Amazon Error: 99002 Error 99002: An EAN/UPC value in scientific notation is not allowed external_product_id_type = "UPC", external_product_id = "4,01201E+12"

The "Error 99001: A value is required for the department field" occurs when a required value for the department attribute is missing from the product listing on Amazon.
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Error 99002: An EAN/UPC value in scientific notation is not allowed external_product_id_type = "UPC", external_product_id = "4,01201E+12"

Error Description

The "Error 99001: A value is required for the department field" error indicates that the product listing is missing a value for the department attribute, which is necessary for categorizing the product correctly within Amazon’s catalog. The department attribute helps in organizing products into appropriate categories, aiding customers in finding items more easily.

Common Causes:

  1. Omission of Required Field: The department field was not filled out during the listing creation.
  2. Incorrect Template Usage: Using a template that does not include the department field.
  3. Data Entry Errors: Accidental omission or deletion of the department field value.

Error Solution

To resolve the "Error 99001: A value is required for the department field," follow these steps:

  1. Identify the Missing Field:
    • Review the error message details in Amazon Seller Central to identify the specific SKU and confirm that the department field is missing.
  2. Verify Required Attributes:
    • Refer to Amazon’s guidelines to determine the appropriate value for the department attribute based on the product category.
  3. Add the Required Value:
    • Access your inventory file or the specific product listing.
    • Add a suitable value for the department field that accurately represents the product.

Example Corrections:

  • Before: { "sku": "B00123", "product_name": "Cool T-Shirt", "department": "" }
  • After: { "sku": "B00123", "product_name": "Cool T-Shirt", "department": "Men's Clothing" }
  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 added department attribute.
    • 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 all required fields, including the department attribute, are always filled out.
    • Use automated tools to validate and verify the completeness of product data before submitting listings.
  5. Educate Your Team:
    • Train your team on Amazon’s requirements for product attributes and the importance of providing complete information.
    • Provide guidelines and resources to help them stay updated with Amazon’s requirements.

Pro Tip

Advanced Strategies for Managing Required Attributes on Amazon

  1. Develop a Comprehensive Data Management System:
    • Implement a robust data management system to centralize and manage all product information, including required attributes like department. 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 missing required fields.
  2. Create Standard Operating Procedures (SOPs):
    • Develop and document SOPs for entering and managing product data. These procedures should include steps for verifying required attributes, 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 required attributes and the importance of providing complete information. Ensure they understand the impact of missing attributes 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 required attributes. 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 missing required attributes.
  9. Stay Updated with Amazon’s Policies:
    • Regularly review Amazon’s policies and guidelines regarding product listings and required 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 required 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 required attributes, minimize the risk of "Error 99001: A value is required for the department 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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