Adaptive E-Commerce Platform with Real-Time Price Negotiation Based on User Sentiment

E-commerce has revolutionized global trade by offering unprecedented convenience and product access. However, conventional platforms often rely on rigid pricing models, limiting user interaction and pricing flexibility. This research introduces a novel e-commerce system integrating a real-time bid and counter-bid mechanism designed to enhance user-admin negotiation dynamics. Developed using the Flutter framework, the system allows users to submit personalized price proposals, while administrators can accept, reject, or counter these offers, enabling a multi-round negotiation process. This interactive pricing model aims to boost user satisfaction and platform profitability by offering a customizable shopping experience. The paper details the application's architecture, including the negotiation algorithm and system design. Comparative analysis with traditional models shows improved user engagement, conversion rates, and pricing flexibility. Performance metrics such as system responsiveness, user feedback, and revenue impact further validate the model's effectiveness in creating a more personalized and efficient online shopping experience.