Research and implementation of e-commerce inventory Optimization strategy based on advanced data analysis technology

In the e-commerce environment, inventory management is the key factor to ensure enterprise operational efficiency and customer satisfaction. Traditional inventory management methods can no longer meet the increasingly complex market needs, and it is urgent to adopt advanced data analysis technology to optimize the inventory strategy. This paper will explore how to use advanced data analysis technologies, such as machine learning and big data analysis, to optimize the electronic commerce inventory. Through case analysis and experimental research, the effectiveness of these technologies in improving inventory turnover rate, reducing inventory cost, and improving customer service is verified.