How To Fix L3470 - No UM load category could be determined for unit of measure &

L3470 - Overview

• Message type: E = Error

• Message class: L3 -

• Message number: 470

• Message text: No UM load category could be determined for unit of measure &

What causes this issue?

When determining the workload parameters for calculating the
<gl:planned_TO_processing_time>planned processing time</>, the system
uses the unit-of-measure load category as an additional characteristic.
This category is assigned to the actual unit of measure. In the present
case, the unit of measure has no unit-of-measure load category assigned
to it.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

Check to see if a unit-of-measure load category is required. If this is
the case, assign it to the corresponding unit of measure.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message L3470 - No UM load category could be determined for unit of measure & ?

  The SAP error message L3470, which states "No UM load category could be determined for unit of measure &," typically occurs in the context of logistics and inventory management when the system is unable to determine the appropriate load category for a given unit of measure (UoM). This can happen during various processes, such as goods movements, inventory management, or when creating delivery documents.
  
  Cause:
  
  Missing Configuration: The most common cause of this error is that the unit of measure (UoM) in question has not been properly configured in the system. Specifically, the load category for that UoM may not have been defined in the relevant settings.
  Incorrect UoM Usage: The UoM being used may not be appropriate for the context in which it is being applied, leading to the system's inability to determine a load category.
  Master Data Issues: There may be issues with the material master data, such as missing or incorrect