Reinventing supply chain dynamics: The rise of intelligent AI Agents

Guduru, Aravind (2025) Reinventing supply chain dynamics: The rise of intelligent AI Agents. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 721-729. ISSN 2582-8266

[thumbnail of WJAETS-2025-0581.pdf] Article PDF
WJAETS-2025-0581.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download ( 535kB)

Abstract

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.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.2.0581
Uncontrolled Keywords: Intelligent AI Agents; Collaborative Intelligence; Supply Chain Transformation; Real-Time Analytics; Demand Forecasting
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:25
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3569