Save money every month with probabilistic sales forecasting
Avoid stagnant inventory and lost sales. The forecaster analyzes your history and calculates future demand considering trends, seasonality, and holidays.
See the forecaster in action
Real example of sales forecasting. The system automatically detected patterns and projected the next 12 months.
Today's sales
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Total accumulated
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Collected sales history
Your sales history in Excel
You export your daily sales history from any system (ERP, spreadsheet, e-commerce) and organize it into a simple Excel spreadsheet with date and quantity sold.
The platform analyzes trends, seasonality, and generates the forecast:
Forecast for next year
Black dots: sales that have already occurred. Colored line: forecast of what will sell. Shaded area: margin of error (how much it can vary up or down).
What you avoid with accurate forecasts
Stale inventory
Bought too much in January thinking you would sell? Now you have product taking up space and tying up your money until March.
Lost sale
A customer came on Black Friday and there was no product? They bought from the competitor and won’t come back.
Decision in the dark
How many employees to scale in December? How much to buy from the supplier? Without data, you guess and often get it wrong.
How the system makes the prediction
1. Analyzes the trend
Are you growing 5% per month? Stable? Declining? The system identifies and projects this into the future.
2. Detects patterns
Does the weekend sell more? Does December explode? The system learns the cycles and repeats them in the forecast.
3. Adjusts holidays
Black Friday boosts sales, New Year drops. The system knows when this happens and already calculates it in the results.
Make your first forecast now
Upload your sales history and see the forecast in minutes.