The Role of Artificial Intelligence in Transforming Inventory Management in E-Commerce

This research investigates how artificial intelligence (AI) modifies inventory management systems because China's e-commerce industry keeps expanding. It evaluates AI-based forecasting systems and automated warehouse operations through academic publications, business examples, and market statistics. The AI systems supported by reinforcement learning, recurrent neural networks, and long short-term memory networks produce more accurate forecasting results because they identify complex market patterns and enable real-time system modifications. In addition, AI dashboards that combine predictive analytics with Internet of Things technology enable better inventory optimization. Furthermore, autonomous robotics systems promote warehouse management and labor allocation. E-commerce businesses achieve better inventory management through these applications, which also reduce operational costs, improve product delivery, and strengthen customer satisfaction. Despite the benefits, AI adoption in inventory management also brings three major obstacles, which require businesses to protect data privacy, fight cybersecurity threats, and overcome limited financial resources for implementation. The research demonstrates AI adoption creates challenges, but its advantages make it vital for e-commerce businesses to achieve market success and operational excellence.