A Smarter Way to Try On Clothes — Before You Buy
Meu Vestir equips fashion retailers with a virtual fitting room platform that lets shoppers visualise garments on a true-to-size avatar — reducing returns, lifting conversion, and making online shopping feel genuinely personal.
Everything a fashion retailer needs to sell with confidence
We built Meu Vestir around a single conviction: shoppers who can truly visualise a garment on their own body shape are shoppers who commit — and come back. Every capability on this page serves that outcome.
The fashion e-commerce market loses an estimated 30–40 % of potential revenue to hesitation and returns driven by fit uncertainty. Customers stall at checkout because they cannot picture how a specific cut will fall on their frame. They order two sizes "just in case," return one, and the retailer absorbs the logistics cost.
Meu Vestir resolves that friction at its source. Our virtual fitting room technology creates a personalised, photorealistic avatar for each shopper — calibrated to their exact measurements — and drapes catalogue garments onto that avatar in real time. The experience is available directly inside your e-commerce store, with no app download and no complex setup for the end customer.
Beyond the consumer experience, our platform feeds your merchandising and buying teams with rich behavioural data: which items shoppers try on most, where they abandon the session, and which size combinations they actually convert on. That intelligence compounds over time, making every season smarter than the last.
Photorealistic Garment Draping
Physics-informed cloth simulation renders fabric weight, drape and texture accurately — no flat overlays or cartoonish results.
Body-Accurate Avatar Generation
Shoppers input height, weight and key measurements; our engine constructs a proportionally correct 3D body model in seconds.
Plug-and-Play Store Integration
Native connectors for Shopify, WooCommerce, VTEX and custom storefronts let most retailers go live within a single business day.
Actionable Retail Intelligence
A dedicated dashboard surfaces try-on rates, drop-off points and size distribution data — directly tied to your sales metrics.
Virtual Fitting Room
The Virtual Fitting Room is the centrepiece of Meu Vestir's platform. Embedded directly into your product detail pages, it invites shoppers to step into a personalised try-on experience without ever leaving your store. There is no redirect, no separate app, and no friction — just a single button that transforms how a customer relates to your catalogue.
Once a shopper has created their avatar (a one-time, two-minute process), they can immediately start trying garments on that personalised body model. Rotate 360°, swap colours and sizes, and layer pieces together to preview complete outfits. The rendering engine accounts for garment-specific fabric properties — so a structured blazer behaves differently from a draped jersey dress, as it should.
The fitting room session is persistent: avatars are saved to a lightweight shopper profile, meaning repeat visitors skip setup entirely and arrive ready to browse. Each try-on interaction is tracked, giving you visibility into which products drive the deepest engagement and which might benefit from better photography or copy.
- Embedded widget — no page redirect or external app required
- 360-degree avatar rotation with zoom
- Multi-garment outfit layering and colour switching
- Fabric-specific drape and texture simulation
- Persistent shopper avatar (saved profile, one-time setup)
- Mobile-optimised experience across iOS and Android browsers
- Branded UI skin to match your store's visual identity
Retailers deploying the Virtual Fitting Room consistently report a 20–35 % uplift in add-to-cart rate on enabled product pages and a measurable reduction in exchange-driven returns within the first quarter of operation.
Personalised 3D Body Modelling
Generic mannequins do not represent your customers. Meu Vestir's avatar engine generates a proportionally accurate 3D body model from six simple self-reported measurements — height, weight, bust, waist, hips and inseam — with no specialist hardware, no camera, and no visit to a fitting room.
Our underlying model was trained on a broad population dataset representing a wide range of body types, proportions and sizes. Rather than interpolating from a limited set of stock bodies, the engine constructs each avatar as a unique parametric model — meaning it accurately reflects the way a size-12 shopper at 162 cm differs from a size-12 shopper at 178 cm, even if both share the same stated measurements.
Avatar data is stored securely and never shared with third parties. Shoppers retain full control, and retailers never access individual body measurement data — only aggregated, anonymised sizing intelligence is surfaced through the analytics dashboard.
- Six-measurement input, browser-based — no hardware dependency
- Parametric model construction (not interpolated stock bodies)
- Wide size range: XS through 6XL and plus-size inclusive
- Supports male, female and gender-neutral body configurations
- Persistent avatar stored in encrypted shopper profile
- GDPR and LGPD compliant data handling
Because the avatar truly reflects their body, shoppers report significantly higher confidence in size selection — which directly translates to fewer "safe" multi-size orders and lower return logistics costs for your operation.
Size Intelligence & Fit Recommendation
Getting the avatar right is half the equation. The other half is accurately mapping a shopper's body dimensions to a specific brand's size chart — and that mapping is far more complex than it appears. Sizing conventions vary wildly between brands, categories and even individual garments within a single collection.
Meu Vestir's Size Intelligence layer sits between the avatar and the garment, performing a real-time fit analysis for each product. It reads the garment's graded measurements from your product data, compares them against the shopper's avatar dimensions, and surfaces a recommended size with a clear confidence rating. Where fit is borderline between two sizes, the shopper is shown a visual comparison — so they can make an informed, personalised decision rather than guessing.
Over time, as more try-on and purchase data accumulates, the recommendation engine learns your specific catalogue's idiosyncrasies — flagging items that consistently run small, or cuts that are more forgiving across a range of proportions. Those corrections feed back into the recommendations automatically.
- Per-garment fit analysis based on graded technical measurements
- Confidence-rated size recommendation (Best Fit / Good Fit indicators)
- Visual two-size comparison for borderline cases
- Automatic brand-specific calibration from purchase and return data
- Supports multi-brand catalogues with independent calibration per label
- Fit notes surfaced on the product page alongside standard size guide
Shoppers who receive a confident size recommendation are 3× more likely to complete a single-size purchase — directly reducing the multi-size "bracket buying" behaviour that inflates both your logistics and return-processing costs.
From zero to live in a single day
Meu Vestir was designed from the start to fit around your existing stack — not to replace it. Integration is handled via a lightweight widget and a straightforward product-data feed, with dedicated onboarding support at every stage.
Connect Your Store
Install the Meu Vestir plugin from the Shopify App Store, WooCommerce marketplace, or VTEX Exchange — or drop a single JavaScript snippet into your custom storefront. Authentication and store pairing complete automatically. No back-end development work is required for the vast majority of stores.
Under 15 minutesUpload Garment Data
Share your product catalogue with graded size measurements — either via our CSV import tool, a direct API sync with your PIM, or a structured spreadsheet template our team provides. We process the data, map it to our garment modelling format, and return a QA report flagging any missing or inconsistent spec sheets before anything goes live.
Typically same dayConfigure & Brand
Customise the widget's colour scheme, typography and button language to match your store's design system. Choose which product categories are try-on enabled, set the default avatar presentation, and configure which size-recommendation copy appears on the product detail page. A preview environment lets you test the full experience before flipping the switch.
Your brand, your rulesGo Live & Optimise
Activate the fitting room across your enabled products. From day one, your analytics dashboard begins populating with try-on engagement data, session depth metrics and size-selection patterns. Our customer success team schedules a 30-day post-launch review to work through early learnings and tune configuration for your specific audience.
Supported launchPlatform & Catalogue Updates
As you add new seasons, your product feed syncs automatically — new garments are processed and made try-on ready within 24 hours of upload. Platform updates, engine improvements and new features roll out automatically to all active accounts with no action required on your side.
Always currentContinuous Support
All plans include access to our technical support team via email and our shared knowledge base. Growth and Enterprise accounts receive a dedicated customer success manager, priority response SLAs, and quarterly business review sessions to track platform ROI against your commercial targets.
Always in your cornerBuilt on proven fashion-tech and AI infrastructure
Data That Drives Better Buying Decisions
The Meu Vestir analytics dashboard gives merchandisers, buyers and e-commerce managers a window into shopper behaviour that standard web analytics simply cannot provide. Because we sit inside the try-on experience, we capture intent signals invisible to tools like Google Analytics: which garments attract the most virtual try-ons, which sizes are tried most frequently versus purchased, and where in the fitting room session shoppers disengage.
Size distribution data is particularly valuable for buying teams. When you can see that a specific style drives disproportionate try-on volume in sizes 14–18 but converts most heavily in sizes 10–14, that is actionable intelligence for your next production run. Similarly, high try-on, low-conversion patterns on individual products often flag a garment-to-measurement discrepancy that, once corrected in the spec sheet, immediately improves both sales and satisfaction.
All analytics are exportable and available via API for teams that want to pipe data into a business intelligence tool or combine it with other retail reporting. Custom date ranges, segment filters by category, brand or product tag, and week-on-week comparison views are included in all plan tiers.
- Try-on rate per product and per category
- Session depth and drop-off point analysis
- Size selection vs. purchase size comparison
- Avatar measurement distribution across your shopper base
- Return-rate correlation layer (requires returns data feed)
- Weekly automated digest emails with AI-surfaced highlights
- Full CSV and API export for BI integration
The right scale for your operation
Whether you run a curated boutique or a high-volume multi-brand platform, Meu Vestir has a deployment configuration built for your catalogue size, traffic profile and team capacity. All plans include full access to core platform features — the tiers differ in scale, support and advanced tooling.
Boutique & Independent Labels
Perfect for single-brand stores and emerging fashion labels ready to offer a premium fitting experience without a heavy investment in technical infrastructure.
- Virtual Fitting Room widget — up to 500 SKUs
- Personalised avatar engine for all shoppers
- Basic Size Intelligence recommendations
- Core analytics dashboard (30-day rolling window)
- Shopify & WooCommerce native connectors
- Branded widget with your colours and typography
- Email support with 48-hour response SLA
- Onboarding documentation and video library
Scaling Retailers & Multi-Category Stores
For stores with broader catalogues and meaningful monthly traffic, the Growth plan unlocks advanced analytics, priority support and extended product data tooling.
- Expanded catalogue — up to 5,000 SKUs
- Full Size Intelligence with ML catalogue calibration
- Outfit layering and multi-garment try-on
- Advanced analytics — 12 months history, all filters
- Automated weekly insight digest emails
- VTEX IO connector included
- Dedicated customer success manager
- Priority support with 8-hour business-hours SLA
- Quarterly business review sessions
Multi-Brand Platforms & High-Volume Operations
Custom-scoped for large marketplaces, department store groups, and brands running high-traffic events such as sale periods and new-season launches.
- Unlimited SKU capacity with batch processing pipeline
- Multi-brand independent calibration (up to 50 labels)
- Returns data integration and ROI attribution layer
- Full API access for custom BI and reporting integration
- White-label option — platform presented fully under your brand
- Dedicated infrastructure with uptime SLA
- Custom onboarding and migration support
- 1-hour response SLA for critical issues, 24 / 7
- Executive sponsor contact within Meu Vestir leadership
What makes this platform different
The virtual fitting room space is growing fast. Here is what sets Meu Vestir apart from generic overlay tools and international platforms that weren't built for the realities of fashion retail in Brazil and Latin America.
Built for the Brazilian Market
Meu Vestir was developed in Brazil, for Brazilian fashion retail. Our body modelling dataset reflects the full diversity of Brazilian body types and proportions — not a generic global dataset retrofitted to local sizing conventions. Our size mapping accounts for the specific quirks of Brazilian brand sizing, including the common discrepancy between numeric and lettered size charts.
No-Friction Shopper Experience
Customers do not need to download an app, create an account on our platform, or navigate away from your store. The entire fitting room experience lives inside your existing storefront, runs in any modern browser, and is optimised for mobile performance — where the majority of Brazilian fashion e-commerce traffic originates.
Privacy-First Architecture
Shopper body measurement data is encrypted at rest and in transit, stored only in the shopper's own profile, and never shared with the retailer or third parties. Our data handling architecture is designed to comply with Brazil's LGPD and, where relevant, the European GDPR. Retailers receive only anonymised, aggregated sizing intelligence.
A Platform That Gets Smarter Over Time
Unlike static try-on tools that deliver the same output regardless of historical purchase behaviour, Meu Vestir's ML layer continuously refines size recommendations based on your actual sales and returns data. The longer you run the platform, the more precisely calibrated it becomes to your catalogue's specific fit characteristics and your customer base's preferences.
Real Commercial Outcomes — Measurable Ones
We are not selling a novelty experience. Every feature decision is driven by demonstrable impact on conversion, average order value and return rate. Our analytics dashboard makes the ROI calculation transparent — you can see the lift the fitting room is generating, broken down by product and category, at any point in time.
A Team That Acts Like a Partner
Onboarding is not a hand-off — it is the beginning of an ongoing relationship. Our customer success team monitors platform health proactively, flags anomalies in your analytics before they become problems, and brings recommendations to quarterly reviews rather than waiting to be asked. We grow when you grow, so our incentives are genuinely aligned.
Ready to give your shoppers a fitting room that actually fits?
Speak with our team about your catalogue, your platform and your return-rate challenges. We'll walk you through a personalised demonstration and help you identify the fastest path to measurable results for your store.