Each template is a configurable computation engine. Select one, provide your assumptions, and get a fully-validated revenue forecast in seconds.
Models new patient growth with cohort-based persistency decay, then calculates vials, gross sales, and net sales through a pricing/GTN pipeline. Based on a real pharma revenue forecasting model.
Top-down revenue model: external market data scaled by ProductX share (uptake curve + event impacts), converted to bottles, priced through WAC and GTN. Replicates the structure of a published commercial pharma model.
Bring in real monthly data from an Excel or CSV export. Map columns to a methodology's series so forecasts start from what already happened — and the AI can compare your scenario against the trend.