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