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The Problem with Point Forecasts

Most organizations produce a single demand number for each SKU-location-period combination. This creates a false sense of certainty. In reality, demand is a probability distribution, not a point. When leadership asks "What will Q3 demand be?" the honest answer is always a range with associated probabilities.

AI makes scenario-based planning practical at scale. Instead of asking one analyst to manually build three scenarios for ten product families, you can generate hundreds of scenarios across thousands of SKUs in minutes.

Detecting Forecast Bias with AI

Before you can forecast the future accurately, you need to understand how you've been wrong in the past. Forecast bias — the systematic tendency to over- or under-predict — is the silent killer of planning accuracy.

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What you'll learn:

  • Use AI to generate and stress-test demand scenarios
  • Detect and correct systematic biases in historical forecasts
  • Structure AI prompts for probabilistic demand ranges