AI is no longer just a buzzword—it’s a business imperative. But the challenge for many supply chain leaders isn’t whether to use AI, it’s how to use it effectively. The promise of AI in the supply chain has never been louder—or more misunderstood. While many organizations still debate the definition of “real AI,” leading teams are already using machine learning, optimization, and agentic systems to improve planning agility, forecasting accuracy, and decision automation.
In this second installment of our AI webinar series, we move from theory to action. This session explores practical, real-world use cases—like intelligent network design, anomaly detection, automated vehicle routing, and sequential-year planning—and discusses what it takes to evolve from experimentation to embedded value. Framed through the lens of both field-proven applications and Gartner’s outlook for AI in supply chain, this conversation will help you identify AI-ready opportunities, avoid common traps, and understand how AI can reshape your supply chain—not as a one-off project, but as a component of a dynamic decision framework. If you’re ready to move from pilot to progress, this is the session for you.
What you will take away:
See what real AI looks like in action through supply chain use cases across planning and design.
Discover practical applications of AI that are already delivering measurable value in areas like forecasting, transportation routing, and network optimization—without waiting for full “autonomy.”
Understand how AI is quietly reshaping supply chain operations through sequential decisioning, simulation, and data orchestration, especially in long-range planning scenarios.
Differentiate between real AI and “AI-washed” features by learning to identify systems that learn, predict, and act—vs. those that merely automate workflows.
Gain insights into emerging trends, including Agentic AI, probabilistic modeling, and the orchestration layer that will define future supply chain platforms.
Speakers:
Scott Fenwick, VP, Product Management, GAINS
Bill Benton, Co-Founder, GAINS
Antonio Nanni, Data Scientist, GAINS
