Pharma Lifecycle Forecasting predicts sales for each brand and country, at launch, in market and after loss of exclusivity. Instead of averaging a few handpicked lookalike drugs, the model learns from every similar drug and from the brand’s own market data, and forecasts each quarter ahead. Every forecast comes with a likely range, the drivers behind it, and scenarios planners can test, such as a price cut before the patent date. The demo uses anonymised data. Loss of exclusivity is fully built and backtested, in market is built, and launch is a proof of concept.
Rasmus Gregersen