StriveFormats
AmazonListing rules

Quantity on an FBA offer

A row with an Amazon fulfillment-center-id (such as AMAZON_NA) also has a quantity.

What is this issue?

A row with an Amazon fulfillment-center-id (such as AMAZON_NA) also has a quantity.

Affected field:quantity

What it looks like in your file

In your file
skuquantity
2MUG-0140
After the fix
skuquantity
2MUG-01(empty)

Upload your CSV to check for this issue and export a clean file.

Fix now

Why Amazon rejects this

Amazon's Inventory Loader guide says not to enter a quantity for products fulfilled by Amazon. Their stock comes from the units the fulfillment center receives, and a quantity in the file switches the SKU to seller-fulfilled.

Amazon-specific note

Amazon's Inventory Loader guide says to leave quantity blank for products fulfilled by Amazon. Their stock is the number of units the fulfillment center receives, and a quantity in the file converts the SKU to seller-fulfilled.

Fix in StriveFormats

Upload your CSV to StriveFormats to detect this issue across all rows, with clear line-by-line reporting.

Fix in Excel

  1. 1Review the quantity column for incorrect values.
  2. 2Fix any cells that do not match the expected format.
  3. 3Save as Text (Tab delimited) (*.txt).

Fix in Google Sheets

  1. 1Review the quantity column for incorrect values.
  2. 2Correct any cells that do not match the expected format.
  3. 3Go to File > Download > Tab Separated Values (.tsv), then rename the file to end in .txt.

Prevent it next time

  1. ✓Start from the official platform template to avoid structural issues.
  2. ✓Run your file through StriveFormats before every import.
  3. ✓Test with a small sample file first to catch errors before they affect your full catalog.

How StriveFormats detects this

StriveFormats parses every row of your CSV and applies Amazon-specific validation rules to the quantity field. Any row that violates the rule is flagged with the row number and the specific value that caused the issue.

►Technical detail
Amazon's importer checks the quantity field against its official import specification. Values in the wrong format are flagged because an invalid value that slips through can show up in your store as a blank field, a zero or wrong text, with no error message.