Gartner’s theme for Supply Chain Symposium/Xpo 2026 Dynamic by Design is a call to action most CSCOs already feel in their bones. Renew your vision. Rethink your models. Recode your supply chain for an era where AI and autonomous decision-making are no longer optional.
It’s the right challenge. But here’s the question we’ll be exploring in Orlando: designed by whom, for what reality?
Most supply chains aren’t designed for dynamism, they’re reacting to it, creating a chasm where performance breaks down.
Too many supply chain transformations are designed in conference rooms and PowerPoint decks: elegant in theory, brittle the moment they meet actual manufacturing constraints, material lead times, or a demand signal that shifts overnight.
The “autonomous era” sounds compelling. But autonomy built on a fragile planning foundation doesn’t produce resilience. It produces faster failure.
Complex manufacturers know this better than anyone. When your supply chain involves multi-stage production, constrained capacity, specialty inputs, and global interdependencies, the gap between what your planning system assumes and what your operations actually require isn’t a minor inefficiency; it’s where margin disappears and risk accumulates unseen.
The CSCOs we most respect aren’t asking “how do we move faster?” They’re asking: How do we build planning systems that reflect the real constraints our teams operate under, and still give us the speed and agility the business demands?
The Problem Isn’t Change. It’s What Your Planning Model Assumes
Volatility isn’t new. What’s changed is the speed and frequency.
Tariffs shift overnight. Demand signals distort faster than they stabilize. Production constraints don’t flex just because the market does.
Yet many planning systems still operate on assumptions that were set years ago:
- Infinite capacity models
- Simplified constraints
- Static policies embedded in code or spreadsheets
- Scenario planning that lives outside the actual plan
This results in misalignment between what leadership believes is happening and what operations can actually execute.
That’s where “dynamic” efforts stall before they start.
Dynamic by Design Requires Something Most Systems Don’t Have
Dynamism isn’t about running more scenarios, it’s about whether your planning system can actually operate in the conditions your business faces. That means representing how your supply chain truly runs, not a simplified version of it.
It means adapting as conditions change without breaking models or requiring constant rework. It means making trade-offs across service, cost, and risk visible and explainable, so decisions can be made quickly and confidently. And it means supporting those decisions in minutes, not across planning cycles.
Most platforms struggle here because they were never designed to model real-world complexity in the first place. If the foundation is static, no amount of AI or automation will make it dynamic.
Join Us at Gartner
The Gartner Symposium is one of the few places where supply chain leaders step back and ask the bigger question: Is our planning approach actually built for what’s coming next?
That tension between operational reality and transformation ambition is exactly what we’ll be discussing at Gartner next month.
We’ll be onsite discussing how organizations are moving beyond static planning models and what it takes to operate a supply chain that is truly dynamic by design.
If you’re a CSCO attending Orlando this May, we’d welcome 30 minutes to explore where your planning stands today and what it needs to look like to support the kind of dynamic, resilient supply chain Gartner is challenging us all to build.
