Research Article
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Published on 7 January 2025
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Zhang,S. (2025). Research on Artificial Intelligence Applications in Global Supply Chains. Advances in Economics, Management and Political Sciences,160,214-219.
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Research on Artificial Intelligence Applications in Global Supply Chains

Shengkun Zhang *,1,
  • 1 Central South University, No.932 South Lushan Road, Changsha, Hunan, 410083 P.R., China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/2025.19875

Abstract

This research examines the transformative role of artificial intelligence (AI) in global supply chain management, analysing its applications, benefits, and challenges across various supply chain functions. Through a comprehensive analysis of current implementations and industry practices, the study reveals how AI technologies are revolutionizing supply chain operations through enhanced demand forecasting, inventory optimization, logistics management, and supplier risk assessment. The research identifies key success factors in AI implementation while addressing critical challenges including data privacy concerns, technical integration difficulties, cost barriers, and ethical considerations. The findings demonstrate that successful AI integration in supply chains requires a balanced approach combining technological innovation with careful consideration of organizational readiness, data security, and ethical implications. The study concludes by proposing strategic recommendations for organizations seeking to leverage AI in their supply chain operations and highlighting future development directions as AI technology continues to evolve. But the insights from industry leaders like Amazon and Alibaba may not fully apply to SMEs, which face unique challenges such as limited resources and technological readiness, highlighting the need for future research on scalable, cost-effective AI solutions and collaborative strategies to support their adoption.

Keywords

Artificial Intelligence, Global Supply Chains, Supply Chain Management, Digital Transformation, Machine Learning

[1]. Lehmacher, W. (2017). The global supply chain. Springer.

[2]. Song, Y., Wang, Z., Song, C., Wang, J., & Liu, R. (2024). Impact of artificial intelligence on renewable energy supply chain vulnerability: Evidence from 61 countries. Energy Economics, 131, 107357.

[3]. Küpper, D., Lorenz, M., Kuhlmann, K., Bouffault, O., Wyck, J. V., Köcher, S., & Schlageter, J. (2018). Ai in the factory of the future. BCG Global. https://www.bcg.com/publications/2018/artificial-intelligence-factory-future

[4]. McKinsey & Company. (2021). Succeeding in the AI supply-chain revolution. McKinsey & Company. https://www.mckinsey.com/industries/metals-and-mining/our-insights/succeeding-in-the-ai-supply-chain-revolution

[5]. Riahi, Y., Saikouk, T., Gunasekaran, A., & Badraoui, I. (2021). Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions. Expert Systems with Applications, 173, 114702.

[6]. Attaran, M. (2020). Digital technology enablers and their implications for supply chain management. In Supply Chain Forum: An International Journal (Vol. 21, No. 3, pp. 158-172). Taylor & Francis.

[7]. UPS to enhance Orion with continuous delivery route optimization: About ups. About UPS-US. (n.d.). https://about.ups.com/us/en/newsroom/press-releases/innovation-driven/ups-to-enhance-orion-with-continuous-delivery-route-optimization.html

[8]. Finn, T., & Downie, A. (2024). Ai in Procurement. IBM. https://www.ibm.com/think/topics/ai-in-procurement

Cite this article

Zhang,S. (2025). Research on Artificial Intelligence Applications in Global Supply Chains. Advances in Economics, Management and Political Sciences,160,214-219.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Business and Policy Studies

Conference website: https://2025.confbps.org/
ISBN:978-1-83558-889-5(Print) / 978-1-83558-890-1(Online)
Conference date: 20 February 2025
Editor:Canh Thien Dang
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.160
ISSN:2754-1169(Print) / 2754-1177(Online)

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