A fully automated 12‑month rolling forecasting engine with Base, Optimistic and Stress scenarios.
Designed for leadership planning, sensitivity testing and operational decision‑making.
The model integrates historical actuals, editable assumptions, dynamic scenario selection and
sensitivity multipliers. All charts and KPIs update instantly based on user inputs.
The forecasting engine uses structured inputs for revenue, volume, price, COGS and OpEx.
Scenario drivers are stored as true decimals, enabling precise compounding calculations.
A sensitivity module applies low/high shocks to key drivers and quantifies their impact on gross profit.
A variance module backtests forecast accuracy against actuals, decomposing variance into
volume, price, COGS and OpEx contributions.