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Development strategy of transnational e-commerce logistics and distribution based on artificial intelligence and big data

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  • Zhenhua He
  • Liang Chen
  • Bin Liu

Abstract

This article combines artificial intelligence with e-commerce delivery to conduct in-depth research on the development strategy of cross-border e-commerce logistics delivery. On the basis of analysing the current situation and existing problems of logistics development, big data technology is used to provide database information queries, demonstrate how to achieve actual positioning, and propose business logistics distribution development strategies through asymmetric hybrid algorithms. Finally, experimental analysis is conducted. The experimental results show that compared with traditional delivery methods, the digital delivery of cross-border distribution construction has improved delivery efficiency by more than 25%, improving the overall performance of the distribution system. The conclusion indicates that the development strategy of cross-border e-commerce logistics distribution based on artificial intelligence and big data can effectively improve the efficiency of logistics distribution systems, and help provide a new perspective for the development of e-commerce logistics.

Suggested Citation

  • Zhenhua He & Liang Chen & Bin Liu, 2026. "Development strategy of transnational e-commerce logistics and distribution based on artificial intelligence and big data," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 29(2), pages 157-173.
    • Handle: RePEc:ids:ijsusd:v:29:y:2026:i:2:p:157-173
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