AI-Driven Enterprise Supply Chain Intelligence: A Technical Deep Dive

This article explores the transformative impact of AI-powered data platforms on enterprise supply chain management, focusing on architecture, implementation strategies, and performance optimization. The article examines how modern enterprises are leveraging artificial intelligence to enhance their supply chain operations through advanced analytics, cloud integration, and machine learning capabilities. The article presents a comprehensive analysis of key technical components, including real-time data processing, predictive analytics, and security frameworks, while evaluating their effectiveness in improving operational efficiency and decision-making processes. Through examination of implementation cases and performance metrics, the article demonstrates how AI-driven platforms are revolutionizing supply chain optimization, risk management, and compliance monitoring across various industries.

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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-04-28
DOI
https://doi.org/10.32996/jcsts.2025.7.2.66
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

AI-Driven Enterprise Supply Chain Intelligence: A Technical Deep Dive

Kanchana Selvarajan
1 citations
Journal of Computer Science and Technology Studies
Big Data and Business Intelligence
2.28
article

AI-Driven Enterprise Supply Chain Intelligence: A Technical Deep Dive

Kanchana Selvarajan
article en
1 citations

Abstract

This article explores the transformative impact of AI-powered data platforms on enterprise supply chain management, focusing on architecture, implementation strategies, and performance optimization. The article examines how modern enterprises are leveraging artificial intelligence to enhance their supply chain operations through advanced analytics, cloud integration, and machine learning capabilities. The article presents a comprehensive analysis of key technical components, including real-time data processing, predictive analytics, and security frameworks, while evaluating their effectiveness in improving operational efficiency and decision-making processes. Through examination of implementation cases and performance metrics, the article demonstrates how AI-driven platforms are revolutionizing supply chain optimization, risk management, and compliance monitoring across various industries.

Journal of Computer Science and Technology StudiesVol. 7(2)
University of Illinois Urbana-Champaign (US)
Openalex Percentile: Top 13%
Big Data and Business Intelligence
2.28
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