The Transformative Impact of Artificial Intelligence on Supply Chain Management: A Contemporary Analysis

This article examines the transformative impact of Artificial Intelligence (AI) on supply chain management, focusing on four key areas: supply chain evolution, demand forecasting, warehouse automation, and logistics optimization. The article analyzes comprehensive data from global enterprises to demonstrate how AI implementation has revolutionized traditional supply chain processes. The article reveals significant improvements in operational efficiency, inventory management, and customer satisfaction through AI-driven solutions. The article highlights how machine learning algorithms and predictive analytics have enhanced demand forecasting accuracy, reduced supply chain disruptions, and optimized warehouse operations. Furthermore, the integration of AI-powered robotics and automation in logistics has led to substantial improvements in delivery performance, resource utilization, and environmental sustainability, marking a paradigm shift in supply chain management practices.

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n25120126
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

The Transformative Impact of Artificial Intelligence on Supply Chain Management: A Contemporary Analysis

Poorani Subramanian
European Journal of Computer Science and Information Technology
Supply Chain Resilience and Risk Management
article

The Transformative Impact of Artificial Intelligence on Supply Chain Management: A Contemporary Analysis

Poorani Subramanian
article en

Abstract

This article examines the transformative impact of Artificial Intelligence (AI) on supply chain management, focusing on four key areas: supply chain evolution, demand forecasting, warehouse automation, and logistics optimization. The article analyzes comprehensive data from global enterprises to demonstrate how AI implementation has revolutionized traditional supply chain processes. The article reveals significant improvements in operational efficiency, inventory management, and customer satisfaction through AI-driven solutions. The article highlights how machine learning algorithms and predictive analytics have enhanced demand forecasting accuracy, reduced supply chain disruptions, and optimized warehouse operations. Furthermore, the integration of AI-powered robotics and automation in logistics has led to substantial improvements in delivery performance, resource utilization, and environmental sustainability, marking a paradigm shift in supply chain management practices.

European Journal of Computer Science and Information TechnologyVol. 13(25)
Openalex Percentile: Top 84%
Supply Chain Resilience and Risk Management
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