ARTIFICIAL INTELLIGENCE IN OPTIMIZING SUPPLY CHAINS AND LOGISTICS

Authors

  • Xudoyorov Shaxriyor Termez University of Economics and Service, Faculty of Economics and Information Technologies, Information Systems and Technologies Department, 3rd year student
  • Ernazarov Mirzohid

Keywords:

Artificial Intelligence, supply chain, logistics, demand forecasting, inventory management, route optimization, warehouse automation, machine learning, predictive analytics, resilience.

Abstract

This article analyzes the role of artificial intelligence (AI) in managing and optimizing global supply chains and logistics. It substantiates the effectiveness of AI in demand forecasting, inventory management, route optimization, and warehouse automation, and examines how AI increases supply chain resilience and risk detection. The novelty of the article lies in demonstrating that AI is becoming a strategic tool for supply chain efficiency and resilience, with recommendations developed for implementing these technologies in Uzbekistan's developing economy.

 

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Published

2026-06-24

Issue

Vol. 3 No. 4 (2026): INTERNATIONAL CONFERENCE ON ADVANCE SCIENCE AND TECHNOLOGY

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

ARTIFICIAL INTELLIGENCE IN OPTIMIZING SUPPLY CHAINS AND LOGISTICS. (2026). INTERNATIONAL CONFERENCE ON ADVANCE SCIENCE AND TECHNOLOGY, 3(4), 88-89. https://universalconference.us/index.php/icast/article/view/7459