In an era defined by constant disruption, Chief Supply Chain Officers (CSCOs) and supply chain leaders are under mounting pressure to drive resilience, responsiveness, and precision in decision-making. Traditional systems built for stability, not volatility, fall short in today’s dynamic environment. Artificial intelligence is revolutionizing supply chain planning, and the latest evolution, Agentic AI, represents a seismic leap forward.

In this expert-authored guide, Cheryl Capps, former SVP and Chief Supply Chain Officer at Corning, and Chris Amet, CTO at ketteQ, chart the evolution of AI in supply chain management from predictive to generative to agentic, revealing how each phase builds toward a new era of autonomy, adaptability, and goal-driven decision-making. 

Key insights from the guide include:

• AI’s Evolution in Supply Chain: Understand the shift from reactive, insight-driven AI to real-time, action-oriented AI agents.
• What Sets Agentic AI Apart: Learn how autonomous AI agents reduce decision latency, optimize supply and demand, and respond to disruptions before they escalate.
• Real-World Applications: See how industry leaders like Carrier, NCR, Trimble, and Johnson Controls use Agentic AI to enhance forecast accuracy, automate planning, and drive performance gains.
• Best Practices for Implementation: Discover actionable strategies to prepare your data, align teams, and scale AI-driven transformation responsibly.

At the heart of this transformation is PolymatiQ™, ketteQ’s patent-pending agentic AI solver engine. Purpose-built for today’s supply chain challenges, PolymatiQ™ not only analyzes and recommends, but it also autonomously runs thousands of planning scenarios to enable informed, goal-oriented decisions in real-time.