Agentic AI represents a class of AI architectures designed to exhibit autonomy, goal-orientation, and context-aware decision-making. Unlike traditional AI models that simply offer insights or predictions, agentic AI systems take initiative—interpreting real-time signals, recommending responses, and even executing tasks autonomously. In the context of supply chain management,
Agentic AI empowers systems to proactively monitor disruptions, simulate risks, and initiate mitigative workflows. These systems integrate LLMs, decision engines, and orchestration frameworks to enable autonomous action within governed boundaries.