Five smart algorithms.
One autonomous engine.
Our system automatically understands how each product sells — whether demand is steady, unpredictable, seasonal, or sporadic — and chooses the best forecasting method for it.
No manual setup. No guesswork. Just smarter, more accurate forecasts.
📥 Sales History
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📊 Demand Pattern
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🔍 Smart Testing
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🏆 Best Algorithm
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🛡️ Smart Guardrails
Five powerful forecasting approaches
WMA
Weighted Moving Average
Gives more importance to recent sales. Excellent for products with steady or slightly changing demand.
SBA
Syntetos-Boylan Approximation
Specially designed for products that sell irregularly or have many months with zero sales.
TSD
Time Series Decomposition
Breaks demand into trend and seasonal patterns — perfect for products with clear seasons or growing trends.
H-W
Holt-Winters
Advanced smoothing that handles both trend and strong seasonality at the same time.
ARIMA
ARIMA Trend Model
Great at capturing consistent upward or downward trends in demand.
Built-in intelligence & safeguards
Growth Protection
Smart limits
Prevents unrealistic forecasts that shoot too high or drop too low — keeping plans grounded in reality.
Demand Sensing
Real-time adjustment
Continuously updates the forecast using the latest actual sales to stay responsive.
Ensemble Mode
When needed
If no single method is clearly best, it intelligently combines the top performers.
See the engine run on your data.
// Upload your sales history and get accurate forecasts in minutes