Overview

Error 90004207 is a common product listing validation error that Amazon sellers encounter when creating or updating listings through feed files. This error triggers when two related attribute values fail a required numerical comparison — for example, when a cost price exceeds the list price, or when a minimum quantity is set higher than a maximum. Understanding how to diagnose and resolve this error can save sellers significant time and prevent listing delays.

Key Points / What Sellers Need to Know

• Attribute comparison failure — This error fires when Amazon detects that one attribute value should be less than or equal to another, but the submitted data violates that rule.
• Common trigger: pricing fields — The most frequent cause is a cost or wholesale price that exceeds the listed selling price, which Amazon flags as logically inconsistent.
• Threshold-based validation — Amazon doesn't just check whether one value is smaller; it also enforces maximum allowable differences between certain attributes based on the product type.
• Feed file submissions — The error typically surfaces during bulk uploads or feed processing, not during manual listing edits through the Seller Central interface.
• Quick resolution — In most cases, correcting the mismatched values and resubmitting the feed resolves the issue immediately.

Understanding the Error

When Amazon processes a product feed, it runs a series of validation checks on the submitted attribute values. Error 90004207 specifically compares two related fields and evaluates whether their difference falls within an acceptable range. The error message itself identifies the two attributes involved, their current values, the actual difference between them, and the maximum threshold that was exceeded. For instance, if a seller submits a listing where the cost price is set at $126.10 but the list price is only $33.21, Amazon will reject the submission because the cost should logically be lower than or equal to the selling price. This validation exists to protect both sellers and buyers from listings with obviously incorrect pricing data.

Common Causes