What is the difference between forecast-based inventory optimization and simulation-based optimization?

Forecast-based optimization relies on accurate forward-looking forecasts and suits stable, high-volume items. Simulation models many demand scenarios, including variability and uncertainty, and tests how stocking policies perform across them.

What’s the difference between inventory optimization based on demand forecasting versus simulation-based optimization?

RSI FAQ Question 04

Statistical forecasting predicts demand from history; simulation tests thousands of scenarios to choose stocking policies under uncertainty.

Forecast-based Optimization

Relies on accurate forward-looking forecasts.
Works for highly stable, high-volume items.
Struggles with volatile, intermittent, or “long-tail” SKUs.

Simulation-based Optimization

Models thousands of demand scenarios, including variability and uncertainty.
Tests how different stocking policies perform across those scenarios.
Provides a distribution of outcomes rather than a single forecast.

Analogy

Forecast = a weather prediction for tomorrow

Simulation = running 10,000 weather scenarios to prepare for both sunny skies and thunderstorms

When to use which

Very stable, high-volume SKUs → models using forecasts may be fine.
High uncertainty, long-tail, seasonal, or critical-service SKUs → simulation adds major value.

Key takeaway

Forecasting tells you what might happen. Simulation tells you what will probably happen and what to do about it.

Related Simulation versus traditional formulas Priority Planning Services (PRIO)

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