Agentic artificial intelligence is gaining attention as a transformative force in supply chain management, enabling systems to move beyond passive analytics toward autonomous, goal-driven decision-making. According to insights highlighted by Taylor & Francis in its special issue on agentic supply chains, organisations are increasingly exploring AI agents that can sense disruptions, evaluate trade-offs, and take coordinated actions across complex supply networks with minimal human intervention.
Unlike traditional automation or predictive analytics, agentic AI systems operate with embedded objectives and contextual awareness. These systems can dynamically negotiate supplier constraints, reroute logistics, adjust inventory strategies, and manage risk responses in real time. As global supply chains face persistent disruptions from geopolitical tensions, climate events, cyber risks, and demand volatility, agentic AI offers a pathway to faster, more adaptive resilience.
Researchers note that agentic supply chains rely on a combination of real-time data ingestion, multi-agent coordination, reinforcement learning, and human-in-the-loop governance. This architecture allows AI agents to learn from outcomes, refine decision policies, and collaborate across procurement, manufacturing, logistics, and risk management functions. Importantly, governance frameworks remain critical to ensure transparency, accountability, and ethical alignment in autonomous decision-making.
The growing interest in agentic AI reflects a broader shift from reactive disruption management to proactive, self-adjusting supply chain ecosystems. Organisations adopting these models are better positioned to anticipate cascading risks, optimise trade-offs between cost and resilience, and maintain continuity under stress. However, experts caution that successful adoption requires strong data foundations, cybersecurity safeguards, and clear escalation mechanisms for human oversight.
As enterprises rethink supply chain strategies for an era of permanent uncertainty, agentic AI is increasingly viewed not as a futuristic concept but as a practical enabler of resilient, intelligent, and risk-aware supply chains.
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