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Watch this insightful conversation for supply chain leaders.

Where Is AI in Planning Today — and Where’s It Going? brings together forward-looking perspectives on how AI is shaping the future of supply chain planning — right now. In this compelling discussion from Supply Chain Brain, ketteQ CEO Mike Landry sits down with Bob Bowman, Editor-in-Chief of SupplyChainBrain, to explore what’s real, what’s emerging, and what’s next for AI in planning.

In this discussion, Mike offers practical insights on:

  • Where AI currently fits into planning workflows and why it’s more than just buzz.
  • The promise of next-generation AI — especially agentic AI — that can assist planners and supercharge decision-making.
  • How companies can begin their AI planning journey today — with realistic expectations and real impact.

Whether you’re just beginning to explore AI or looking to deepen your understanding of how it’s affecting real planning functions, this video offers a clear, experience-based perspective from a leader in adaptive planning and AI-powered decision augmentation.

Watch the full conversation on SupplyChainBrain
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About the author

Mike Landry
Mike Landry
Chief Executive Officer

Mike Landry, CEO of ketteQ, leads the company’s mission to deliver the world’s most adaptive supply chain planning solutions. With decades of experience transforming how businesses plan, operate, and grow, Mike has built a career at the intersection of innovation, technology, and operational excellence. Before joining ketteQ, he served as SVP and Global Leader of the Supply Chain Service Line at Genpact, driving large-scale transformation for global enterprises. He previously led North American operations for Barkawi Management Consultants and, earlier in his career, founded Servigistics (now part of PTC), establishing it as the market leader in service parts planning and pricing solutions used by over 100 companies worldwide.

Mike’s expertise and vision help ketteQ empower organizations to move beyond legacy systems and embrace proactive, AI-driven planning that adapts in real time to any challenge. He holds a BS in Computer Science from Georgia Tech and an MBA in Economics from Georgia State University.

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