Reduce Ambiguity with Sub-National Forecasting

Sub-national forecasting provides granular, market-specific visibility needed for commercial decision-making. This enhances decisions based on national forecasts.

National Forecasts Mask Local Variabilities

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.

Missed Opportunities

National forecasts average out critical differences, obscuring where you need to focus resources and where competitors pose the greatest regional threat.

Imbalanced Resource Allocation

Inefficient launch planning based on averaged data causes you to miss critical sub-market access windows and emerging regional payer trends.

Stockouts and Overstocking

Decisions on territory alignment, sales force sizing, and regional media spend are based on insufficient data, driving up unnecessary risk and costs.

GeoForecast: Next-Gen Subnational Forecasting, Powered by AI

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.

GeoForecast Advantages

Broad Applicability

Tool provides options for product lifecycle, therapeutic area, modeling approach and various external and internal events for modeling.

Intuitive UI Design

AI-assisted workflow makes it simple to use and provides version control to save scenarios with corresponding underlying modeling assumptions.

Subnational Forecasting

In-built AI and machine learning models allow rapid modeling at various sub-national levels, including scenario modeling.

Transform regional complexity into actionable clarity.

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