If your warehouse is spending more time processing returns than sending out orders, you've got a profit-eating monster living in your supply chain.
I see it all the time. A brand celebrates a sell-out launch on Shopify, then watches 40% of that revenue crawl back into the warehouse two weeks later, smelling like someone's Saturday night out.
Crossing your fingers isn't a returns strategy. If your jeans are selling but a suspicious number of them keep coming back, we need to work out why.
The £20 round trip
Here's a number that should make every brand owner feel slightly unwell. nShift, a returns management company, estimated in 2022 that it costs a retailer around £20 to process a single online return.
Your actual cost will depend on your business, your warehouse, your shipping setup and whether the jeans can be resold. But the point stands: returns aren't free.
By the time you've paid for the reverse shipping, someone to check it, the steaming, the repackaging and the time that pair sits in limbo instead of being available to buy, you haven't just lost the profit. You've paid for the privilege of letting a stranger try on your jeans.
If your average order is £80 and it costs you £20 to bring it back, that's a quarter of the sale gone before you've even worked out what went wrong.
Your returns are probably trying to tell you something
Don't get me wrong, some returns are inevitable. People send things back because they don't suit them, or they order two sizes because they don't know your brand yet.
But when returns start spiralling, I want to know whether there's a pattern.
Are certain sizes coming back more than others?
Is the same fit complaint coming up again and again?
Is one wash doing worse than another?
Did something change after a new production run?
Are customers complaining about quality?
Once your returns form a pattern, they stop being random customer behaviour and start being really useful technical data. I tend to look at them from two angles: quality and fit.
1. Is it a quality issue?
Is the denim not performing? Is the construction not up to the job? Has something changed between the jeans you approved and the jeans that went into bulk?
I once sealed some bleach wash jeans. They were great. We'd done a wearer trial, I was happy, and they passed every test report.
Soon after bulk shipped, returns went absolutely mental. That brand usually had around a 5% return rate. These jeans were sitting at 40%.
I had a rummage through the returns pile and it was instantly clear something had gone catastrophically wrong in production. Belt loops ripped off, back pockets hanging by a thread, and you could literally pull the denim apart with your hands.
Not ideal.
The denim had been fried in the bulk wash. Whether it was the chemistry, the heat, the processing time or a combination of all three, something had damaged the fabric. Bulk was no longer behaving like the jeans we'd approved, and they were completely unsellable.
Who wants to be the brand whose jeans fall apart in the pub?
This is exactly why bulk quality control matters. A pre-shipment inspection using an agreed AQL sampling plan checks a sample of the finished production against your approved standards before it leaves the factory. It doesn't guarantee every single garment is perfect, but it gives you a structured way of deciding whether the order is OK to ship.
Which is a lot better than letting your customers do the quality inspection for you.
2. Is it a fit and grading issue?
If the feedback is about fit, you have to be a bit of a detective.
The first thing I want to know is what customers actually mean by "doesn't fit". Too small? Too big? Where? Is the waist gaping? Is the thigh too tight? Is the front rise uncomfortable? Is there loads of fabric sitting under the bum? Does the leg look nothing like the product photo?
"Didn't fit" is useful. "The waist is massive but I couldn't get them over my thighs" is much more useful.
Then I start digging.
The ratio check
If most of your customers are a size 16 and you sell more 16s than anything else, you'd expect more 16s to come back. That's why looking at the total number of returns by size can be misleading.
What you need is the percentage of each size sold that comes back.
If you sold 1,000 size 16s and 100 came back, that's a 10% return rate. If you sold 100 size 8s and 30 came back, that's 30%.
Now we've got something interesting.
If certain sizes have a much higher return rate than the rest of your range, that's a big flashing neon arrow pointing at your grading.
Maybe your sample size fits beautifully. Maybe you spent months perfecting that size 10. But if it's been graded all the way to a 24 without properly considering how the waist, hip, rise and thigh need to change, your size 24 customer might effectively be getting a completely different pair of jeans.
Bodies are deeply inconsiderate and refuse to get bigger according to a nice simple Excel formula.
The gold seal match
Next question: does bulk actually match what you approved?
And I mean actually match it.
Get out your gold seal sample (the one you signed off for production) and compare it to bulk. Measure it, check the construction, feel the denim, compare the wash and try it on if you can.
Is the waistband behaving the same way?
Has the fabric changed?
Has the wash changed the handfeel?
Have the measurements moved?
Sometimes your fit development was absolutely fine. The problem is that the jeans arriving on your customers' doorsteps aren't the jeans you approved.
The wash check
This one is really important with denim.
Say you've got one jean in three washes. Same pattern, same block, same measurements on paper. The mid blue is performing beautifully, but the black keeps coming back because customers say it's too tight.
That's interesting.
Different denims and different wash processes behave differently. Shrinkage, stretch, recovery and finishing can all change how the final jean fits. So if one wash has a much higher return rate, don't rush to change the pattern. Find out what's happening to the actual product first.
"We used the same pattern" doesn't automatically mean "these jeans fit the same".
The tolerance gap
Your spec says the waist should measure 76cm. Great. But how much variation either side have you told the factory you'll accept?
Making clothes isn't like making Lego. There will always be some variation. Your tolerances need to be realistic for production, but tight enough that two customers ordering the same size don't get two noticeably different pairs of jeans.
Otherwise your Medium can accidentally become a Small-ish-Large.
The fix: stop the bleeding
When I start working with a brand that has high returns, I want any information I can get my hands on:
Returns reports: by size, by wash, and by production run if you have it
Sales by size
Customer reviews, emails, DMs and customer service complaints
Fit comments from development
It really helps if you ask customers why they're returning, even if it's just a few options like Too Small, Too Big, Fit, Quality or Don't Like It. You don't need to make someone sit a GCSE before they can send their jeans back. You just need enough to start spotting patterns.
Once we've got the data, we can work out what actually needs fixing. Usually it's one or both of these.
The block and grading overhaul
If your fit is inconsistent across different styles, or every new jean feels like starting from scratch, I want to look at your blocks.
These are your DNA fits, the technical starting points for your brand. You might have a slim block, a relaxed block, different rises, or separate blocks for rigid and stretch denim. They aren't finished designs. They're the foundations you develop new styles from, so you're not rediscovering how your customer is shaped every single season.
Then the grading. Does it actually work for your customer and your size range? Have you physically checked what happens further away from your sample size? If you offer a broad size range, would it be worth fitting another size further up rather than relying entirely on the maths?
Are your pockets still in the right place?
Does the rise still work?
Has your beautiful wide leg stayed a wide leg?
Is your size 20 still recognisably the same jean as your size 10?
It's also the perfect time to sort your tolerances out properly, so future development has a consistent technical foundation.
AQL inspections
Going back to my shredded jeans, I get that this is an added cost. But trust me, you don't want to find out via an angry DM that your whole production run has counterfeit YKK zips, wrong measurements, dodgy stitching or denim that disintegrates on contact with a human body.
(Yes, counterfeit branded zips are a real thing.)
An AQL inspection uses an agreed statistical sampling plan. Rather than checking every single garment, the inspector checks a defined sample of the order against your quality requirements. That can include workmanship, measurements, construction, trims, packaging and whether the product actually matches the approved sample and spec.
It doesn't replace good product development, testing or quality control throughout production. It's your last line of defence before thousands of pairs of jeans get on a boat.
Finding a problem at the factory is annoying. Finding it at your warehouse is expensive. Finding it at your customer's house is a lot worse.
The bottom line
You can have incredible branding, brilliant content, a gorgeous campaign, and spend increasingly upsetting amounts of money getting customers onto your website. But if they don't want to keep the jeans once they arrive, you've got a product problem.
Bringing your return rate down by even a few percentage points can make a big difference to your profit, especially once you add up what you've already spent getting that customer, processing their order and then processing the return.
Your returns aren't just a depressing number on your Shopify dashboard. If the same sizes, washes, fit complaints or quality issues keep coming back, your customers are running a very large, very expensive wearer trial for you.
You can't market your way out of a bad fit. Listen to them.
If your jeans are selling brilliantly but a suspicious number keep finding their way back home, let's work out why.
Let's fix your fit.