ForecastingSysteme
ForecastingSysteme denotes a class of software platforms designed to produce, validate, and operationalize forecasts across domains. They integrate data pipelines, modeling toolkits, and deployment capabilities to support decision making.
Core components include data ingestion and preprocessing, feature engineering, a library of forecasting models (statistical and
Methodologies supported range from classical time series methods such as ARIMA, SARIMA, exponential smoothing, to machine
Data requirements include historical time series with appropriate temporal resolution, candidate exogenous variables, data quality controls,
Applications span supply chain and demand planning, finance and risk forecasting, energy and utilities, and operations
Challenges involve model drift, data privacy, interpretability, and the need for domain expertise to select appropriate