The following steps describe the process used by many modeling nodes, such as Auto-forecasting and Hierarchical Forecasting, that are based on standard time seriesan aggregation of transactional data into specified time intervals and sorted according to unique combinations of the default attributes (BY variables) procedures, like PROC TSMODEL. Modeling nodes based on machine learning procedures, such as Panel Series Neural Network, share similar steps, but do not follow this process in general.