Amazon Error: 90223 Error 90223: Value '__' for 'product_category' is not 'int,decimal,timestamp'

The "Error 90223: Value '__' for 'product_category' is not 'int, decimal, timestamp'" occurs when the provided value for the product_category attribute does not match the expected data types (integer, decimal, or timestamp).
Common Errors
Error 90223: Value '__' for 'product_category' is not 'int,decimal,timestamp'

Error Description

The "Error 90223: Value '__' for 'product_category' is not 'int, decimal, timestamp'" error indicates that the value entered for the

product_category attribute is not in the correct format or data type expected by Amazon. The product_category attribute should conform to specific data type requirements, such as an integer, decimal, or timestamp, depending on the context.

Common Causes:

  1. Incorrect Data Type: The value is not in the correct data type (integer, decimal, or timestamp).
  2. Formatting Issues: The value may include extraneous spaces or characters.
  3. Misunderstanding Requirements: Not adhering to Amazon’s specific guidelines for the attribute’s data type.

Error Solution

To resolve the "Error 90223: Value '__' for 'product_category' is not 'int, decimal, timestamp'," follow these steps:

  1. Identify the Invalid Attribute Value:
    • Review the error message details in Amazon Seller Central to identify the specific SKU and the value causing the issue.
  2. Verify Attribute Requirements:
    • Refer to Amazon’s guidelines to understand the acceptable data types for the product_category attribute.
    • Ensure you understand whether the attribute should be an integer, decimal, or timestamp.
  3. Correct the Invalid Value:
    • Access your inventory file or the specific product listing.
    • Update the product_category attribute with a value that adheres to Amazon’s data type requirements.

Example Corrections:

  • If the value should be an integer, ensure it is formatted correctly as an integer without spaces or non-numeric characters.
  • Correct any formatting issues, such as trailing spaces.
  1. Use Amazon’s Templates:
    • Ensure you are using the correct category-specific templates provided by Amazon.
    • These templates help ensure that each attribute is populated according to Amazon’s requirements.
  2. Submit the Corrected Data:
    • Prepare a new inventory file with the corrected attribute values.
    • 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 values are in the correct data type and format.
    • 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 attribute values and the importance of using the correct data types.
    • Provide guidelines and resources to help them stay updated with Amazon’s requirements.

Pro Tip

Advanced Strategies for Managing Attribute Data Types on Amazon

  1. Develop a Comprehensive Data Management System:
    • Implement a robust data management system to centralize and manage all product information, including attributes with specific data type requirements. 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 incorrect data types.
  2. Create Standard Operating Procedures (SOPs):
    • Develop and document SOPs for entering and managing product data. These procedures should include steps for verifying data types, 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 attribute data types and the importance of entering valid data. Ensure they understand the impact of incorrect data types 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 data type 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 attribute data types. 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 incorrect data types.
  9. Stay Updated with Amazon’s Policies:
    • Regularly review Amazon’s policies and guidelines regarding product listings and attribute data types. 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 attribute data types, 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 attribute data types, minimize the risk of "Error 90223: Value '__' for 'product_category' is not 'int, decimal, timestamp'," 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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