Turning Demand Uncertainty into Structural Insight with Merlinn

🟢 How Commercial and Supply Planning Teams Read Demand Behavior with Merlinn

In healthcare planning, the biggest risks rarely come from execution. They come from early demand assumptions that quietly lose validity over time.

Production, procurement, and supply decisions are often made months in advance — long before demand has fully settled. Interpreting early signals responsibly, without overreacting, is therefore critical.

In this article, I share how Merlinn is used to make demand behavior more visible at a system level, helping teams pause, question assumptions, and interpret planning sensitivity before decisions are locked in.

If you work across commercial, supply planning, or governance functions, you may find this perspective familiar.

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