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Amazon Customized FBA Return Grading: A Seller Setup Guide

A concise guide to customized grading rules, evidence-based criteria, and controlled pilots for FBA Grade and Resell.

MN

Muhammed Nasser

October 30, 2026
 Amazon Customized FBA Return Grading: A Seller Setup Guide

Amazon lets eligible sellers provide customized guidance for returned inventory processed through Grade and Resell. The feature can encode product knowledge, but Amazon's standard grading process still applies. That makes objective criteria and measured pilots more useful than broad assumptions.

What Amazon Customized Grading Changes

What Amazon Customized Grading Changes

Sellers can provide guidance about seals and packaging, included accessories, authenticity, device capabilities, and other requirements. Amazon says rules can cover specific ASINs, all ASINs, or a bulk CSV.

ASINs without customized guidance use Amazon's default criteria. Customized guidance supplements Amazon's process; it does not guarantee a grade or disposition.

Write Evidence-Based Grading Criteria

Write Evidence-Based Grading Criteria

Describe observable conditions an independent operator can apply consistently. Identify the item, exact component or capability to inspect, acceptable and unacceptable states, intended recovery treatment, supporting product evidence, and review owner.

Amazon says only one rule can exist per category for an ASIN and a new rule replaces the existing one. Preserve prior wording and effective dates outside the live rule.

Launch With a Controlled Pilot

Launch With a Controlled Pilot

Amazon directs sellers to Settings, Orders, Recovery, then Customized grading. Start with a small ASIN cohort, save the baseline, check for category conflicts, define the intended Restore to New or Sell as Used treatment, and assign an exception owner.

Measure observed recovery and downstream customer signals while accounting for product mix, return reasons, seasonality, pricing, and Amazon's standard grading process.

FAQ

Conclusion

Customized grading should be governed as an operational rule set: use observable evidence, protect version history, pilot narrowly, and audit results without assuming seller guidance controls every outcome.

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