Mirror Fit
Try it yourselfRequest a demo
Virtual fitting for fashion retail

Try it before you
buy it.

Let your customers try on your entire catalogue on their own photo, and mix and match fashion items into complete looks.

The same photo, wearing the bouclé outfit: jacket, blouse and trousersWith Mirror Fit
Original photo: a woman, full body, from the frontYour photo
The KPIs that matter

More conversion, fewer returns, more revenue.

Today's market benchmarks. Once you are live, we measure the same KPIs in your shop and show them in your dashboard.

Conversionaverage conversion rate in fashion e-commerceWe measure your uplift against a holdout group, with a confidence interval.
Return rateof all items returned in German e-commerce are fashionWe report the return rate of fitting buyers next to everyone else, clearly labelled as an observation.
Revenue per visitormore revenue per visitorConversion times basket value, minus returns: the number your finance team looks at.
Interactive

Calculate what returns cost you.

Move the sliders to your shop's numbers. Nothing is sent anywhere.
Lost to returns every month−€4.5M450,000 returns × €10, and €54M of goods sent back
You save€450,000a month, €5.4M a yearYour assumption, not a promise. Once you are live, we measure the real effect.
Sources

IRP Commerce, May 2026 (conversion) · retourenforschung.de, University of Bamberg, 2025 (returns) · EHI Retail Institute, 2025 (calculator start values)

Try it yourself

Try it yourself with your own image.

Choose one of three complete looks and see it on your own photo. Four steps, no sign in.

  1. 1. Look
  2. 2. Photo
  3. 3. Consent
  4. 4. Result
1. Choose a look
Pick a complete look, then upload your own photo. Every piece is tried on at once.
How it works

Four steps. Every fitting checked before it is shown.

STEP 1 · ONBOARDINGUnderstand the productA background job reads your catalogue: product photo, worn view, details, sizes and measurements. Not live, so nothing slows down your shop.
STEP 2Upload a photoOne full body photo is enough. Mirror Fit asks for consent first.
STEP 3AICreate the fittingThe garment is placed on the person. Pose and background stay.
STEP 4AICheck against the originalSeveral independent AI judges compare the result with the original and detect invented parts.
CheckedChecked before it is shownYour customer sees the fitting once it has passed every check.
Continuous learningWith every try-on, Mirror Fit gets smarter.
  • New items are read in automatically
  • AI models are updated continuously
  • The workflow keeps getting better
  • We learn from aggregated usage, never from individuals
Quality check

Flawless fits, every time: because your style deserves double the attention.

Every fitting is checked against the original before anyone sees it. Here the first attempt cut the coat too short, so Mirror Fit made a second one that matches the original length.

Dashed line: length of the original coat
Attempt 1 · too shortAI check
Attempt 2 · matches
The hem stops above the original length.Length as in the original. Shown to the customer.
Retailer dashboard

Your numbers in one place.

Credits with a forecast of when they run out, the quality of every delivered image, and impact measured against a holdout group instead of guessed.

portal.mirror-fit.comSample data, fictional shop
Mirror Fit
Thread / ObjectProfessional plan
OverviewGood morning. Here is your month so far.
Credits in OctoberRuns out around Oct 26
40,500of 50,000 + 1,025 rollover
Forecast at the current pace · buy more, throttle or stop: you decide
Fittings per dayLast 14 days
Quality, 30 days
delivered
first attempt
Add to cart, holdout test
Up next

On our roadmap.

What we are building next, from marketing spend to fit. Scroll to see what is coming.

Ask about early access
  1. Spend optimisationPlannedUse your Google Analytics or other analytics data to see where your marketing budget works best.
  2. Campaign testingPlannedA/B test campaigns on performance and spend against purchase probability.
  3. Audience targetingPlannedShow virtual try-on to the audiences you choose, for example by purchase probability, and A/B test which audience gets it to optimise spend and conversion.
  4. CDP connectionIn preparationPass fitting events and consents to your customer data platform.
  5. Fit assistantIn developmentCalculates from the measurements per size how a garment sits on the body.
Technology

A workflow, not a single prompt.

Mirror Fit reads the product in layers, creates the fitting in layers and checks it against the original before your customer sees it.

What we check:ButtonsCollarPocketsBeltLengthPatternColourFabricLighting
INTEGRATION

Integration? We've got you covered.

A script tag in your online shop or an SDK in your app. Product data is read in the background, and events such as fitting started and result viewed go to GA4 via your Google Tag Manager. No year long engineering project and no manual workload: setup is included and, if you like, we manage everything from integration to the dashboard.

Ask for the technical docs
Data privacy

Your customers' photos stay in good hands.

  • A European company. Data is stored on Google Cloud in the EU
  • Consent before every upload
  • Photos and results are deleted automatically after 90 days
  • No training on customer photos without separate consent
Request a demo

See a demo tailored to your brand.

Tell us about your shop. We come back to you with a demo based on your own items.

  1. Tell us about your shopPlatform, catalogue size and the looks you want to see.
  2. We prepare your demoBuilt on your own items, not on stock examples.
  3. We walk you through itLive, with your team, including the dashboard.
Mirror Fit
Virtual fitting for fashion retail

Try it before you buy it.

Let your customers try on your entire catalogue on their own photo, and mix and match fashion items into complete looks.

Request a demoTry it yourself
The same photo, wearing the bouclé outfit: jacket, blouse and trousers
Original photo: a woman, full body, from the frontYour photo
With Mirror Fit
The KPIs that matter

More conversion, fewer returns, more revenue.

Today's market benchmarks. Once you are live, we measure the same KPIs in your shop.

Conversionaverage conversion rate in fashion e-commerceWe measure your uplift against a holdout group, with a confidence interval.
Return rateof all items returned in German e-commerce are fashionWe report the return rate of fitting buyers next to everyone else, clearly labelled as an observation.
Revenue per visitormore revenue per visitorConversion times basket value, minus returns: the number your finance team looks at.
InteractiveCalculate what returns cost you.
Lost to returns every month−€4.5Mplus €54M of goods sent back
You save€450,000a monthYour assumption, not a promise. Once you are live, we measure the real effect.
Sources

IRP Commerce, May 2026 (conversion) · retourenforschung.de, University of Bamberg, 2025 (returns) · EHI Retail Institute, 2025 (calculator start values)

Try it yourself

Try it yourself with your own image.

  1. 1 Look
  2. 2 Photo
  3. 3 Consent
  4. 4 Result
Pick a complete look, then upload your own photo. Every piece is tried on at once.
How it works

Four steps. Every fitting checked before it is shown.

  1. STEP 1 · ONBOARDINGUnderstand the productA background job reads your catalogue: photos, details, sizes, measurements.
  2. STEP 2Upload a photoOne full body photo is enough. Consent comes first.
  3. STEP 3AICreate the fittingPose and background stay.
  4. STEP 4AICheck against the originalSeveral independent AI judges compare the result with the original.
Checked before it is shownYour customer sees the fitting once it has passed every check.
CONTINUOUS LEARNINGWith every try-on, Mirror Fit gets smarter.
  • New items are read in automatically
  • AI models are updated continuously
  • The workflow keeps getting better
  • We learn from aggregated usage, never from individuals
Quality check

Flawless fits, every time: because your style deserves double the attention.

Every fitting is checked against the original before anyone sees it. Here the first attempt cut the coat too short (dashed line: original length), so Mirror Fit made a second one that matches.

Attempt 1: the coat ends above the original lengthAttempt 1 · too short
Length: too short.
Attempt 2: the coat reaches the original lengthAttempt 2 · matches
Length: as in the original.
Retailer dashboard

Your numbers in one place.

Credits with a forecast, the quality of every delivered image, and impact measured against a holdout group.

Credits in OctoberRuns out ~Oct 26
40,500of 50,000 + 1,025
Quality, 30 days
Delivered
First attempt
Add to cartHoldout
Sample data, fictional shop
Up next

On our roadmap.

  1. Spend optimisationPlannedUse your Google Analytics or other analytics data to see where your marketing budget works best.
  2. Campaign testingPlannedA/B test campaigns on performance and spend against purchase probability.
  3. Audience targetingPlannedShow virtual try-on to the audiences you choose, for example by purchase probability, and A/B test which audience gets it to optimise spend and conversion.
  4. CDP connectionIn preparationPass fitting events and consents to your customer data platform.
  5. Fit assistantIn developmentCalculates from the measurements per size how a garment sits on the body.
Ask about early access
Technology

A workflow, not a single prompt.

Mirror Fit reads the product in layers, creates the fitting in layers and checks it against the original.

INTEGRATIONIntegration? We've got you covered.Script tag in your shop or SDK in your app. Product data is read in the background, events go to GA4. No manual workload: setup is included and, if you like, managed by us.Ask for the technical docs
Data privacy

Your customers' photos stay in good hands.

European company, data stored in the EUConsent before every uploadDeleted automatically after 90 daysNo training without separate consent
Request a demo

See a demo tailored to your brand.

  1. Tell us about your shopPlatform, catalogue size and the looks you want to see.
  2. We prepare your demoBuilt on your own items, not on stock examples.
  3. We walk you through itLive, with your team, including the dashboard.