Excel exports, case-ready
Every reconciliation view exports with its filters applied, so you can attach the exact rows behind a claim rather than a screenshot and an assertion.
Amazon reimburses a great deal of what it loses and damages — but not all of it, not always in full, and never with a summary of what it missed. Unilytic reconciles what was refunded against what came back, and what Amazon paid against what it should have paid, so you can see the money that is genuinely still owed.
A single "money lost" figure is not actionable, because each kind of loss is chased differently. Unilytic splits reconciliation into five views: units you refunded a customer for that never physically came back; seller-fulfilled returns with the same problem; units damaged while in Amazon's custody; the reimbursements Amazon has actually issued; and the SKUs where the economics mean a return is not worth pursuing at all. Each one filters, sorts and exports independently.
This is the part almost nobody checks. When Amazon reimburses a unit it should cover what you would have netted on it — the price, less Amazon's fees, less product tax. Unilytic computes that expected figure per line and compares it with what actually landed. Where the payment falls short, the difference is the shortfall, and it is money you can still ask for. Crucially, SKUs that would not have made money anyway are excluded from the flag: there is no shortfall on a unit that was never going to be profitable, and pretending otherwise would just waste your time.
Captured from a live Unilytic workspace — not a mockup, and not a roadmap promise.

Unilytic does not file claims on your behalf — Amazon requires that to come from you. What it does is make the case, with the numbers attached.
Every reconciliation view exports with its filters applied, so you can attach the exact rows behind a claim rather than a screenshot and an assertion.
A returns analytics dashboard charts loss, recovery and their direction over time, broken down by the dimension you care about — so you can tell a bad month from a worsening pattern.
Outstanding amounts are bucketed by age, so the claims closest to falling outside Amazon's window are the ones you see first. A claim you file late is worth exactly nothing.
No individual discrepancy here is dramatic. A unit refunded in March that never came back. Four units damaged at a fulfilment centre and reimbursed at a little under what they were worth. A seller-fulfilled return that a customer was credited for and never posted. Each is small enough to ignore and none of them will ever be pointed out to you. But they occur continuously, across every SKU and every fulfilment centre, and they compound — while the claim windows quietly expire in the background. The work is not filing the claim; it is knowing which claim to file.
Unilytic reconciles your returns and reimbursement data into five views: refunded-but-not-received units, seller-fulfilled returns with the same gap, units damaged at a fulfilment centre, the reimbursements Amazon has issued, and loss-making SKUs. It computes what each line should have been worth to you and shows where the money is genuinely outstanding.
No, and it is worth being clear about that. Amazon requires claims to be raised from your own seller account. Unilytic's job is to find the cases worth raising and hand you the line-level evidence — the SKU, the quantity, the dates, the expected value and what was actually paid — so filing is quick and the claim is well-founded.
It computes the expected reimbursement for the line — listing price, less Amazon's fees, less product tax, multiplied by the quantity — and compares it with the total Amazon actually paid. Where the payment falls materially short, the difference is flagged as a shortfall. SKUs that would not have been profitable are deliberately excluded, because there is no genuine shortfall on a unit that was never going to make money.
A running total of the amount lost is shown across the reconciliation views, and outstanding amounts are also bucketed by age so you can see how much is still comfortably inside Amazon's claim window and how much is close to expiring.
Yes. A dedicated returns analytics dashboard charts loss, recovery and their trend over time, with drill-down by dimension and both chart and row exports.
Yes. Seller-fulfilled returns have their own reconciliation view, because a customer being refunded without returning the unit is just as much a loss when you shipped it yourself.
Scan returned units in, grade them and photograph the damage that supports a claim.
Capture the evidence AutomationThe nightly returns and reimbursement feed that keeps this reconciliation current.
Keep it current AnalyticsThe demand and margin picture that decides which SKUs are worth chasing at all.
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