The model time series contain the demand modeling results for specific combinations of product / location / sales organization / distribution channel / order channel / day for the specified time period.
Note
Demand modeling is a prerequisite for demand forecasting. Before objects (such as products and locations) can be considered for a forecast, they must first have been modeled.
Demand modeling can generate the following time series:
UDF model time series (/DMF/UMD_TS
table)
Decomposition values for the UDF model time series (/DMF/UMD_TSD
table)
Caution
The demand decomposition can create a large data set based on your business scope, and the original hardware sizing needs to be taken into account. For more information, see the sizing guidelines for SAP Customer Activity Repository at
.For more information on both time series and how to generate them, see the documentation of the following Customizing activity (transaction SPRO):
Note
Demand modeling can generate the following related results (for more information, see Unified Demand Forecast):
Parameter estimates (/DMF/UMD_PAR
table)
Hierarchical priors (/DMF/UMD_PRI
table)
The model time series are generated based on the master data and historical demand data that you provide as input. For more information, see Master Data and Time Series.
How to run the modeling service: Schedule Model and Forecast