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

Authors: Zhenhua He; Liang Chen; Bin Liu

Addresses: School of Logistics and Transportation and Tourism, Jiangsu Vocational College of Finance and Economics, Huaian 223003, Jiangsu, China ' School of Economics and Management, Sichuan Vocational College of Chemical Technology, Luzhou 646000, Sichuan, China ' School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu 61000, Sichuan, China

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.

Keywords: AI and big data; cross-border e-commerce; artificial intelligence; big data analysis; cross border e-commerce delivery distribution.

DOI: 10.1504/IJSD.2026.152792

International Journal of Sustainable Development, 2026 Vol.29 No.2, pp.157 - 173

Received: 17 Aug 2023
Accepted: 17 Jan 2024
Published online: 13 Apr 2026 *

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