Forecasting new product demand without dependable analogue mapping often pushes launch teams toward inflated projections, weak planning assumptions, and avoidable commercial exposure.
Forecasting new product demand without dependable analogue mapping often pushes launch teams toward inflated projections, weak planning assumptions, and avoidable commercial exposure.
A global pharmaceutical manufacturer operating across OTC categories needed a scalable forecasting capability for future drug launches. A unified modelling framework combined analogue identification, feature engineering, and predictive forecasting to improve launch accuracy and strengthen portfolio planning.
Launch teams moved away from opaque estimation methods toward a repeatable, data-backed process — reducing dependence on assumptions and enabling more confident commercial decisions at the planning stage.
Tell us about your data challenge and we'll come back with a clear, actionable plan — no jargon, no fluff, just a path forward.
