Smart Bargain Bot: A Text and Voice-Based Price Negotiation System for E-Commerce Platforms.

In recent years, online shopping has witnessed tremendous growth, transforming the retail landscape. While numerous features have been incorporated into e-commerce platforms, traditional negotiation a key aspect of offline shopping remains largely absent. To address this gap, we propose an intelligent Price Negotiating Chatbot with Text and Voice capabilities for e-commerce websites. This chatbot enables users to negotiate product prices dynamically, simulating the real-life bargaining experience found in physical stores. The system interacts with users using natural language (via text and speech) and leverages historical pricing data to suggest acceptable discounts while maintaining business profitability. One of the core challenges in price prediction systems is the trade-off between accuracy and reliability, especially when irrelevant features are used or when certain algorithms are mismatched with the dataset characteristics. Incorrect price predictions can lead to significant business losses. Our proposed system integrates a rule-based and data-driven algorithm that adapts to variations in data and mitigates issues such as feature unavailability or model degradation over time. By carefully managing these challenges, our chatbot aims to provide a more accurate, efficient, and customer-friendly negotiation process in online retail environments.