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Launch Intelligence: Turning the Launch Forecast into a Decision Engine
The Challenge
Launch decisions are increasingly dynamic, but forecasting workflows remain static. Forecasts are still anchored in disconnected datasets, spreadsheet-based models and manually maintained assumptions, making it hard to explain why a forecast changes or to test what happens if the market changes.
Key Challenges
- Fragmented Market Inputs: Epidemiology, patient flow, treatment patterns, pipeline, access and market data sit across multiple sources and need manual consolidation.
- Forecasts Hard to Interrogate: Assumptions, source provenance and calculation logic are spread across tabs, files and analyst knowledge.
- Resource-Intensive Scenario Analysis: Assessing a competitor launch, access delay or clinical event can require substantial model rework.
- Disconnected Market Intelligence: Pipeline and competitor events are monitored separately rather than translated into forecast implications.
- Difficult Cross-Market Scaling: Global models need a consistent methodology while accommodating country-specific epidemiology, treatment patterns, access and launch assumptions.
Our Solution
Launch Intelligence transforms forecasting from a static model into a connected decision system. It connects epidemiology, patient flow, market, product, pipeline and event intelligence with an AI-enabled forecasting and simulation layer, while preserving transparency and user control over assumptions.
Epidemiology & Patient Flow Intelligence:
Models the patient journey from incidence through diagnosis, treatment, eligibility and drop-off across markets.
Market & Product Intelligence:
Combines treatment dynamics, competitive positioning and product attributes with analog-based adoption benchmarks to estimate uptake, persistence and switching.
Pipeline & Event Intelligence:
Continuously monitors pipeline assets and clinical, regulatory, access and guideline events to identify potential forecast drivers.
AI-Enabled Forecasting & Scenario Simulation:
Simulates how clinical, competitive, access and pricing changes affect adoption, share and revenue, using validated inputs and transparent assumptions.
Launch Sequencing:
Prioritizes markets and launch timing based on opportunity, competitive intensity, access, readiness and expected value.
The Outcomes
The outcome is a single intelligence layer connecting market understanding to launch decisions. Teams move from a point-in-time forecast to a continuously interrogated view of market opportunity, risk and launch potential.
Connected Market Intelligence:
Data sources, pipeline and event intelligence come together in one view.
Standardized, AI-Assisted Forecasting:
A consistent workflow replaces spreadsheet-heavy forecasting.
Traceable Assumptions & Evidence:
Hidden, distributed assumptions become visible and traceable.
Dynamic Scenario-Based Outlook:
A live, scenario-based view replaces point-in-time forecasts.
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