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

Yuzhe Huang ()
Additional contact information
Yuzhe Huang: Penn State Smeal College of Business

A chapter in Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025), 2025, pp 773-778 from Springer

Abstract: 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).

Keywords: Supply Chain Management; Supply Chain Resilience; Machine Learning (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-811-0_82

Ordering information: This item can be ordered from
http://www.springer.com/9789464638110

DOI: 10.2991/978-94-6463-811-0_82

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().