- Provides forecasting for time series data. For example can be used for predicting retail demand, supply chain, staffing levels, energy requirements, server capacity and web traffic
- For any type of time-series data where we have a large amount of historical data, Forecast can be used to provide the ability to forecast future trends and events
- In order to accomplish this forecasting we have to import historical data and other related data. Related data includes extra contextual information (example promotions running when an item was sold)
- The output of Forecast will be a forecast and forecast explainability. The explainability allows to understand the reasons behind the forecasted data