ForecastEnsemble

Combine multiple time series forecast models with automatic weight optimization

Data & AnalyticsPaid

ForecastEnsemble creates weighted ensemble forecasts by combining predictions from ARIMA, Prophet, exponential smoothing, and gradient boosting models with weights optimized on recent holdout performance. The tool automatically selects the best-performing subset of models for each time series, adjusts weights as model performance drifts, and produces calibrated prediction intervals from the ensemble. Demand planning and financial forecasting teams use it to achieve forecast accuracy that consistently outperforms any individual model.

Key Features

• ✓Multi-model ensembling
• ✓Automatic weight optimization
• ✓Holdout-based selection
• ✓Calibrated prediction intervals
• ✓Weight drift adaptation