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Anticipate.
Adapt.
Accelerate.

Demand Forecasting helps you predict consumer demand with confidence. It combines POS data, historical trends, and external factors to provide clear projections and scenario planning. Anticipate demand confidently with objective, fact-based forecasts and keep your business ready for what’s next.

Forecast consumer demand using POS data and external variables
Model unlimited scenarios to understand the impact of changes
See forecasts in minutes for faster planning
Customize models and plan up to five years ahead
Speak to an expert


Join more than 7,000 clients and partners worldwide

McDonalds
PepsiCo
Unilever
Sephora
7Eleven

Tariffs. Inflation. Disruption.

Uncertainty has never been higher.


Tariffs and inflation make demand harder to predict


Global tariffs and rising costs shift buying patterns overnight. Without customized forecasts, scenarios miss the mark.




Wrong forecasts lead to lost sales or excess inventory


Overstock ties up cash and storage. Understock means empty shelves and missed revenue. Both erode margins fast.

Outdated methods can’t keep up with today’s volatility


Spreadsheets and static models fail when consumer behavior changes weekly. You need dynamic, data-backed forecasting to stay ahead.

You can’t afford to guess.
Forecast your sales with data-backed models.

See clear projections using POS data and external variables

Circana combines your POS sales history with hundreds of causal factors for precise demand forecasts.

Test unlimited scenarios before committing resources

Model what-if situations with factors like seasonality shifts, economic indicators, or weather changes see the impact before you act.

Get fast insights to plan ahead and protect your margins

Forecasts are delivered in minutes, so you can move quickly with confidence and keep your business aligned with real demand.

Not sure what's right for you? We can help.

Ready to accelerate?


Connect with one of our experts to discover how Demand Forecasting can give you the clarity to anticipate consumer demand.

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