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Integrating AI and IoT in Supply Chains: A Scholarly Analysis

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  • Victor Samuel Gabriel

    (Bradley University, USA)

Abstract

The convergence of Artificial Intelligence (AI) and Internet of Things (IoT) is fundamentally transforming modern supply chain landscapes, offering solutions to increasing complexity brought by globalization, demand volatility, and dynamic market conditions. This article explores how the integration of these technologies enhances supply chain efficiency, transparency, and resilience through improved data collection, analysis, and decision-making capabilities. By examining the conceptual framework underpinning this technological synergy, various applications across warehousing, transportation, and risk management, and addressing implementation challenges including data quality, security, and scalability concerns, this article outlines the transformative potential of AI-IoT integration in creating more responsive, efficient, and resilient supply networks capable of navigating increasingly unpredictable global conditions.

Suggested Citation

  • Victor Samuel Gabriel, 2025. "Integrating AI and IoT in Supply Chains: A Scholarly Analysis," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(4), pages 1016-1022, May.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:4:id:9726
    DOI: 10.32996/jcsts.2025.7.4.114
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