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Utilizing Artificial Intelligence Tools to Optimize the Integration Strategy of Modern Supply Chain Upstream and Downstream

In: Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)

Author

Listed:
  • Yuzhe Huang

    (Penn State Smeal College of Business)

Abstract

This article outlines the current challenges faced by the supply chain industry and examines how AI tools can be used to optimize upstream and downstream integration. The article will first introduce the scope of AI applications in the current supply chain industry and the potential for future improvements and expansion in various fields. Next, the article will focus on three important areas in integrating upstream and downstream relationships in the supply chain industry: demand forecasting and inventory management, logistics optimization and transportation management, and supplier evaluation and selection. The article will analyze how AI can assist in each area, along with its corresponding pros and cons. By analyzing research and examples in other literature, readers can also better understand the practical application of AI. The article will end with conclusions and recommendations for the use of AI tools in the current and future supply chain industry (mainly about the preparation for Industry 6.0).

Suggested Citation

  • Yuzhe Huang, 2025. "Utilizing Artificial Intelligence Tools to Optimize the Integration Strategy of Modern Supply Chain Upstream and Downstream," Advances in Economics, Business and Management Research, in: Prasad Siba Borah & Norhayati Zakuan & Nazimah Hussin & Azlina Binti Md Yassin (ed.), Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025), pages 773-778, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-811-0_82
    DOI: 10.2991/978-94-6463-811-0_82
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