The Role of Artificial Intelligence in Optimizing Supply Chain Efficiency in Smart Logistics

This research aims to explore the transformative role of Artificial Intelligence (AI) in enhancing smart logistics systems. It explores how AI, combined with other advanced technologies such as Machine Learning (ML), the Internet of Things (IoT), and Big Data, enhances supply chain management, reduces costs, and improves operational efficiency. Additionally, the study highlights the contributions of AI in promoting sustainable practices and addressing challenges within contemporary logistics frameworks.The methodology employed is qualitative, involving an extensive review of academic literature, industry reports, and real-world case studies. Data from credible sources, including peer-reviewed journals and industry examples such as DHL and UPS, were analyzed to identify key trends and innovations in smart logistics. Through an interpretive approach, the study provides in-depth insights into the implications of AI-driven technologies for improving logistics operations, customer satisfaction, and decision-making capabilities.This research underscores the significant impact of AI on logistics transformation, offering a comprehensive understanding of its potential to revolutionize supply chain systems in the face of evolving industrial demands.

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Publication Details

Published
2025-05-07
DOI
https://doi.org/10.1109/aiit63112.2025.11082892
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

The Role of Artificial Intelligence in Optimizing Supply Chain Efficiency in Smart Logistics

Nourhan Foaad Nasib, Shahenda Haraz
1 citations
Digital Transformation in Industry
1.24
article

The Role of Artificial Intelligence in Optimizing Supply Chain Efficiency in Smart Logistics

Nourhan Foaad Nasib, Shahenda Haraz
article en
1 citations

Abstract

This research aims to explore the transformative role of Artificial Intelligence (AI) in enhancing smart logistics systems. It explores how AI, combined with other advanced technologies such as Machine Learning (ML), the Internet of Things (IoT), and Big Data, enhances supply chain management, reduces costs, and improves operational efficiency. Additionally, the study highlights the contributions of AI in promoting sustainable practices and addressing challenges within contemporary logistics frameworks.The methodology employed is qualitative, involving an extensive review of academic literature, industry reports, and real-world case studies. Data from credible sources, including peer-reviewed journals and industry examples such as DHL and UPS, were analyzed to identify key trends and innovations in smart logistics. Through an interpretive approach, the study provides in-depth insights into the implications of AI-driven technologies for improving logistics operations, customer satisfaction, and decision-making capabilities.This research underscores the significant impact of AI on logistics transformation, offering a comprehensive understanding of its potential to revolutionize supply chain systems in the face of evolving industrial demands.

Arab Academy for Science, Technology, and Maritime Transport (EG)
Affordable and clean energy
Openalex Percentile: Top 17%
Digital Transformation in Industry
1.24
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