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GRENZE International Journal of Engineering and Technology Vol. 11 (2025), Issue 1

A Conversational AI Chabot for Shopping Assistance and Product Recommendations

Authors

Kavitha M, Y S Nijagunarya, Srinivasa K

Abstract

Due to the ease of being able to shop anything, anytime and from anywhere, Online shopping has grown in popularity in the current digital era. Nevertheless, customers may find it difficult to identify the ideal products for their needs given the abundance of possibilities. Our research work aims to create a Conversational Artificial Intelligence (AI) Chatbot to assist the customers in shopping and also to provide product recommendations that helps customers in making decisions about their purchase. In addition to monitoring savings and expenses, our model also keeps track of wishlist. Our chatbot will be deployed on the e-commerce platform as a web application. Using Natural Language Processing (NLP) and Machine Learning (ML) techniques, the chatbot will be able to interpret customer input in natural language, gather pertinent data, and provide tailored product recommendations based on the customer’s preferences and previous purchases. By informing customers about product availability and assisting them with the checkout process, the chatbot will be able to help them complete their purchases in a better and more effective manner.

Pages: 62 - 67