Revolutionizing Supply Chain Optimization with AI-Driven Predictive Analytics

Jean-Luc, Martin and Priyanka, Nair (2024) Revolutionizing Supply Chain Optimization with AI-Driven Predictive Analytics. Synergy: Cross-Disciplinary Journal of Digital Investigation, 2 (12). pp. 31-45. ISSN 2995-4827

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Abstract

In an increasingly complex and dynamic global economy, supply chain optimization has become a critical factor for business success. Traditional supply chain management approaches often struggle to adapt to rapidly changing market conditions, demand fluctuations, and unforeseen disruptions. Artificial Intelligence (AI)-driven predictive analytics is transforming this landscape by providing real-time insights, demand forecasting, risk mitigation, and end-to-end operational efficiency.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	19 Mar 2025 09:26
Last Modified:	19 Mar 2025 09:26
URI:	http://eprints.umsida.ac.id/id/eprint/15852

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