Retrnly analyzes your return reasons, customer reviews, and support tickets to build an exact fix-it roadmap for your products — so you stop losing 15–30% of revenue to avoidable returns.
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Update size chart sleeve length measurements +2 inches and re-shoot hero image in natural lighting. Estimated impact: -8% returns.
"It's not that your products are bad. It's that you don't have visibility into the specific, fixable details that are triggering returns — yet."
Most stores treat returns as logistics, not data. The real reason customers send things back — wrong sizing, misleading product photos, quality gaps — stays buried in a spreadsheet.
Without a clear signal, you reorder the same SKUs, run ads to the same listings, and watch the same return rates eat your margins month after month.
You tweak a photo here, update a description there — but you don't know if it moved the needle. Returns feel random because you have no system.
The shift from reactive logistics to proactive product improvement.
You open your dashboard on Monday morning and see: '34% of returns this month mentioned the chest measurement running small on SKU #1047.' You update the size chart. You reshoot the fit photo. Next month, that SKU's return rate drops by half.
Every return that comes in feeds your improvement engine. Your product listings get sharper. Your size guides get more accurate. Your photos actually match what arrives at the door. Customers stop returning — because they stop being surprised.
Return logistics cost you 20–30% of the product's value. You're not just losing the sale — you're paying to ship it back, inspect it, restock it. When you fix the root cause, you don't just recover one return. You prevent hundreds.
"There's a reason Amazon dominates returns management — they treat every return as a product data point, not a cost center. Retrnly gives your store the same intelligence, without the $50M engineering team."
Connect your Store. Retrnly pulls your return reasons, customer reviews, and support ticket themes automatically.
Our AI clusters patterns across thousands of data points — finding the exact sizing gaps, photo mismatches, and quality complaints your customers keep flagging in different words.
You get a prioritized fix-it roadmap: which products to update first, what specifically to change, and a projected return rate reduction for each fix.
Calculate how much revenue you could recover by optimizing your products.
If you reduce returns from 20% → 15%
Monthly savings
$2,500
Annual savings
$30,000
Based on reducing ~21 returns/month at $120 avg. order value
These are estimates based on the numbers you enter. Your actual results depend on which fixes you implement.