Overview

Amazon sellers who manage product listings through feeds or Seller Central may encounter Error 100405 when attempting to update product attributes. This error occurs when Amazon's catalog system determines that a proposed change to a listing attribute is not meaningfully different from the existing value. Understanding why this happens and how to resolve it can save sellers significant time and frustration when managing their product catalog.

Key Points / What Sellers Need to Know

• Attribute suppression is automatic — Amazon's system compares your proposed attribute value against the current listing data and blocks changes it considers trivial or redundant.
• Minor formatting changes are rejected — Simply adjusting punctuation, spacing, capitalization, or rewording content without adding substance will trigger this error.
• Synonym swaps don't qualify as updates — Changing "100% cotton" to "100 percent cotton" is a common example of a change Amazon considers immaterial and will suppress.
• The error applies to feed-based and manual submissions — Whether you're updating listings via flat files, the SP-API, or directly in Seller Central, the same validation logic applies.
• Suppressed changes are silently dropped — The attribute value you submitted is not saved. Your listing retains its previous content unless you submit a version that meets Amazon's threshold for a meaningful update.

How Error 100405 Works

When you submit an update to a product attribute, Amazon's catalog system runs a comparison between your proposed value and the value currently stored on the item. If the system determines that the two values are not "materially different," it suppresses the update and returns Error 100405. This means your change is effectively discarded without being applied to the live listing. The error message will reference the specific attribute that was flagged, helping you identify which field needs a more substantial revision. This validation exists to maintain catalog quality and prevent unnecessary churn in product data that could affect search indexing and the customer experience.

Common Triggers and Examples