language models (LLMs), such as ChatGPT, to create a chatbot capable of understanding and processing natural language. This chatbot is designed to perform essential tasks, including answering customer queries, providing product recommendations, and tracking order status in real time. It incorporates Retrieval-Augmented Generation (RAG) for accurate responses and uses AWS to ensure scalability and reliability. Ultimately, the project aims to improve customer satisfaction and operational efficiency by delivering instant, personalized support and enhancing user engagement through sophisticated AI capabilities.