Amazon's Rules for Reimbursement Services: What Providers May and May Not Do

The rule that governs this entire category, in Amazon's own words

Amazon's FBA inventory reimbursement policy states: “Our policies prohibit any activity that would interfere with our capacity to help other sellers. Examples of such activities include submitting insufficiently researched or premature requests, or submitting a large number of requests in a short time. Sellers who repeatedly engage in these activities may receive delayed support on their cases or be subject to monitoring, investigation, and account action.” That one sentence is the compliance boundary for the entire reimbursement-services category, and almost no provider page mentions it. It matters because the account that gets monitored or investigated is the seller's, not the service's — a provider that files aggressively to inflate its own recovery numbers is spending the client's account standing to do it, and the client bears that risk regardless of what the invoice says.

What 'premature' and 'bulk' actually mean in practice

Premature means filing before the eligible window opens — most concretely, a customer-return claim filed before day 60 after the refund, which the policy structurally cannot approve. Bulk means submitting a large volume of cases in a short window rather than filing steadily as genuine losses are confirmed. Both behaviors look, from Amazon's side, identical to a low-quality or speculative filing pattern — even when every individual claim underneath is legitimate. A service optimizing for speed of recovery, rather than for the account's standing, has a structural incentive to do both, because filing faster and broader looks like better performance on a monthly report, right up until the account gets flagged.

“Insufficiently researched” is the third leg, and it's the one that's hardest to see from outside. A claim missing the specific shipment or FNSKU identifier, or one that estimates a loss quantity rather than citing Amazon's own inventory-adjustment record, reads as insufficiently researched even if the underlying loss is real. The fix isn't legal caution — it's the same evidence discipline any well-run claim needs anyway, which is part of why the compliant version of this work and the effective version of this work are the same process, not a tradeoff between the two.

The valuation and reversal rules a compliant provider has to work inside

Two more rules bound what a legitimate claim can even ask for. Pre-order losses reimburse at documented sourcing cost, not sale price, since 31 March 2025 — a provider inflating or estimating a cost figure to raise a claim's value is submitting a document that risks Amazon's own language about “forged, tampered with, or illegible” paperwork. And Amazon reserves the right to reverse any reimbursement later found to be paid in error, which means a service reporting recovery numbers without accounting for reversals is either being imprecise or actively inflating its own track record — the two aren't mutually exclusive, and either one should make a seller ask for the net figure specifically.

The Agent Policy: what applies if a provider automates filing

Amazon's Agent Policy sets rules for any software agent interacting with its services: it must identify itself as an agent in its user-agent string, must not mimic human interaction patterns, must not complete or circumvent CAPTCHAs, must answer truthfully if asked whether it's a computer, and must not circumvent measures that control automated access. A reimbursement provider marketing “AI files your claims automatically” without disclosing that automation to Amazon is on the wrong side of this policy — and because the claims are filed under the seller's account, the seller is the one exposed if that automation gets flagged, not the vendor selling it.

Questions worth asking any provider before signing, including us

Four questions surface most of what matters here, and a provider that can't answer them plainly is telling you something: Does your process ever file before a claim window technically opens? How do you cap the volume of simultaneous filings on one account? If any part of filing is automated, does it identify itself per Amazon's Agent Policy, and does a human review anything before it's submitted? And do your recovery figures net out reversals, or report gross? None of these are hostile questions — they're the same standard a careful in-house process should hold itself to, and a provider confident in its own compliance will answer without hesitation.

What to do if a provider's filing pattern has already put an account at risk

If Seller Support has flagged unusual filing volume or a case has come back citing policy language about repeated or premature requests, the first move is stopping all new filings immediately, not filing more to compensate. Request a full case history from the provider — every claim filed, its window, and its outcome — and audit it against the policy language above. If a pattern of premature or duplicate filing shows up, that's the root cause to fix before any new claim goes in, and it's worth having that conversation directly with whoever is filing on your behalf, whether that's an internal team or a vendor.

Eligibility itself is worth checking too — the policy is explicit that an account needs to be in normal status both when a claim is filed and while it's under review. A pending performance notification or a policy warning elsewhere in the account can hold up an otherwise well-evidenced case, which is one more reason account-health standing and reimbursement recovery are more connected than the category's pricing structure suggests.

Why this is the compliance argument, not a marketing one

Full Circle has managed more than $500M in Amazon spend across 100+ brands, and every case Dr. Shield files follows the discipline this policy actually describes: one case ID per loss, filed once inside its window, with evidence attached, net of reversals in every reported figure, and any automation disclosed per Amazon's own Agent Policy with a human approving anything that touches a claim. Amazon decides every case; we argue them well, and we never promise an outcome — priced on the call, as a contingency, because a recovery service that risks the account it's paid to protect is a bad trade at any rate.