Plan
What-if Simulator
Real-time P&L sensitivity analysis — move a driver like FX or raw materials and watch the result change, with saved, versioned scenarios and a variable builder.
The What-if Simulator answers "what happens to profit if…". Move a driver — revenue, raw materials, FX — and the P&L recalculates in real time. You can save scenarios, branch them into versions, and document the assumptions behind each one, so a simulation is defensible rather than just a guess.
What you can do
- Adjust core drivers — Revenue, Raw materials, Labor, Logistics, FX (USD/KRW), and Manufacturing overhead — and see the P&L move in real time.
- Pull from a variable library, or use the variable builder to define your own custom driver.
- Create multiple scenario versions — copy an existing scenario to make a variation, then compare them side by side.
- Choose a forecasting method — linear, seasonal, or pattern-based — for how a driver projects forward.
- Capture scenario method documentation — assumptions, data sources, and elasticity coefficients — and save scenarios with author and timestamp.
How to run a simulation
- 1Open the What-if Simulator and confirm the data period and version the simulation is based on.
- 2Add drivers from the variable library, or build a custom one in the variable builder.
- 3Move a driver — say, FX or raw materials — and watch the P&L recalculate in real time.
- 4Document the assumptions, data sources, and elasticity coefficients in the scenario method notes.
- 5Save the scenario. To test a variation, duplicate it and edit the copy — the original stays untouched.
Scenario versions
Need a variation? Duplicate the scenario — the original stays intact, and the copy records which scenario it was made from. Each saved scenario also keeps its author, timestamp, and assumption notes, so "why did this simulation assume that?" is always easy to answer.
Heads up
A simulation is only as good as its assumptions. Always fill in the scenario method documentation — assumptions, data sources, elasticity — so results can be reviewed and trusted, not taken on faith.
Tip
Pick the forecasting method to fit the driver: linear for steady trends, seasonal for cyclical items, and pattern-based when the pattern is complex or driven by narrative context. Forecasts are modeled estimates — clearly labeled and distinct from your traceable actuals.
Next steps
Was this article helpful?