Implementation of Big Data Techniques in Supply Chain Finance: Evidence from Jingdong E-commerce Platform

China is currently at a critical stage of promoting high-quality development of the real economy through innovation and fostering new growth drivers. The financing needs of small and medium-sized enterprises (SMEs) have become increasingly urgent, and supply chain finance (SCF) offers a novel solution to address this challenge. This study explores the intersection of big data technology and SCF. Drawing on relevant literature, the study clarifies the concepts of SCF and big data. A detailed case study of JingDong Group, one of China's leading e-commerce platforms, is conducted to reveal the practical application and significance of big data in SCF. According to the analysis, JD has successfully leveraged big data to improve customer acquisition, enhance risk management, and reduce financing costs for enterprises along the supply chain. As one of the pioneers in exploring the "e-commerce platform + supply chain finance " model, JD has built a robust SCF platform that not only supports its own supply chain but also enables technological innovation to be exported to other industries. These results provide practical recommendations for SCF companies looking to integrate big data into their operations and discusses both the potential and current limitations of these technologies. This research offers empirical support for the digital transformation of SCF and provides a theoretical foundation for enterprises aiming to use big data to drive innovation and improve financing efficiency.