Intelligent Negotiation Bot and Demand-Aware Commerce System: Using Machine Learning

Author(s)	Tanishka S. Dabhane, Prof. Sneha V. Kalbande, Anushka R. Ladole, Gayatri B. Sontakke, Sneha R. Aswar, Yashwant N. Suryawanshi
Country	India
Abstract	Dynamic Pricing in modern E-Commerce relies on intelligent systems to adjust prices based on market trends and customer behavior. Recent studies show how Machine Learning methods, especially Random Forest models, help predict sales and optimize discounts, while Reinforcement Learning supports real-time price adjustments. Research also highlights the growing role of Price Negotiation Chatbots and Sentiment Analysis, which personalize interactions by interpreting customer intent. Overall, existing approaches show good accuracy and adaptability, but gaps remain in integrating dynamic pricing, negotiation, and sentiment-aware systems into one unified platform.
Keywords	Dynamic Pricing, E-Commerce, Machine Learning, Random Forest, Reinforcement Learning, Price Negotiation Chatbot, Sentiment Analysis
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-03
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.61286
Short DOI	https://doi.org/hbdrh9

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