AI-Enhanced Supply Chain Visibility in Boosting American Manufacturing Competitiveness

Authors

  • Dr. Hassan Ali Professor of Information Technology, National University of Sciences and Technology (NUST), Pakistan Author

Keywords:

Supply Chain Visibility, American Manufacturing

Abstract

The introduction section of this essay serves as a foundational framework for exploring the impact of AI-enhanced supply chain visibility on American manufacturing competitiveness. It provides an initial understanding of the study's key components, objectives, background, significance, problem statement, and purpose. The significance of AI in supply chain management is underscored by its ability to capitalize on large datasets from various sources, enabling machines to derive unique insights and perform tasks more efficiently than humans [1]. The scalability of AI within modern supply chains is highlighted, emphasizing the untapped potential value due to legacy SCM tools being overstrained by the volume, velocity, and variety of data characterizing modern supply chains.

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References

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Published

01-11-2023

How to Cite

[1]
D. H. Ali, “AI-Enhanced Supply Chain Visibility in Boosting American Manufacturing Competitiveness”, Distrib Learn Broad Appl Sci Res, vol. 9, pp. 385–404, Nov. 2023, Accessed: Nov. 13, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/176

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