The first virtual try-on that predicts real clothing fit — using actual body measurements. Give your online customers the same personalized fit guidance they would get from the best sales associate in your store. AI size recommendation and garment fit prediction — directly in your shop, no app required.
maketribe is a Fitting Intelligence Technology platform for fashion ecommerce. The technology uses multiple high-precision body measurement reconstruction methods to generate precise garment fit predictions and AI size recommendations — without requiring customers to download an app. The technology serves fashion ecommerce, second-hand & resale, and workwear.
Partners & backers — trusted by innovative fashion brands
Multiple precision capture methods, adapted to each target group. From simple inputs to contour measurement — always highest accuracy, no app required.
We handle the entire process. Zero development effort on your side.
We analyze your product data and size information, fill in missing data, and create an individual size and fit concept for each product type. The AI is trained with your data.
A digital twin of your shop is created — so we can test the software together in a test environment and make final adjustments.
After testing, we set up your cloud environment (server in Stockholm) and integrate the size recommendation into your Shopify shop. Zero development effort on your side.
From body measurement capture to size recommendation — directly in the browser, in under 60 seconds.
Adapted to your target group: from quick inputs to photo-based capture to precision contour measurement. Always in the browser, no app.
Our AI creates a 3D avatar with all relevant body measurements — neck, shoulders, chest, waist, hips, arm length, leg length.
The Size and Fit Engine (GPE) combines body data with product measurements, fabric properties, and individual fit preferences.
Your customer receives the right size with detailed fit analysis — and can virtually try on the garment right away.
maketribe is the infrastructure for accurate digital fit — size recommendation, visual try-on, and style recommendations, connected by an automated data pipeline.
Your customers get precise size recommendations directly in your online store — based on body data, product information (e.g. fabric stretch), brand fit patterns, and individual preferences.
Your customers see how every available size looks on their body — realistic and in real-time. They make the right purchase decision before ordering.
Smart outfit recommendations: the customer tries on a t-shirt — and gets matching pants in the right size suggested. Cross-selling based on real fit data.
The data we collect becomes valuable business insights — a closed feedback loop from customer orders to production planning.
Key capabilities
maketribe virtual try-on software provides: high-precision body measurement reconstruction with multiple capture methods adapted to each target group — without app download, AI garment fit prediction using real body measurements instead of avatars, clothing size recommendation AI with confidence scores, automated data pipeline that connects all modules and cleans messy datasets, plugin integration for Shopify, Magento and other ecommerce platforms, and a REST API for custom integrations. The technology serves fashion ecommerce, second-hand and resale platforms, workwear, and made-to-measure. All data processing is GDPR compliant and hosted in Europe.
No IT team needed. We integrate the virtual try-on into your shop — or you use our API.
One-click install for Shopify, Magento, and more. We handle everything.
Full documentation for technical teams that need maximum control and custom integrations.
All data processed in Europe. Privacy from day one. No transfer to third countries.
Our focus: DTC fashion ecommerce. Our virtual try-on technology: flexible for any industry.
Plugin integration for online stores. Strengthen purchase decisions, increase conversion — and reduce returns as a result.
Custom software solutions: digitally measure employees and automatically assign sizes — without physical fitting, without manual spreadsheets.
Performance fit for demanding athletic apparel — precisely matched to individual body shapes and movement profiles.
Digital body measurement for custom clothing — scalable, without tailor visits, deployable worldwide.
Allow buyers to visualize unique vintage and secondhand items on their own body and predict fit for one-of-a-kind garments — even without model photos. Dramatically increases resale conversion.
Typical applications and the potential our virtual try-on technology unlocks.
Customers who know their size, buy. maketribe's virtual try-on gives them that confidence at point of sale — as a plugin, no IT effort.
When customers order the right size, returns drop automatically — less logistics, more margin.
Instead of manual measurement: employees capture their measurements digitally. Automatic size assignment — scalable for any team size.
Secondhand platforms suffer from poor product presentation. Virtual try-on gives single items a professional on-body visualization — and buyers the confidence to actually purchase.
How the leading approaches to virtual try-on and AI size recommendation compare.
| Criteria | Quiz-based | Avatar System | maketribe |
|---|---|---|---|
| Real body measurements | ✕ | ✕ | ✓ |
| No app download | ✓ | ~ | ✓ |
| Realistic visualization | ✕ | ~ | ✓ |
| Messy data support | ~ | ✕ | ✓ |
| No IT team required | ✓ | ✕ | ✓ |
| Body measurement prediction based on target group analysis | ✕ | ✕ | ✓ |
| Workwear-ready | ✕ | ✕ | ✓ |
| GDPR compliant | ✓ | ~ | ✓ |
20% reduction in returns (at avg. €20 per return = immediate ROI). +1% conversion rate increase. Cross-selling through fit-based outfit recommendations. Your customers receive the same personalized fit guidance online as they would from the best sales associate in your flagship store — at scale, 24/7. Data enrichment and stronger buyer confidence.
80% faster decision-making. The ability to choose garment fit — e.g. whether a dress should sit tight or loose at the waist. See your own avatar in different outfits. Less time and money spent on returns.
For the Environment
Fewer returns — less packaging, shorter transport routes, less textile waste, less CO₂, more sustainability.
Mathematician with 10+ years in management consulting, including 5 years as Data Science Manager developing AI solutions for DAX corporations. MSc in Financial Mathematics with focus on Data Science.
Virtual try-on software (also known as a virtual fitting room, digital try-on, or online try-on) is technology that allows customers to see how clothing looks on their own body before they buy. Unlike traditional size charts or quiz-based tools, modern virtual try-on software uses real body measurements and delivers significantly more accurate garment fit prediction results than conventional clothing size recommendation methods.
In fashion ecommerce, return rates average around 40%. The primary reason: customers cannot assess fit and size online. This leads to cart abandonment (lost conversion) and multi-size ordering (returns). Virtual try-on software solves both problems simultaneously — customers get size confidence, stores get higher conversion and fewer returns. Precision body measurement reconstruction is the foundation that makes this accuracy possible.
maketribe combines multiple precision body measurement methods with AI size recommendation and virtual try-on in a single plugin for online stores. The process: depending on the target group, multiple precision capture methods are available — from simple inputs to contour-based measurement. Everything runs directly in the browser, no app download required. From the data, maketribe creates a precise body model and recommends the optimal size for each garment. Optionally, the fit is visualized on the customer's own body model through virtual try-on.
AI size recommendation answers the question "What size should I order?" — typically as a text recommendation (e.g., "Size M, Perfect Fit"). Virtual try-on goes further and visually shows how the garment looks on the customer's body. maketribe offers both: AI size recommendation as a conversion driver on every product page, and virtual try-on as the visual purchase argument. Together, they provide comprehensive garment fit prediction.
Many virtual fitting room solutions require end customers to download a separate app — a massive friction point that reduces adoption and conversion. maketribe's virtual try-on software works as a plugin directly in the online store: Shopify, Magento, and other platforms are supported. Integration is handled by maketribe — no IT team required on the client side. For technical teams, a complete REST API with documentation is also available.
Virtual try-on technology is rapidly evolving from a novelty to a core component of fashion ecommerce infrastructure. As body measurement reconstruction technology becomes more accessible and adaptive to different user groups, the barrier to adoption is disappearing. The shift from quiz-based sizing tools to real body measurement-based systems represents a fundamental change in how online shoppers interact with fashion products.
Key trends shaping the future of virtual try-on software include: integration of AI size recommendation directly into product pages (not as a separate flow), real-time garment fit prediction that accounts for fabric stretch and drape, cross-brand size consistency powered by standardized body measurement data, and expansion beyond fashion into second-hand and resale platforms, workwear, uniforms, sportswear, and made-to-measure applications.
For ecommerce operators, the question is no longer whether to implement virtual try-on, but which approach delivers the most accurate results. Body measurement-based systems like maketribe consistently outperform quiz-based and avatar-based alternatives because they start from ground truth: the customer's actual body dimensions.
AI size recommendation for fashion ecommerce uses machine learning algorithms to match a customer's body measurements to the specific dimensions of a garment. The process involves three data sources: the customer's body measurements (captured via precision measurement methods adapted to the user group), the garment's product data (measurements, material properties, intended fit), and historical fit feedback from previous customers.
Traditional clothing size recommendation approaches rely on self-reported data like height, weight, and preferred fit — inputs that are imprecise and subjective. AI size recommendation based on real body measurements eliminates this uncertainty by working with objective, measured data. The result is a significantly higher recommendation accuracy and a measurable reduction in size-related returns.
maketribe's AI size recommendation engine processes unstructured product data automatically, meaning merchants don't need perfectly formatted size charts. The system normalizes inconsistent measurements, fills gaps intelligently, and generates accurate fit predictions even for products with minimal data — a critical advantage for brands with large, messy catalogs.
Fashion ecommerce faces a structural returns problem: approximately 40% of online clothing orders are returned, with 70% of those returns caused by wrong size or poor fit. The economic impact is severe — each return costs an average of €20 in Europe, destroying margin and creating environmental waste through logistics and repackaging.
The root cause is simple: customers cannot try clothing on before buying online. Traditional size charts vary between brands, self-assessment is unreliable, and photos don't communicate fit. This uncertainty leads to two costly behaviors: cart abandonment (customers who want to buy but don't trust the size) and bracket ordering (buying multiple sizes with intent to return).
Virtual try-on software with real body measurement technology addresses both behaviors. By giving customers objective size confidence at the point of purchase, virtual try-on simultaneously increases conversion rates (more confident buyers complete checkout) and reduces returns (fewer wrong sizes ordered). The combination of AI size recommendation and visual garment fit prediction creates the most effective approach available today.
Experience AI size recommendation and virtual try-on software in a personal live demo.
Pick a time