How to Improve Supply Chain Information Management with Artificial Intelligence

Authors

  • Yutong Hou

DOI:

https://doi.org/10.54097/5zxz8681

Keywords:

Artificial intelligence, supply chain information management, data analysis.

Abstract

This paper discusses how to make full use of artificial intelligence technology to improve supply chain information management, through the application of data analysis and forecasting, intelligent warehousing and inventory management, and intelligent transport and logistics, to achieve accurate monitoring and efficient management of supply chain segments, and at the same time, in-depth study of the support of artificial intelligence in supply chain decision-making, including intelligent decision-making system, risk management, and real-time feedback and adjustment capabilities to improve the accuracy and flexibility of supply chain decision-making.

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References

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Generative Artificial Intelligence for Supply Chain Procurement Thinking Out Loud [J]. Digital Economy, 2023, (12): 62-64.

Shen Yaqiongzi. Management and innovation of modern supply chain [J]. China National Condition and National Power, 2019, (07): 66-68.

Dash R, McMurtrey M, Rebman C, et al. Application of artificial intelligence in automation of supply chain management [J]. Journal of Strategic Innovation and Sustainability, 2019, 14 (3): 43-53.

Shoushtari F, Ghafourian E, Talebi M. Improving Performance of Supply Chain by Applying Artificial Intelligence [J]. International journal of industrial engineering and operational research, 2021, 3 (1): 14-23.

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Published

30-06-2024

How to Cite

Hou, Y. (2024). How to Improve Supply Chain Information Management with Artificial Intelligence. Highlights in Science, Engineering and Technology, 105, 283-286. https://doi.org/10.54097/5zxz8681