Adopting Artificial Intelligence for Smarter Logistics and Risk Management

The integration of Artificial Intelligence (AI) into logistics and risk management has revolutionized the way businesses operate, offering unprecedented levels of efficiency, accuracy, and predictive capabilities. This paper explores the transformative impact of AI on logistics and risk management, focusing on its applications in supply chain optimization, predictive analytics, and risk mitigation. By leveraging AI technologies such as machine learning, natural language processing, and computer vision, organizations can enhance decision-making processes, reduce operational costs, and improve overall resilience. This paper also discusses the challenges and ethical considerations associated with AI adoption, providing a comprehensive overview of the current state and future prospects of AI in logistics and risk management.

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Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-03-01
DOI
https://doi.org/10.35629/5252-0703468472
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

Adopting Artificial Intelligence for Smarter Logistics and Risk Management

Oluwatumininu Ajayi
1 citations
International Journal of Advances in Engineering and Management
Digital Transformation in Industry
1.24
article

Adopting Artificial Intelligence for Smarter Logistics and Risk Management

Oluwatumininu Ajayi
article en
1 citations

Abstract

The integration of Artificial Intelligence (AI) into logistics and risk management has revolutionized the way businesses operate, offering unprecedented levels of efficiency, accuracy, and predictive capabilities. This paper explores the transformative impact of AI on logistics and risk management, focusing on its applications in supply chain optimization, predictive analytics, and risk mitigation. By leveraging AI technologies such as machine learning, natural language processing, and computer vision, organizations can enhance decision-making processes, reduce operational costs, and improve overall resilience. This paper also discusses the challenges and ethical considerations associated with AI adoption, providing a comprehensive overview of the current state and future prospects of AI in logistics and risk management.

International Journal of Advances in Engineering and ManagementVol. 7(3)
Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
Openalex Percentile: Top 21%
Digital Transformation in Industry
1.24
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