Forecast Engine applies statistical and ML models to historical time-series data to produce accurate forecasts with prediction intervals. It automatically selects the best model from ARIMA, Prophet, and gradient boosting approaches, handles seasonality, and detects trend changes. Supports multi-step forecasting and scenario planning.
Triggers
forecast this metricpredict future valuesgenerate demand forecastTools
Parameters
data_source-Path to historical time-series data CSVforecast_horizon-Number of periods to forecast (1-365)frequency-Data frequency: daily | weekly | monthlyIndustry
Role
Capability
Use Case
Tech Stack