Artificial Intelligence Empowers Sustainable Supply Chains

Xuanshuang, Wang (2025) Artificial Intelligence Empowers Sustainable Supply Chains. INTI JOURNAL, 2025 (55). pp. 1-8. ISSN e2600-7320

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Abstract

With the continuous turbulence in the global market and the rapid development of artificial intelligence (AI), the sustainable development of supply chains has attracted significant attention. Addressing the "efficiency-environmental protection-equity" challenges faced by current sustainable supply chains, this paper attempts to analyze how AI can empower sustainable supply chains and explores AI's ability to handle the dynamic complexity of supply chains, including real-time data monitoring, accurate prediction, intelligent decision-making, risk management, data sharing, and continuous learning. The study finds that AI can empower sustainable supply chains through the following aspects: demand forecasting and inventory optimization, logistics network optimization, supply chain risk management, supplier management, production and manufacturing optimization, real-time monitoring and transparency, as well as carbon footprint management and emission reduction optimization. Through these means, AI helps improve supply chain efficiency, reduce costs, enhance forecasting and demand management capabilities, strengthen risk management and emergency response capabilities, and boost supply chain resilience.

Item Type:	Article
Uncontrolled Keywords:	Artificial intelligence empowerment; Sustainable supply chains; Low-carbon emission reduction
Subjects:	H Social Sciences > HF Commerce > HF5601 Accounting Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	25 Nov 2025 06:37
Last Modified:	25 Nov 2025 06:37
URI:	http://eprints.intimal.edu.my/id/eprint/2224

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