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Message type: E = Error
Message class: /SAPAPO/PR -
Message number: 410
Message text: Insufficient historical values available for model choice
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/SAPAPO/PR410
- Insufficient historical values available for model choice ?The SAP error message
/SAPAPO/PR410 Insufficient historical values available for model choice
typically occurs in the context of SAP Advanced Planning and Optimization (APO), particularly when working with demand planning or forecasting models. This error indicates that the system does not have enough historical data to perform the required calculations for the selected forecasting model.Cause:
Insufficient Historical Data: The primary cause of this error is that there is not enough historical data available for the specific product or location to generate a forecast. This can happen if:
- The product is new and has not been sold previously.
- Historical data has been deleted or is missing.
- The time period selected for forecasting does not have enough data points.
Model Configuration: The selected forecasting model may require a certain amount of historical data to function correctly. If the data does not meet the minimum requirements, this error will be triggered.
Data Quality Issues: There may be issues with the quality of the historical data, such as missing values or incorrect entries, which can prevent the model from being able to use the data effectively.
Solution:
Check Historical Data: Verify that there is sufficient historical data for the product/location in question. You can do this by reviewing the historical sales data in the relevant InfoProvider or data source.
Adjust Forecasting Model: If the selected model requires more historical data than is available, consider switching to a different forecasting model that requires less data or is more suitable for new products (e.g., a simple average model).
Data Collection: If the product is new, consider collecting more data over time before attempting to generate a forecast. You may also want to use a different time frame that includes more historical data.
Data Quality Check: Ensure that the historical data is complete and accurate. Address any data quality issues, such as missing values or incorrect entries.
Use Alternative Forecasting Techniques: If traditional forecasting methods are not applicable due to insufficient data, consider using alternative techniques such as:
- Qualitative forecasting methods (e.g., expert judgment).
- Time series analysis with different parameters.
Consult Documentation: Review SAP documentation or help resources for specific guidelines on the forecasting models and their data requirements.
Related Information:
By addressing the underlying causes of the error and ensuring that sufficient and quality historical data is available, you can resolve the /SAPAPO/PR410
error and successfully generate forecasts.
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