E-commerce & DTC Brands · Scenario 31

Fashion & Apparel Store

A third of the clothes ship back, and every return eats the margin the sale made. We predict which orders and SKUs come back and fix the sizing and merchandising that cause it.

Method · Returns-prediction modelling

The situation

For an online apparel brand, returns are the silent margin killer: a 30–40% return rate means shipping both ways, restocking, and often writing off worn or out-of-season items — on sales the P&L already counted as won. Most stores treat returns as a cost of doing business and never look at the pattern.

Nobody has tied returns back to the SKUs, sizes and customer behaviours that drive them, so the same fit problems and over-promising product pages keep generating the same expensive returns, season after season.

34%
orders returned
Margin killer
returns eat the sale
Cost of business
how returns are treated
No model
of what comes back

Where we dig for the truth

We model which orders, SKUs and customers are most likely to return, and why — then fix the sizing, content and merchandising behind it.

Order & return historyReturn reasons & SKUsSize & fit dataProduct-page contentCustomer purchase patternsMargin per SKU
Return rate by product categoryShare of units sent back0%12%25%37%50%42%Dresses38%Trousers24%Knitwear29%Footwear9%Accessories

Fit-sensitive categories like dresses and trousers drive most returns. A model flags the specific SKUs and size gaps behind them — the cheapest margin to recover.

Our approach — Returns Prediction & Fit Analytics

We build a returns-prediction model from order, size and content data to identify the SKUs and size ranges that drive returns, then fix the causes: better size charts and fit guidance, honest product imagery, flagged frequently-returned items, and incentives toward keep-rate behaviours.

High-return SKUs are re-merchandised or re-described, and customers with extreme return patterns are handled differently — turning a blanket cost into a targeted, shrinking one.

From accepting returns to predicting them1Map the returnsTie every return to itsSKU, size, reason andcustomer.2Model the riskPredict which ordersand SKUs are mostlikely to come back.3Fix the causesCorrect sizing, imageryand content behind theworst offenders.4Nudge keep-rateSteer customers towardthe behaviours thathold.
Monthly returns costAfter the prediction + fix program$0k$25k$51k$76k$101kM1M2M3M4M5M6S&I starts

Fixing the SKUs and sizes the model flags steadily lowers the returns bill — margin that was shipped back and forth now stays in the business.

What changes

Same catalogue, fewer returns. Representative for a mid-size online apparel brand.

Representative 90-day movementReturn rate34%23%▼ -11 ptsReturns cost / mo$88k$55k▼ -38%Net margin18%27%▲ +9 ptsContribution / order$11$18▲ +64%
Where the recovered margin comes from+$33kmonthly marginBetter sizing & fit guidance40%Re-merchandised high-return SKUs34%Keep-rate nudges26%
Why this is not "social media management"
We didn't grow this brand with more ads on top of a leaking bucket. We found the returns quietly eating every sale's margin and predicted and prevented them. Returns analytics is unglamorous and exactly where DTC profit hides.

Frequently asked questions

How do you reduce returns for an online clothing store?
We build a returns-prediction model that flags the SKUs, sizes and orders most likely to come back, then fix the causes — better size charts and fit guidance, honest imagery, re-merchandised high-return items. The return rate falls and the margin stays in the business.
Why are returns such a big deal in apparel e-commerce?
A 30–40% return rate means paying shipping both ways, restocking and often writing off items, on sales you already counted as won. Returns quietly erase the margin every sale made, so cutting them is some of the cheapest profit available.
Isn't this just about more sales?
More sales on top of a high return rate just multiply the losses. We fix the leak first — predicting and preventing the returns. Book a marketing audit.

Want this run on your numbers?

Send your order and returns data and we’ll show you which products are shipping back.

Book a marketing audit
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