Research on the Supply Chain Optimization Approach of JD's Transformation into a Digital Ecosystem Retailer

With the rapid development of global e-commerce, digital retailing has become an emerging trend, forcing companies to continuously adjust and optimise their supply chain strategies to enhance market competitiveness. This essay will focus on analysing the supply chain optimisation strategies of Jingdong, a leading technology-driven e-commerce platform in China, during its transformation from a traditional e-commerce to a digital eco-retailer. The study focuses on JD's data quality and management issues supply chain innovation, and model adaptation issues. Through case studies on technological innovation, logistics expansion, and ecosystems, it is found that JD has achieved significant results in matching supply and demand and logistics efficiency. The results of the study show that JD has successfully constructed a highly flexible and responsive supply chain system through comprehensive data analysis and systematic integration of intelligent technologies, and this transformation has not only enabled JD to stand out in the highly competitive market but also provided a successful case for promoting the digital transformation of the whole industry. The significance of this paper is to analyse JD's supply chain optimisation strategy to provide a reference case for academia and corporate practice.