Tool provides options for product lifecycle, therapeutic area, modeling approach and various external and internal events for modeling.
Sub-national forecasting provides granular, market-specific visibility needed for commercial decision-making. This enhances decisions based on national forecasts.
While national trends give a broad picture, they often overlook critical variations in demand, prescribing behavior, and patient needs at the local level, leading to sub-optimal decisions.
Our solution uses Agent-based Forecasting, an advanced form of Agentic AI to simulate the market ecosystem (patients, payers, prescribers) at incredibly granular regional levels. By simulating dynamics at a sub-national level, we provide rapid scenario modeling and competitive simulations that de-risk your entire commercial planning process.
Tool provides options for product lifecycle, therapeutic area, modeling approach and various external and internal events for modeling.
AI-assisted workflow makes it simple to use and provides version control to save scenarios with corresponding underlying modeling assumptions.
In-built AI and machine learning models allow rapid modeling at various sub-national levels, including scenario modeling.
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