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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Reinventing supply chain dynamics: The rise of intelligent AI Agents

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  • Reinventing supply chain dynamics: The rise of intelligent AI Agents

Aravind Guduru *

The Pennsylvania State University, USA.

Review Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 721-729

Article DOI: 10.30574/wjaets.2025.15.2.0581

DOI url: https://doi.org/10.30574/wjaets.2025.15.2.0581

Received on 22 March 2025; revised on 03 May 2025; accepted on 05 May 2025

Intelligent AI agents are revolutionizing supply chain management by transforming reactive systems into proactive, data-driven ecosystems. This article explores how these agents monitor digital consumer behavior across e-commerce platforms to anticipate demand shifts before traditional analytics detect changes. It outlines the collaborative intelligence model where multiple specialized agents communicate to optimize inventory, logistics, and pricing decisions. The three-tiered intelligence framework—encompassing sensing and insight, strategic decision-making, and operational execution—enables organizations to translate real-time consumer signals into actionable strategies. By automating routine tasks, these interconnected AI systems free human talent to focus on long-term planning and creative problem-solving, ultimately creating more agile and responsive supply chains. 

Intelligent AI Agents; Collaborative Intelligence; Supply Chain Transformation; Real-Time Analytics; Demand Forecasting

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0581.pdf

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Aravind Guduru. Reinventing supply chain dynamics: The rise of intelligent AI Agents. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 721-729. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0581.

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