The Analysis of Digital Trade in Cross-Border E-Commerce Supply Chain Management Under Deep Learning

To enhance the operational effectiveness and trade facilitation of cross-border e-commerce supply chain management, this study investigates the impact of digital trade regulation (DTR) practices. The objective is to develop a comprehensive understanding of how digital trade legislation influences cross-border e-commerce supply chains and how supply chain efficiency can be improved through effective management approaches. First, through a systematic literature review, this study examines current global DTR practices, thereby establishing a solid theoretical foundation. Second, through in-depth analysis of real-world cross-border e-commerce supply chain cases, the practical application and challenges of DTR in supply chain management are explored. From a quantitative perspective, a questionnaire survey method is employed, encompassing diverse participants such as cross-border e-commerce enterprises, government regulatory agencies, and logistics service providers. Based on the survey data, a comprehensive evaluation model is constructed to assess the impact of DTR on cross-border e-commerce supply chain management. The study further focuses on key indicators, including time of goods circulation, customs declaration process efficiency, and cost reduction, to comprehensively assess the simulated effects of the model. The results demonstrate that cross-border e-commerce supply chain management is significantly enhanced following the implementation of digital trade legislation. Under the simulation conditions, average time of goods circulation is reduced by 13.60%, customs declaration process efficiency improves by 21.5%, and cost reduction decreases by 5%–10%. Overall, this study provides practical guidance for enterprises operating in compliance within the digital trade environment while offering valuable reference insights for government regulators in policy formulation.