Artificial Intelligence in Supply Chain Management: Trends and Implications
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Abstract |
Artificial Intelligence (AI) is revolutionizing supply chain management (SCM) by introducing advanced analytics, automation, and data-driven decision-making. This research paper explores the current trends in AI adoption within SCM, including the use of predictive analytics, machine learning, and autonomous systems to optimize logistics, inventory management, and demand forecasting. The study also examines the implications of these technologies on efficiency, cost reduction, and competitive advantage. While AI offers significant benefits, it also presents challenges such as data privacy concerns, the need for specialized skills, and potential disruptions to traditional supply chain roles. This paper aims to provide a comprehensive overview of AI's impact on SCM, offering insights into how businesses can strategically implement AI to enhance their supply chain operations while navigating the associated challenges. © 2024, Collegium Basilea. All rights reserved. |
Year of Publication |
2024
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Journal |
Nanotechnology Perceptions
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Volume |
20
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Issue |
S7
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Number of Pages |
1113-1120,
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Type of Article |
Article
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ISBN Number |
16606795 (ISSN)
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DOI |
10.62441/nano-ntp.v20iS7.91
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Publisher |
Collegium Basilea
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Journal Article
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