Research on the Application of Big Data in Cross-Border E-Commerce Supply Chain

随着全球经济一体化与数字技术的深度融合，跨境电商已成为国际贸易的重要增长点。本研究聚焦大数据技术在跨境电商供应链中的应用，基于2024年海关统计数据与互联网公开数据显示，当前我国跨境电商供应链面临的库存积压、需求预测偏差及信息协同不足等问题。这是由于传统供应链模式因依赖经验决策与人工操作，信息传递速度较慢且不畅，难以应对海外市场动态变化，导致库存周转率低与物流成本高企。为解决这一问题，本文提出了进一步提出强化跨境电商数据化思维、深化跨境电商数据分析能力和构建跨境电商柔性供应链等优化策略，希望本文研究能够为跨境电商企业降低运营成本、提升市场竞争力提供理论与实践支持。With the deep integration of economic globalization and digital technology, cross-border e-commerce has become an important growth point of trade. This study focuses on the application of big data technology in the cross-border e-commerce supply chain, based on the 2024 customs statistics public data in the Internet. It shows that the current cross-border e-commerce supply chain in China is facing the problems of inventory backlog, demand forecasting bias insufficient information synergy. This is due to the traditional supply chain mode, which relies on empirical decision-making and manual operation, with slow and blocked information transmission, it is difficult to respond to dynamic changes in overseas markets, resulting in low inventory turnover rate and high logistics costs. In order to solve this problem, this paper proposes strengthen the digital thinking of cross-border e-commerce, deepen the data analysis ability of cross-border e-commerce and build a flexible supply chain of cross-border e-commerce. It is hoped that this paper can provide theoretical and practical support for cross-border e-commerce enterprises to reduce operating costs and enhance market.