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Enhancing Supply Chain Management Through Artificial Intelligence: A Case Study of JD Logistics
- 1 Northwest University, Xi’an, China,710127
- 2 Xi’an Jiaotong-Liverpool University, Suzhou, China, 215000
- 3 Shanghai Maritime University, Shanghai, China, 201306
* Author to whom correspondence should be addressed.
Abstract
With the intensification of global economic competition, enterprises face the challenge of improving the supply chain management efficiency, and AI technology, as an emerging field in computer science, can provide effective solutions. As a leading e-commerce logistics service provider in China, JD Logistics has accumulated a wealth of logistics technology capabilities and digital transformation experience within and outside the JD Group. Using JD Logistics as a case study, this paper discusses the application of AI technology in supply chain management and its impact on enterprise responsiveness and operational efficiency. AI technology has significantly improved the supply chain operational efficiency and responsiveness of JD Logistics by applying intelligent supply chain planning, predictive analysis and intelligent decision-making. The study systematically summarizes the key role of AI technology in optimizing supply chain management through a literature review and specific case studies, providing an important reference and practical experience for enterprises to achieve digital transformation.
Keywords
Artificial Intelligence, Supply Chain Management, Intelligent Decision-making, JD Logistics
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Cite this article
Pan,Y.;Wang,X.;Ye,Q. (2024). Enhancing Supply Chain Management Through Artificial Intelligence: A Case Study of JD Logistics. Advances in Economics, Management and Political Sciences,109,116-121.
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Volume title: Proceedings of ICEMGD 2024 Workshop: Innovative Strategies in Microeconomic Business Management
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