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E-commerce platforms have become a vital component of the modern digital economy. However, most traditional e-commerce systems rely on static pricing strategies that do not adapt to real-time market dynamics such as customer demand, inventory levels, competitor pricing, and user behaviour. This limitation often leads to reduced revenue, inefficient inventory management, and poor customer satisfaction.This project presents a Smart E-Commerce System with Dynamic Pricing that automatically adjusts product prices using intelligent analytics and machine learning techniques. The system integrates demand forecasting, stock monitoring, competitor price comparison, and user behaviour analysis to generate optimized pricing strategies.