Accurate and timely forecasting is critical for commercial success in the pharma industry – whetherestimating demand, projecting sales, managing inventory, allocating budgets, or planning resources. Chryselys’ Forecasting capability equips strategy, commercial, finance, launch and supply chain teams with the tools to anticipate what’s next, using historical data, market signals, real and anticipated events and advanced analytics to drive informed, timely decisions.
Enhances business confidence through consistent and validated forecasting model. Reduces over- or under-forecasting risks across geographies and product portfolios.
Works seamlessly with Chryselis’ broader analytics stack, including sales intelligence, brand tracking, and payer dynamics.
Equips leadership teams with reliable foresight to respond quickly to market shifts. Drives better agility in sales and operations planning.
Brings consistency across sales, finance, and supply chain teams to reduce planning friction.
Aligns inventory planning, financial projections, and field force efforts with expected demand.
Adapts to evolving needs across therapeutic areas, geographies, and business units.
Chryselys CI integrates real-time monitoring, expert analysis, and scalable intelligence delivery to move beyond “what happened” and focus on “what this means for you.”
In today’s dynamic environment, inaccurate forecasts can lead to stockouts, excess inventory, missed revenue targets, or inefficient resource allocation. Teams need reliable methods to predict future trends while accounting for market variability, channel complexity, and product lifecycle shifts.
Pharma markets today are influenced by numerous moving parts – regulatory timelines, payer access, competitive launches, clinical uptake curves, and macroeconomic shifts. Static or siloed forecasting methods struggle to keep up.
Commercial, supply chain, finance, and market access teams each require different forecast lenses. A one-size-fits-all approach often falls short of supporting diverse planning goals.
Inaccurate forecasts can lead to poor inventory planning, missed opportunities, or resource misalignment – especially for new product launches or in high-variability therapeutic areas like oncology or rare diseases.
Combines statistical models (ARIMA, exponential smoothing) with AI/ML for enhanced accuracy.
Tailored frameworks for specialty, retail, and rare disease products that account for unique demand drivers.
Aligns with Chryselys’ offerings across data, analytics, and operations for full visibility from forecast to action.
Embedded workflows to track changes, version control, and approvals across business teams.
Validates and refines assumptions, detects anomalies and generates synthetic data
Looking to track demand trends and align sales strategies.
Launch Teams to drive strong product uptake and execution excellence.
Aiming to create accurate revenue forecasts and manage budgets.
Launch Teams to drive strong product uptake and execution excellence
Aiming to create accurate revenue forecasts and manage budgets.
Integrating predictive and GenAI technologies enhance accuracy and efficiency of forecasting by identifying hidden trends, validating assumptions, enabling scenario comparisons, track forecast evolution and intuitive visualizations
Get to know ForecastIQ our proprietary engine built to drive precision, agility, and insight across forecasting use cases.
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