Title: Optimisation management method of enterprise logistics supply chain based on artificial intelligence

Authors: Mo Kuang; Lili Weng; Da Kuang

Addresses: South China Business College, Guangdong University of Foreign Studies, Guangzhou, 510545, Guangdong, China ' South China Business College, Guangdong University of Foreign Studies, Guangzhou, 510545, Guangdong, China ' School of Marxism, Lanzhou University of Finance and Economics, Lanzhou, 730000, Gansu, China

Abstract: This article systematically analyses the specific current situation of the entire supply chain using value stream mapping (VSM) tools, and then optimises it from three aspects: real logistics, information flow, and time flow, in order to explore the management efficiency, supply chain costs, and supply chain risks of the logistics supply chain. In order to verify the effectiveness of AI in optimising enterprise logistics management methods, this paper selected the logistics SCM business segments of 12 listed enterprises as the experimental objects for comparison before and after, and evaluated the logistics SCM efficiency, cost management and supply chain risk respectively. The experimental results show that the optimisation management method of enterprise logistics supply chain based on AI had obvious effect on solving the problems existing in enterprise logistics supply chain, and the overall average improvement range was 23.38%.

Keywords: logistics supply chain; supply chain management; physical distribution management; artificial intelligence; enterprise logistics.

DOI: 10.1504/IJCSYSE.2026.151352

International Journal of Computational Systems Engineering, 2026 Vol.10 No.1/2/3/4, pp.236 - 245

Received: 26 Oct 2023
Accepted: 05 Dec 2023
Published online: 26 Jan 2026 *

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