International Journal of Computer Techniques Volume 12 Issue 3 | BuyBot: A LangChain-Powered AI Framework for Intelligent E-Commerce Assistance

BuyBot: A LangChain-Powered AI Framework for Intelligent E-Commerce Assistance

BuyBot: A LangChain-Powered AI Framework for Intelligent E-Commerce Assistance

International Journal of Computer Techniques – Volume 12 Issue 3, May – June 2025

Authors

Ashish Ranjan – Information Technology, NIET, Greater Noida, India. ashishranjan1272003@gmail.com

Ms. Nidhi Chauhan – Information Technology, NIET, Greater Noida, India. nidhi.chauhan@niet.co.in

Abstract

BuyBot is an **AI-powered e-commerce assistant** designed to **optimize user engagement** through **natural language processing (NLP), LangChain, and vector databases**. The system supports **seamless product discovery, filtering, and order-related assistance**, providing **real-time customer support and interactive search functionalities**.

Keywords

AI Chatbot, E-Commerce, Visual Search, BuyBot, LangChain, Large Language Models, Conversational AI.

Conclusion

The **BuyBot platform** introduces an innovative **conversational AI framework**, leveraging **semantic retrieval, visual embeddings, and LangChain** to redefine **intelligent e-commerce solutions**. Future development may focus on **multi-modal interactions, enhanced recommendation engines, and cross-platform integration**.

References

  1. A. Radziwill & M. Benton (2017). “Evaluating Quality of Chatbots and Intelligent Conversational Agents.” Journal of Intelligent & Robotic Systems.
  2. R. Dale (2016). “The Return of the Chatbots.” Natural Language Engineering.
  3. H. Chase (2022). “LangChain: Building Applications with LLMs through Composability.”

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