How to Fix Amazon Error 90037: Invalid Column Value in Your Product Feed
Error 90037 occurs when a product feed upload contains a column value that doesn't match Amazon's accepted options. Sellers must replace invalid entries with values from the current category template's Valid Values sheet and resubmit.
Overview
Error 90037 is a feed processing error that Amazon returns when a column in your product listing upload contains a value that does not match the accepted options for that field. This is one of the most common flat file upload errors sellers encounter, and it typically prevents the affected listings from being created or updated until the invalid data is corrected.
Key Points / What Sellers Need to Know
- What triggers it — Error 90037 fires when Amazon's system detects that a value in one of your feed columns does not conform to the predefined set of acceptable entries for that field.
- Which fields are affected — The error message identifies the specific column containing the invalid value, making it easier to locate and fix the problem in your file.
- Common culprits — Fields with restricted value sets such as condition type, item type keywords, color maps, size maps, and material type are frequent sources of this error.
- Template mismatch — Using values from an outdated template or a template for a different product category is a leading cause.
- Batch impact — Only the rows containing invalid values will fail; other correctly formatted rows in the same feed should process normally.
What Causes Error 90037
This error occurs during flat file or inventory feed processing when Amazon validates each cell against its allowed data definitions. Every product category template includes specific sheets — typically labeled "Valid Values" and "Data Definitions" — that list exactly which entries Amazon will accept for each column. When a seller enters a value that falls outside these lists, the system rejects that row and returns Error 90037 along with the name of the offending column. Common scenarios include entering free-text where Amazon expects a dropdown-style selection, using values from the wrong category template, or introducing typos and formatting inconsistencies such as extra spaces, incorrect capitalization, or special characters that do not match the expected format.
How to Fix It
Start by noting which column the error message references — this is indicated in the error detail where it states the column name contains an invalid value. Next, open the category-specific flat file template that corresponds to your product type and navigate to the Valid Values tab. Look up the exact accepted entries for the flagged column and compare them against what you submitted. Replace any non-conforming values with an exact match from the valid values list, paying close attention to spelling, spacing, and capitalization. Once you have corrected the entries, save your file and resubmit the feed through Seller Central. It is good practice to download the latest version of your category template before each bulk upload, as Amazon periodically updates accepted values.
Analysis & Recommendations
Why This Matters
Feed errors like 90037 block listings from going live, which can delay product launches and cost sales. Understanding how to quickly diagnose and fix invalid column values keeps your catalog operations running smoothly.
Key Takeaways
- Error 90037 means a column in your feed file contains a value Amazon doesn't recognize for that field
- The error message identifies the specific column so you can locate the problem quickly
- Always cross-reference your entries against the Valid Values tab in the latest category template
- Download a fresh template before each bulk upload since Amazon updates accepted values periodically
Recommended Actions
- →Download the latest flat file template for your product category and verify all restricted fields against the Valid Values sheet before uploading
- →When you receive this error, check the named column for typos, extra spaces, or values copied from the wrong category template
- →Build a pre-upload validation step into your workflow to catch invalid values before submitting feeds
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