Amazon Error: 99027 Error 99027: The value specified for the null (del-tasche-01) field cannot be the same as the value for the null (del-tasche-01) field

The "Error 99027: The value specified for the null (del-tasche-01) field cannot be the same as the value for the null (del-tasche-01) field" occurs when there is a conflict or redundancy in the values specified for a particular field in the product listing, likely due to a data entry or template issue.
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Error 99027: The value specified for the null (del-tasche-01) field cannot be the same as the value for the null (del-tasche-01) field

Error Description

The "Error 99027: The value specified for the null (del-tasche-01) field cannot be the same as the value for the null (del-tasche-01) field" error indicates that there is a logical conflict in the product data where a field value is redundantly or incorrectly specified. This error often arises from improper data entry, incorrect template usage, or misunderstandings in how to properly format and enter product data.

Common Causes:

  1. Duplicate Entries: Entering the same value in a field multiple times where it should be unique.
  2. Incorrect Template Usage: Using a template that incorrectly specifies or duplicates fields.
  3. Data Entry Errors: Manual errors during data entry leading to conflicting values.

Error Solution

To resolve the "Error 99027: The value specified for the null (del-tasche-01) field cannot be the same as the value for the null (del-tasche-01) field," follow these steps:

  1. Identify the Conflicting Values:
    • Review the error message details in Amazon Seller Central to identify the specific SKU and the fields causing the conflict.
  2. Verify Field Requirements:
    • Refer to Amazon’s guidelines to determine the appropriate values for the conflicting fields. Ensure that each field is populated correctly and uniquely if required.
  3. Correct the Conflicting Values:
    • Access your inventory file or the specific product listing.
    • Update the fields to resolve the conflict, ensuring that each field has a unique and appropriate value as required.

Example Corrections:

  • Before: { "sku": "B00123", "del-tasche-01": "value1", "del-tasche-01": "value1" }
  • After: { "sku": "B00123", "del-tasche-01": "value1", "del-tasche-02": "value2" }
  1. Use Amazon’s Templates:
    • Ensure you are using the correct category-specific templates provided by Amazon.
    • These templates help ensure that each attribute, including unique fields, is populated according to Amazon’s requirements without duplication or conflict.
  2. Submit the Corrected Data:
    • Prepare a new inventory file with the corrected values for the conflicting fields.
    • Use Amazon’s bulk upload tools to submit the corrected inventory file.
    • Validate the file before uploading to ensure it meets Amazon’s requirements.
  3. Monitor and Verify Updates:
    • After submission, monitor the status of your SKU updates in Amazon Seller Central.
    • Verify that the error is resolved and that the listing is active without issues.
  4. Implement Data Validation Checks:
    • Integrate data validation checks in your inventory management system to ensure that fields requiring unique values are correctly populated.
    • Use automated tools to validate and verify the correctness of product data before submitting listings.
  5. Educate Your Team:
    • Train your team on Amazon’s requirements for product attributes and the importance of avoiding duplicate or conflicting entries.
    • Provide guidelines and resources to help them stay updated with Amazon’s requirements.

Pro Tip

Advanced Strategies for Managing Product Data Conflicts on Amazon

  1. Develop a Comprehensive Data Management System:
    • Implement a robust data management system to centralize and manage all product information, including attributes that must be unique. Such systems help ensure data accuracy, consistency, and compliance with Amazon's guidelines.
    • Utilize software that integrates with Amazon’s API to automate the synchronization of product data, minimizing the risk of conflicting or redundant values.
  2. Create Standard Operating Procedures (SOPs):
    • Develop and document SOPs for entering and managing product data. These procedures should include steps for verifying unique field values, using the correct templates, and validating data before submission.
    • Regularly update these SOPs to reflect any changes in Amazon’s requirements or your internal processes.
  3. Regular Training and Updates:
    • Provide ongoing training for your team on Amazon’s standards for product attributes and the importance of avoiding conflicting or duplicate values. Ensure they understand the impact of such errors on listing visibility and performance.
    • Keep your team informed about any updates or changes in Amazon’s guidelines through regular briefings or training sessions.
  4. Conduct Periodic Data Audits:
    • Schedule regular audits of your product listings to ensure compliance with Amazon’s attribute requirements. Use audit reports to identify and correct any discrepancies.
    • Implement corrective actions based on audit findings to prevent recurring issues.
  5. Utilize Amazon’s Tools and Resources:
    • Take advantage of the tools and resources provided by Amazon, such as inventory templates and validation tools, to ensure your product data is complete and compliant.
    • Use Amazon’s Seller Central support and forums to stay informed about best practices and common issues faced by other sellers.
  6. Engage with the Seller Community:
    • Participate in Amazon seller forums and communities to share experiences and learn from other sellers. Engage in discussions about data management and compliance to gain insights and best practices.
    • Attend webinars, workshops, and events hosted by Amazon or industry experts to enhance your understanding and skills.
  7. Monitor Product Performance Metrics:
    • Regularly monitor the performance metrics of your listings to identify any potential issues related to conflicting or duplicate values. Use performance reports to track the impact of accurate data management on sales and visibility.
    • Address any performance issues promptly to maintain compliance and optimize your listings.
  8. Implement Automated Solutions:
    • Consider implementing automated solutions or software that can assist in managing product data. These tools can help validate data, automate updates, and integrate with your inventory management system.
    • Evaluate the benefits of such solutions to determine if they can enhance your data management processes and reduce the risk of conflicting or redundant values.
  9. Stay Updated with Amazon’s Policies:
    • Regularly review Amazon’s policies and guidelines regarding product listings and attributes. Stay informed about any changes or updates that may affect your listings.
    • Subscribe to Amazon’s newsletters and follow their seller blogs to receive the latest information and updates.
  10. Professional Consultation:
    • If you face ongoing challenges with managing unique product attributes, consider seeking professional consultation from experts specializing in Amazon compliance and data management.
    • Professional consultants can provide tailored advice, help navigate complex issues, and improve your overall data management practices.

By adopting these advanced strategies, sellers can effectively manage unique product attributes, minimize the risk of "Error 99027: The value specified for the null (del-tasche-01) field cannot be the same as the value for the null (del-tasche-01) field," and ensure accurate and compliant product listings on Amazon. Proper data management not only prevents errors but also enhances the visibility, searchability, and overall performance of your products on the platform.

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