The Application of Artificial Intelligence in the Collaborative Optimization of Digital Supply Chains within E-Commerce

Abstract

The thriving development of artificial intelligence in recent years has promoted revolutionary transformation in every industry. The great potential of AI attracts every industry to integrate Artificial Intelligence (AI) into their operating systems, and supply chain is one of them. With the help of many advanced technologies, supply chain management has been improved significantly and the integration with AI has further propelled the progress. The author intends to generalize the practical application scenarios of AI in e-commerce supply chain optimization through a case analysis and finds out potential challenges to consider solutions. This paper selects JD.com, one of the Chinese top e-commerce companies that operates its own supply chain as a research example. Then, this paper generalizes four aspects of application scenarios in supply chain optimization with AI, including demand forecasting, procurement, inventory and warehousing, and logistics and delivery. Moreover, there are still some challenges for supply chain optimization with AI such as capital pressure and privacy safety. Through the generalization of application scenarios of AI in supply chain optimization and analysis of potential challenges, the author wishes to explore further possibilities for using AI to optimize supply chain.