Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{193584,
author = {Sagar Patil and Rashmi Dharmadhikari and Manisha Bharti},
title = {BargainBot: AI-Driven Price Negotiation for E-Commerce: A Review},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {10},
pages = {2082-2083},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=193584},
abstract = {This paper introduces BargainBot, an AI chatbot that enables real-time price negotiation in e-commerce. It integrates Natural Language Processing (NLP), Machine Learning (ML), and Reinforcement Learning (RL) to conduct multi-turn bargaining dialogues. The system aims to increase customer satisfaction, reduce cart abandonment, and protect seller profitability within predefined margins.},
keywords = {E-Commerce, Negotiation Chatbot, Dynamic Pricing, NLP, Machine Learning, Reinforcement Learning.},
month = {March},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry