1. The returns problem
Fashion has the highest return rate in ecommerce. The National Retail Federation's 2025 returns report put online apparel returns at an all-time high of 24.4%, with other industry benchmarks (Richpanel, Eightx) placing the wider apparel range at 20–40% of orders depending on category — rising further in occasionwear and wherever shoppers "bracket," buying multiple sizes intending to send most back. Each return is expensive: once reverse shipping, restocking labour, inspection and markdown are counted, 2026 benchmarks put the fully-loaded cost to process a single apparel return at roughly $25–35 (around £20–28) per item.
The cause is concentrated and addressable. Across industry studies, fit and size account for roughly half to two-thirds of apparel returns — commonly cited between 52% and 67% depending on the source and category — the shopper simply could not tell how the garment would fit before it arrived. Returns are also an environmental cost: processing, transport and the share of returned goods that never re-sell carry a meaningful carbon and landfill footprint.
2. What virtual try-on changes
Virtual try-on attacks the exact uncertainty that drives both lost sales and returns: "how will this look and fit on me?" Reported effects vary by source and are not independently audited at category level, but are consistent in direction:
- Returns: vendors describe lower fit-related returns in their own case studies, but these are not independently audited and depend on category and baseline return rate. Rendered Fits does not publish a return-reduction figure, so treat any single number as unverified and measure on your own store.
- Conversion: vendors report conversion gains in their own case studies, but these vary widely by category and output quality and are not independently audited. Rendered Fits does not publish a conversion figure.
- Confidence: shopper surveys on fit-visualisation tools consistently find a large majority say seeing a product on a body helped their purchase decision.
- Engagement: try-on tools are reported to lift time on the product page and intent to purchase.
This is why the market is growing fast: Mordor Intelligence values the global virtual try-on market at $15.18bn in 2025, projected to reach $48.1bn by 2030 (a ~26% CAGR); Grand View Research and Global Industry Analysts publish broadly similar 2030 estimates in the $46–49bn range from different 2024 base years — the ranges differ by methodology but agree on the direction and order of magnitude.
3. The variable that decides everything: output quality
Here is the finding that matters most, and the one most benchmarks miss: the gains above are not evenly distributed. They accrue to tools whose output is genuinely photorealistic and whose experience is low-friction. A render that looks even slightly synthetic does the opposite of its job — it reduces confidence and cheapens the product, which is fatal for a premium brand. The spread of reported conversion results (from ~10% to multiples) is, in large part, a spread of output quality and customer experience.
Two practical levers separate try-on that works:
- Realism & accuracy. Correct drape, proportion, colour and lighting on the shopper's own body — not an obvious composite or a generic stand-in model.
- Friction. The shopper should see themselves from a single uploaded photo, instantly, on the product page — not build an avatar or a "digital twin," and not wait.
4. What Rendered Fits offers
Rendered Fits is designed around the conditions that matter most: realistic output and low friction. Whether that translates into better results depends on your catalogue, so test it before relying on any benchmark:
- Output quality. Photorealistic, full-garment rendering aimed at the realism premium fashion demands. Check it against your own product images.
- Customer experience. One photo, a quick result, shown on the product page. No digital twin or avatar build.
- Size guidance alongside the preview. Size recommendations come from your own size chart and fit notes. A try-on preview does not establish physical fit, and Rendered Fits does not publish return or conversion figures.
- Shopify-native. No enterprise integration or 3D pipeline; it runs from your existing product imagery.
Rendered Fits combines virtual try-on and size guidance on Shopify product pages. Evaluate it with your own catalogue and traffic. We do not publish a verified fixed return-reduction percentage; read our measurement guide and merchant-evidence note.
5. How to benchmark try-on on your own store
Measure four things over a clean test window, ideally split-tested:
- Return rate on try-on-enabled products vs control — watch fit-related returns specifically.
- Conversion rate of sessions that engaged with try-on vs those that didn't.
- AOV and bracketing — are shoppers ordering fewer "safety" sizes?
- Engagement — try-on completion rate and time on PDP.
The fastest, most honest test is on your own garments. Send one product URL and judge the output on a piece you know.
Frequently asked questions
What percentage of fashion returns are fit-related?
Industry figures put fit and size at roughly half to two-thirds of apparel returns, commonly cited between 52% and 67% depending on source and category. It is the single largest, most addressable driver of returns.
How much does virtual try-on reduce returns?
Vendors describe lower fit-related returns in their own case studies, but those figures are not independently audited and vary by category and baseline return rate. Rendered Fits does not publish a return-reduction figure; measure on your own store. A try-on preview does not establish physical fit.
Does virtual try-on increase conversion?
Vendors report conversion gains in their own case studies, but these vary widely by category and output quality and are not independently audited. Rendered Fits does not publish a conversion figure; measure on your own store.
What makes virtual try-on actually work?
Output realism and low friction. A render that looks synthetic undermines confidence; an avatar-building step adds friction. Photorealistic, one-photo, on-page experiences are the design goal for Rendered Fits, but results depend on your catalogue and should be tested.
Methodology & sources
Rendered Fits combines virtual try-on and size guidance on Shopify product pages. Evaluate it with your own catalogue and traffic. We do not publish a verified fixed return-reduction percentage; read our measurement guide and merchant-evidence note.
About Rendered Fits. Rendered Fits is a Shopify app for fashion brands that recommends a size for supported products from the brand's own size chart, and can show shoppers an optional AI try-on preview. There is a Free plan, and Complete is $349 a month with a 14-day trial.