The gap between what AI software vendors promise and what happens in the real-world supply chain is widening. While the industry hypes autonomous decision-making, supply chain experts know the truth: AI is a powerful tool for acceleration, but it is not a replacement for human expertise.
We recently hosted a live webinar, AI in Supply Chain Design & Optimization: Hype vs. Reality, to cut through the noise.
Industry experts Bob Ferrari (The Ferrari Group), Chris Keller (Argon & Co), and Raphael Yue (Sophus) came together to discuss how emerging tech is practically reshaping network design, shifting it from a rigid, three-year strategic exercise into a continuous, always-on capability.
Want to see what this looks like in practice?
Request a demo or get in touch to talk through what always-on network design could look like for your organisation.
In this session, we explored the uncomfortable questions:
- The 80/20 Problem: Why 80% of a modeler’s time is still being lost to repetitive data prep, and how agentic AI is finally shifting that effort back to strategy.
- The “Human-in-the-Loop” Mandate: Why the most valuable analyst in 2027 won’t be the best coder, but the expert who knows how to challenge, validate, and contextualize AI outputs.
- Always-On Design: Moving away from rigid, three-year strategic cycles toward a continuous, always-on capability that handles both strategic “what-ifs” and daily operational disruptions.
