How To Fix EDEREG_INV820 - Data for sender &1, recipient &2, document &3 is inconsistent

SAP Error Message - Details

• Message type: E = Error

• Message class: EDEREG_INV - Error Messages for Payment Management in a Deregulated Env.

• Message number: 820

• Message text: Data for sender &1, recipient &2, document &3 is inconsistent

What causes this issue?

The system cannot find a corresponding print document for the entry in
database table DFKKTHI (Transfer Records for Invoice Issue by Third
Party) with document number &V3& and item number &V4&.

System Response

Processing for sender/recipient pair &V1&/&V2& was terminated.

How to fix this error?

INCLUDE NA_SYSADMIN1 OBJECT DOKU ID TX

Procedure for System Administrators

INCLUDE ISU_SAP OBJECT DOKU ID TX

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message EDEREG_INV820 - Data for sender &1, recipient &2, document &3 is inconsistent ?

  The SAP error message EDEREG_INV820 indicates that there is an inconsistency in the data related to a specific sender, recipient, and document. This error typically arises in the context of electronic invoicing or document processing within SAP systems, particularly when dealing with EDI (Electronic Data Interchange) or similar integrations.
  
  Cause:
  The inconsistency can be caused by several factors, including:
  
  Data Mismatch: The sender and recipient information may not match the expected values in the system. This could be due to incorrect master data or configuration settings.
  Document Status: The document referenced may be in an incorrect status (e.g., already processed, canceled, or not yet created).
  Missing Information: Required fields or data elements may be missing or incorrectly populated in the document.
  
  Configuration Issues: There may be issues with the configuration of the EDI settings or the mapping of data between systems.
  Versioning Issues: Different versions of documents or standards may lead to inconsistencies in the expected data