Xudoyorov, Shaxriyor and Ernazarov, Mirzohid (2026) ARTIFICIAL INTELLIGENCE IN OPTIMIZING SUPPLY CHAINS AND LOGISTICS. INTERNATIONAL CONFERENCE ON ADVANCE SCIENCE AND TECHNOLOGY; Vol. 3 No. 4 (2026): INTERNATIONAL CONFERENCE ON ADVANCE SCIENCE AND TECHNOLOGY; 88-89.
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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.
| Item Type: | Article |
|---|---|
| Additional Information: | Imported from International Conference on Advance Science and Technology |
| SWORD Depositor: | Admin User |
| Depositing User: | Admin User |
| Date Deposited: | 24 Sep 2026 22:41 |
| Last Modified: | 24 Sep 2026 22:41 |
| URI: | https://universalpublishings.uz/id/eprint/8734 |
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