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Message type: E = Error
Message class: /SAPAPO/CONFR_CFGREL -
Message number: 041
Message text: Characteristics-based forecast without orders found for product &1
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/SAPAPO/CONFR_CFGREL041
- Characteristics-based forecast without orders found for product &1 ?The SAP error message
/SAPAPO/CONFR_CFGREL041
indicates that the system is unable to find any historical order data for a specific product when attempting to generate a characteristics-based forecast. This can occur in the Advanced Planning and Optimization (APO) module of SAP, particularly in the context of demand planning.Cause:
- No Historical Orders: The primary reason for this error is that there are no historical sales orders or relevant data available for the specified product. The characteristics-based forecasting method relies on historical data to generate forecasts.
- Incorrect Configuration: The configuration for the characteristics-based forecasting might not be set up correctly, leading to the inability to retrieve the necessary data.
- Data Selection Issues: The selection criteria used for the forecast might be too restrictive, resulting in no data being available for the forecast calculation.
- Product Not Active: The product may not be active in the planning book or may not have been set up correctly in the APO system.
Solution:
- Check Historical Data: Verify that there are historical sales orders or relevant data for the product in question. If there are no orders, consider adding historical data or using a different forecasting method that does not rely on order data.
- Review Configuration: Ensure that the characteristics-based forecasting is configured correctly. Check the settings in the forecasting profile and ensure that the necessary characteristics are defined and linked to the product.
- Adjust Selection Criteria: Review the selection criteria used for the forecast. Make sure that they are not too restrictive and that they include the necessary time periods and characteristics.
- Activate Product: Ensure that the product is active in the planning book and that it is included in the relevant planning area.
- Use Alternative Forecasting Methods: If no historical data is available, consider using alternative forecasting methods such as time series forecasting or statistical forecasting that do not rely on order data.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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