Integrating AI and IoT in Supply Chains: A Scholarly Analysis

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.

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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-26
DOI
https://doi.org/10.32996/jcsts.2025.7.4.114
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

Integrating AI and IoT in Supply Chains: A Scholarly Analysis

Victor Samuel Gabriel
1 citations
Journal of Computer Science and Technology Studies
Digital Transformation in Industry
1.24
article

Integrating AI and IoT in Supply Chains: A Scholarly Analysis

Victor Samuel Gabriel
article en
1 citations

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.

Journal of Computer Science and Technology StudiesVol. 7(4)
Bradley University (US)
Openalex Percentile: Top 19%
Digital Transformation in Industry
1.24
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