Optimization of Price Strategy by Machine Learning in E-commerce

Machine learning algorithms can monitor market dynamics, user behavior and competitor prices in real time, and dynamically adjust commodity prices based on this information to maximize profits. By analyzing historical sales data, market price data, user behavior data, etc., machine learning models can predict the demand and price sensitivity of goods to develop optimal pricing strategies. This study takes Pinduoduo and Taobao as examples to analyze the application of machine learning in E-commerce price strategy optimization, in order to provide useful reference for the E-commerce platforms.