Fixing the Decision Speed Gap in Modern Supply Chains - with Joris Wijpkema of Optilogic
Supply chains are failing during disruptions not because of data or tools, but because their core planning systems were never designed to evaluate structural changes at speed. Joris Wijpkema of OptiLogic argues that Advanced Planning Systems (APS) and ERPs act like CPUs—excellent for execution but blind to strategic trade-offs. The real solution? A 'GPU-like' AI-native modeling layer that runs thousands of scenarios in minutes, simulating network changes, inventory policies, and routing strategies. This digital twin capability, once confined to long-term design studies, is now being integrated into weekly planning cycles. The breakthrough isn't just technology—it's trust: when teams use the same data and models daily, they believe the recommendations during crises. Companies that bridge the gap between design and planning don't just react faster; they turn disruption into competitive advantage. The future of supply chains isn't better spreadsheets—it's autonomous, parallel scenario evaluation that feeds directly into execution systems. The most powerful insight? Resilience isn't built in a war room. It's baked into the system through continuous, real-time modeling that aligns every function around the same data and decisions. When a shock hits, the answer isn't panic—it's a pre-validated, AI-driven response that’s already been stress-tested across thousands of scenarios.
APS and ERP systems were built for execution, not for evaluating structural supply chain changes at speed—this is the root cause of decision delays during disruptions.
A dedicated AI-native modeling layer can simulate thousands of scenarios in minutes, evaluating network, inventory, and routing changes across multiple dimensions.
Digital twins must be integrated into planning systems (like S&OP) to build trust and enable real-time, aligned decision-making across functions.
The most resilient supply chains are those where design and planning teams use the same data and models daily, so decisions during crises are trusted and executable.
Companies that already have strategic design models can convert them into 12–18 month planning models with minimal investment to accelerate adoption.
…and 3 more takeaways available in PodZeus
The Crisis of Decision Speed in Supply Chains
“Supply chain organizations still make critical decisions without the ability to model routine inventory strategies or network changes at the depth required.”
From Crisis Mode to Proactive Resilience
Joris explains how most companies default to crisis mode—spreadsheets, war rooms, and manual analysis—after a shock. The real opportunity lies in using digital twins to simulate thousands of scenarios in advance, enabling true responsiveness and strategic advantage.
The Trust Deficit in Modeling
“You don't want to be in a position where you can actually take action, take the wrong action. Because then you're already three steps behind.”
The Design-Planning Divide and Its Collapse
“It's not just about having that technical capability in place during the crisis, it is actually having a track record of using that technical capability to get really good outcomes.”
The GPU Analogy: Augmenting the Planning CPU
“You have the CPU, which is our ERP or an APS, and it's our standard planning processes, but they're getting augmented now with the GPU in the form of design technology.”
“You have the CPU, which is our ERP or an APS, and it's our standard planning processes, but they're getting augmented now with the GPU in the form of design technology.”
“want to be if you're in a position where you can actually take action, take the wrong action. Because then you're already three steps behind.”
“He argues that the real problem is that APS and ERP systems were built for execution, not for evaluating large sets of structural options when conditions shift.”
Host
Guest
Joris Wijpkema
person
APS
other
ERP
other
OptiLogic
organization
S&OP
other
Emerge
organization
Snowflake
organization
Databricks
organization
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