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

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

Authors
Yuzhe Huang1, *
1Penn State Smeal College of Business, University Park, PA, 16802, USA
*Corresponding author. Email: ybh5263@psu.edu
Corresponding Author
Yuzhe Huang
Available Online 14 August 2025.
DOI
10.2991/978-94-6463-811-0_82How to use a DOI?
Keywords
Supply Chain Management; Supply Chain Resilience; Machine Learning
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).

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
14 August 2025
ISBN
978-94-6463-811-0
ISSN
2352-5428
DOI
10.2991/978-94-6463-811-0_82How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuzhe Huang
PY  - 2025
DA  - 2025/08/14
TI  - Utilizing Artificial Intelligence Tools to Optimize the Integration Strategy of Modern Supply Chain Upstream and Downstream
BT  - Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)
PB  - Atlantis Press
SP  - 773
EP  - 778
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-811-0_82
DO  - 10.2991/978-94-6463-811-0_82
ID  - Huang2025
ER  -