How AIMAN Fashion Cut Returns by 40% by Showing Menswear on the Customer

Almost every menswear item sold online is sold on a picture of it lying flat, or worn by a model who is not the person holding the phone. The shopper is asked to do the hard part themselves: look at a shirt on a white background and imagine it on their own shoulders. AIMAN Fashion stopped asking. The store now lets customers see the outfit on themselves before they order, and reports that four in every ten returns it used to handle no longer happen.

40%

Reduction in returnsSince enabling virtual try-on

10%

Lift in revenueAcross online sales

Figures reported by AIMAN Fashion and published with the store's permission. They are this store's results, not a platform average or a projection.

The question that stops a menswear sale

A physical menswear shop answers one question better than any website: will this look right on me? A customer holds the shirt up, steps into the changing room, sees the drape across their own frame, and decides. It takes a minute and it settles the matter.

Online, that minute has nowhere to happen. The product page offers a flat-lay, a size chart and a hope. So the shopper does one of three things — leaves, buys nothing, or buys two sizes intending to send one back. The first two cost the sale outright. The third costs it later, in a return, and takes the margin with it.

This is the gap virtual try-on closes: not better photography, but the missing changing room. For the mechanics of how it works from an ordinary catalogue photo, see What Is AI Virtual Try-On?

What AIMAN Fashion changed

The change was narrow and it was upstream of everything else: instead of showing the garment, the store started showing the garment worn by the customer. A shopper supplies a photo of themselves, FashClick places the item on them photorealistically, and the decision that used to require imagination becomes a decision about something they can actually see.

Nothing about the catalogue changed to make that possible. No re-shoot, no 3D models, no new size guide, no rebuild of the product pages. The try-on runs on the product images that were already there.

It ran on the catalogue they already had

This is the part most store owners do not believe until they run one of their own products through it. FashClick generates the on-model result from a flat product photo — the same image already sitting on the product page. A clean, front-facing shot gives the most reliable result, which most catalogues already have because it is the shot that sells.

The practical consequence for a store the size of AIMAN Fashion is that there is no project to fund before there is a result to judge. No studio day, no model booking, no agency retainer standing between the idea and the first render. That is why the number in FashClick's own stat line is zero new photos needed: the whole approach falls apart commercially for smaller stores if it does not work from what they have.

In their words

“At AIMAN Fashion, customers can see how an outfit looks on them before ordering. It has made buyers far more confident, cut our returns, and given a real boost to our online sales.”

Mohd. Azam — Owner, AIMAN Fashion

Three outcomes, in one sentence, and they are in a deliberate order. Confidence comes first because it is the thing that actually changed; the other two follow from it. A shopper who has seen the outfit on themselves is not making a bet. Fewer bets placed means fewer bets regretted, which is what a return usually is.

Why seeing it worn moves returns

Fashion returns are not mostly about faulty goods. They are about a mismatch between what the shopper pictured and what arrived — the wrong drape, a length that sits oddly, a colour that reads differently against their own skin than against a white backdrop. Every one of those is a question that a try-on answers before the order exists, rather than after it ships.

That is the mechanism behind the store's 40% reduction in returns. Nothing about the returns process itself was tightened — no stricter policy, no restocking fee, no friction added to sending something back. The orders that used to come back are simply not being placed in the same uncertain way.

The two levers work in the same direction, which is what makes it unusual:

• More orders. Shoppers who would have hesitated see themselves in the item and buy. For AIMAN Fashion that shows up as a 10% lift in revenue.
• Fewer of those orders coming back. The ones who buy have already seen what they are getting.

Most ways of lifting revenue by a tenth cost you something on the other side — aggressive sizing advice and free-returns messaging both buy orders that come back, and discounting buys them at a worse margin. Selling 10% more while handling 40% fewer returns is the unusual part: the same change produced both, because both were the same problem. We go through the mechanism in detail in How Virtual Try-On Reduces Fashion Returns.

The numbers behind the experience

These are FashClick platform figures, not AIMAN Fashion's own trading results — the store's outcomes are the ones quoted above, in its owner's words. What the platform numbers describe is the experience a shopper actually gets:

• 8.4 seconds — median render time, rolling 30 days. Fast enough that the shopper waits rather than leaves.
• Zero new photos — results are generated from the catalogue images a store already has.
• 15 countries — served by the same cloud rendering, around the clock.
• 5 free images on signup — no card, so a store can test its own products before committing.

Rendering runs asynchronously, so none of it sits in the critical path of a product page. The page loads as it always did and the try-on opens when the shopper asks for it.

How to run the same play in your store

Nothing AIMAN Fashion did requires the scale of a large retailer. The sequence is deliberately short:

1. Pick your five hardest products. The ones with real traffic and a poor conversion rate, or the ones that come back most. That is where the fit question is loudest.
2. Render them from the photos you already have. Use the free signup credits. You are judging one thing: does the result look like something you would put on your own product page?
3. Put it in front of shoppers on those products first. A narrow rollout gives you a clean read.
4. Watch both numbers, not one. Conversion on those pages, and their return rate. The point of try-on is that both should move the right way.
5. Widen it, then automate. Once the read is good, extend across the catalogue — and if you want try-on somewhere custom, the REST API takes a garment image and a person image and hands back the render.

Start with your own products

The fastest way to judge any of this is to stop reading about it and run one of your own garments through. You can render a try-on on the FashClick homepage without an account, or talk to us if you would rather walk through your catalogue with someone first.