Supply Chain Resilience Fails When Decisions Move Too Slowly

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What if your biggest supply chain risk isn’t disruption, but the time it takes to decide what to do next?

In this episode of the Resilient Supply Chain Podcast, I’m joined by Robbert de Looff, Industry Commercial Lead for Chemicals at OMP, to explore why supply chain resilience now depends on more than better forecasting. In a world of energy price spikes, shipping disruption, raw material constraints, sustainability pressures, and geopolitical shocks, visibility is useful, but only if it leads to better, faster decisions.

Robbert and I break down why traditional planning cycles can leave companies reacting weeks too late, and why decision-centric planning is becoming so important for supply chain leaders. You’ll hear how organisations can move from rigid S&OP rhythms to scenario-based planning, where teams know what data they need, who owns the decision, and when action is genuinely required.

You might be surprised to learn that “real-time planning” doesn’t mean constantly changing the plan. Sometimes the best real-time decision is not to act. We also explore where AI can help, from surfacing relevant risks to running what-if scenarios, and where humans still need to stay firmly in control: relationships, judgement, and trust.

Kismet: one of the sharpest examples is the Rhine running low. Not a cyberattack. Not a system failure. Just water levels quietly deciding whether chemical supply chains can keep moving. Resilience, it turns out, can still be humbled by a river.

🎙️ Listen now to hear how Robbert de Looff and OMP are rethinking data, visibility, risk, and decision-making for more resilient, sustainable supply chains.

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