How To Fix ICL_POL004 - No valid generation found for benefit type tree &1 and date &2


ICL_POL004 - Overview

  • Message type: E = Error

  • Message class: ICL_POL - Messages for Policy Snapshot, Policy, and ...

  • Message number: 004

  • Message text: No valid generation found for benefit type tree &1 and date &2

  • Show details Hide details
  • What causes this issue?

    Date &v2& on which the contract was renewed for the last time before the
    <DS:GLOS.1DD99600306E0F4EAB57009EA9845C62>claim event</>, is not in the
    validity period of the <DS:DE.ICL_BENTREE>benefit type tree</> &v1&.

    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?

    Procedure for System Administrators

    In customizing create a new generation of the benefit type tree that
    covers the renewal date of the contract.
    INCLUDE ICL_MESSAGE_CUST 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 ICL_POL004 - No valid generation found for benefit type tree &1 and date &2 ?
    The SAP error message ICL_POL004 indicates that there is no valid generation found for a specific benefit type tree and date in the context of insurance claims processing. This error typically arises in the SAP Claims Management module when the system is unable to find the necessary configuration or data for processing a claim related to a specific benefit type.
    
    Cause: Missing Configuration: The benefit type tree may not be properly configured in the system for the specified date. This could be due to missing entries in the benefit type tree or incorrect settings. Date Issues: The date specified in the error message may fall outside the valid range for the benefit type tree. For example, if the benefit type tree is only valid for certain periods, and the date provided does not fall within that range, the error will occur. Data Inconsistencies: There may be inconsistencies or missing data in the master data

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