Amazon Error: 90003944 Error 90003944: Based on the data from ''[list_price#?

The "Error 90003944: Based on the data from ''[list_price#?" occurs when there is an issue with the list_price attribute, which is either missing, incorrectly formatted, or contains invalid data.
Common Errors
Error 90003944: Based on the data from ''[list_price#?

Error Description

The "Error 90003944: Based on the data from ''[list_price#?" error indicates a problem with the list_price attribute in the product listing. The list_price is an essential attribute that represents the product's selling price. Amazon requires this information to be correctly formatted and valid to ensure accurate pricing information is displayed to customers.

Common Causes:

  1. Missing List Price: The list_price attribute is not provided.
  2. Incorrect Data Formats: The price is entered in an incorrect format.
  3. Typographical Errors: Mistakes in typing the price value.
  4. Unsupported Values: Using non-numeric values or symbols in the price field.
  5. Data  Entry Errors: Errors during the data entry process.

Error Solution

To resolve the "Error 90003944: Based on the data from ''[list_price#?," follow these steps:

  1. Identify the Issue with List Price:
    • Review the error message details in Amazon Seller Central to identify the specific issue with the list_price attribute.
    • Note the SKU and the provided price value causing the issue.
  2. Verify List Price Requirements:
    • Refer to Amazon’s guidelines for the correct format and accepted values for the list_price attribute.
    • Ensure you understand the specific requirements for the list_price attribute, including the use of numeric values and the correct currency format.
  3. Correct the List Price Attribute:
    • Access your inventory file or the specific product listing.
    • Update the list_price attribute to a valid numeric value in the correct format (e.g., 19.99 for a price of nineteen dollars and ninety-nine cents).
    • Ensure that the price value is correctly formatted and adheres to Amazon’s guidelines.
  4. Use Amazon’s Templates:
    • Ensure you are using the correct category-specific templates provided by Amazon.
    • These templates include all required fields, including the list_price attribute.
  5. Submit the Corrected Data:
    • Prepare a new inventory file with the corrected list_price 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.
  6. 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.
  7. Implement Data Validation Checks:
    • Integrate data validation checks in your inventory management system to prevent future occurrences of this error.
    • Use automated tools to validate and verify the correctness of product data before submitting listings.
  8. Educate Your Team:
    • Train your team on Amazon’s requirements for pricing attributes and how to verify them.
    • Provide guidelines and resources to help them stay updated with Amazon’s requirements.

Pro Tip

Advanced Strategies for Managing Pricing Attributes on Amazon

  1. Develop a Comprehensive Data Management System:
    • Implement a robust data management system to centralize and manage all product information, including pricing attributes. 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 pricing attributes.
  2. Create Standard Operating Procedures (SOPs):
    • Develop and document SOPs for entering and managing product data. These procedures should include steps for verifying pricing 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 pricing attributes and the importance of accurate data entry. Ensure they understand the impact of incorrect pricing 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 pricing 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 pricing 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 incorrect pricing attributes.
  9. Stay Updated with Amazon’s Policies:
    • Regularly review Amazon’s policies and guidelines regarding product listings and pricing 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 pricing 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 pricing attributes, minimize the risk of "Error 90003944: Based on the data from ''[list_price#?," 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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