Fashion retail is changing.
We built the tool to lead it.
Meu Vestir was founded on a single conviction: that the gap between browsing a garment online and actually knowing how it fits is a solvable problem — and solving it changes everything for the customer and the retailer alike. We're the virtual fitting-room platform purpose-built for Brazilian fashion commerce.
A problem every fashion store owner knew,
but nobody had fixed properly.
Online fashion in Brazil was growing fast — and so was the returns rate. Shoppers were guessing sizes, opening disputes, and abandoning carts the moment they remembered the last time a garment arrived and simply didn't fit. Store owners were absorbing the cost at every step: reverse logistics, restocking, lost lifetime value, and the slow erosion of brand trust.
Our founding team had spent years inside fashion e-commerce operations and saw the same pattern repeating regardless of brand size or price point. The tools that existed were either crude size-chart widgets that didn't account for cut or fabric, or expensive 3-D rendering studios accessible only to global multinationals. There was nothing practical, accurate, or affordable for the thousands of independent and mid-market labels driving Brazilian fashion culture.
So we built Meu Vestir — literally "my outfit" — from the ground up. The platform lets any fashion retailer, from a boutique on Instagram to a multi-channel brand with its own e-commerce site, offer shoppers a virtual try-on and intelligent size recommendation experience that genuinely reflects how a garment will look and feel on their specific body.
From that first conviction, everything else followed: the machine-learning sizing engine, the lightweight store integration layer, the brand-neutral white-label interface, and the analytics dashboard that turns shopper body data into merchandising intelligence. Meu Vestir is not a feature — it is the infrastructure for the next decade of fashion retail in Brazil.
Principles we refuse to compromise on
Our Mission
To eliminate sizing uncertainty from fashion retail — giving every shopper the confidence to buy what they love, and every store the data to sell it more intelligently. We measure our success in returns avoided, conversions earned, and customers who come back.
Our Vision
A fashion industry where the fit of a garment is never a reason to hesitate. We're building toward a future in which virtual try-on is as expected as a product photo — standard, instant, and completely reliable — for every label, on every channel.
Our Values
Accuracy over approximation. Privacy by design — shopper body data stays with the shopper. Simplicity for the store owner, depth for the power user. And an honest partnership with every brand that trusts us with their customer experience.
Fit science meets retail pragmatism
Meu Vestir is not a rendering gimmick. It is a measurement and recommendation engine wrapped in an experience that shoppers trust and store owners can deploy in an afternoon.
At the core of the platform sits a proprietary sizing model trained on tens of thousands of real garment measurements across Brazilian labels — accounting not just for labelled sizes but for the real-world variation in cut, fabric stretch, shoulder drop, rise, and sleeve length that makes a "P" from one brand feel nothing like a "P" from another.
When a shopper enters their measurements — or uses our guided self-measurement flow — the engine matches them against the specific garment they're viewing, not a generic size chart. The recommendation comes with a confidence score and a plain-language explanation: "This runs narrow across the shoulders — we suggest sizing up." That kind of specificity is what turns browser hesitation into a completed order.
For the store side, integration is a deliberate priority. Whether a brand runs on VTEX, Shopify, WooCommerce, Nuvemshop, or a custom-built storefront, Meu Vestir connects via a lightweight script tag and a documented API. There is no rearchitecting, no long implementation project, no dependency on an agency partner to go live.
Garment-Level Measurement Database
Every item in a partner store is mapped at the garment level — not the brand level. Our cataloguing tool extracts or accepts manufacturer spec sheets and stores them against a normalised measurement schema that the recommendation engine can query at request time.
Adaptive Sizing Intelligence
The recommendation model learns continuously. As shoppers confirm purchases and return (or don't) for fit reasons, the model refines its calibration per label, per category, and per body-type profile — improving with every transaction across the entire partner network.
Visual Try-On Overlay
Beyond sizing, Meu Vestir offers a lightweight visual layer that composites garment imagery onto a shopper-selected avatar scaled to their proportions — giving a genuine sense of drape, length and silhouette without requiring 3-D modelling assets from the brand.
Privacy-First Architecture
Shopper measurements are hashed and stored under user control. Brands see aggregate analytics and conversion data — never individual body profiles. Our infrastructure is compliant with Brazil's Lei Geral de Proteção de Dados from architecture outward, not retrofitted afterward.
Retail Intelligence Dashboard
The analytics layer translates anonymised sizing data into merchandising signals: which size runs are under-stocked, which items generate fit complaints before they become returns, and how conversion rates shift by product category and shopper segment.
We hire fashion people who can code
and engineers who understand retail.
The problems at the intersection of apparel and technology are not solved by either discipline alone. Our team is built deliberately at that intersection — and our four operating pillars reflect it.
Empathy Before Engineering
Every technical decision starts with a question: does this make the store owner's day easier, or the shopper's decision clearer? We build nothing that answers only to engineering elegance.
Relentless Accuracy
A size recommendation that is wrong — even occasionally — destroys trust faster than having no recommendation at all. We hold our model to a higher accuracy bar than the industry standard and publish our performance data openly to partners.
Speed as Respect
Shoppers in Brazil browse on mobile, often on 4G. Every millisecond of latency we add to a product page is a fraction of conversion we cost our partners. Our engineering culture treats page-weight discipline as a first-class design constraint.
Transparent Partnership
We tell partners what the data shows — even when it is uncomfortable. If a garment category is systematically mis-sized in their catalogue, we surface it. That kind of candour is what builds a relationship that outlasts a contract renewal cycle.
We started this because we felt the frustration firsthand.
"Brazilian fashion is extraordinary — the creativity, the volume, the cultural richness. What it didn't have was technology that respected both the store owner's operational reality and the shopper's right to actually know whether something would fit before committing to a purchase."
We spent our early years inside fashion e-commerce — managing catalogues, handling returns, watching conversion analytics with a creeping sense that the fundamental problem was upstream of everything we could optimise. The size guess. The fit gamble. The moment a shopper adds to cart and immediately wonders whether they'll be boxing it back up next week.
When we built the first version of Meu Vestir, we tested it with a handful of São Paulo boutiques willing to take a chance on an early product. The results were immediate and measurable: fewer returns, longer session times on product pages, and — most tellingly — customers who came back. Not because of a discount email. Because they trusted the fit.
That early signal is what we've spent every subsequent year turning into a platform scalable enough for a national multi-brand retailer and simple enough that a solo brand owner can configure it without a developer on call. We are proud of what Meu Vestir has become, and genuinely excited about where fashion retail is heading — because we think the best of that future runs directly through better fit technology.
Connect with Our Team ↗From a São Paulo workshop to a national platform
Building the right technology takes time — but it also takes choosing the right moments to move quickly. Our growth has been deliberate: each phase validated before the next began, and each expansion driven by genuine partner demand rather than funding-cycle pressure.
The milestones below are not marketing timestamps. They are the points at which something genuinely changed about what Meu Vestir could do for the stores and shoppers that depend on it.
Platform Founded — First Pilot Stores
The core sizing engine was built and validated with eight fashion boutiques in São Paulo. Initial model accuracy reached 89% on the pilot garment catalogue, already outperforming standard size-chart approaches. The feedback loop with real shoppers proved the concept decisively.
VTEX & Nuvemshop Integrations Launched
Native plug-and-play connectors for Brazil's two largest e-commerce platforms reduced average store onboarding from weeks to hours. Adoption accelerated sharply — by year end the network had grown to over 200 active partner stores across five Brazilian states.
Visual Try-On Layer & White-Label UI Released
The platform expanded beyond sizing recommendations to include visual try-on overlays, giving shoppers a genuine sense of silhouette and length. Simultaneously, the interface became fully white-label, allowing brands to present the experience as their own without any Meu Vestir branding visible to the shopper.
1,000th Partner Store — Retail Analytics Dashboard
Crossing 1,000 active stores brought the network effects the model needed to deepen its calibration substantially. The Retail Intelligence Dashboard launched in the same quarter, turning the anonymised sizing data pool into actionable merchandising signals for store buyers and planners.
3,000+ Stores — LGPD-Certified Infrastructure
The partner network surpassed 3,000 stores across all Brazilian regions. Infrastructure achieved formal LGPD compliance certification. A new category-expansion roadmap — addressing kidswear, activewear and intimates with bespoke measurement models for each — is now in active partner beta.
What makes us different from every
other sizing tool on the market
Built for Brazilian Fashion, Not Adapted from Elsewhere
Brazilian body diversity and the sizing conventions of Brazilian labels are not the same as European or North American markets. Our model was trained entirely on Brazilian garment data and Brazilian shopper measurements — it does not import assumptions that do not apply here.
Integration in Hours, Not Months
Most enterprise fit-tech platforms require a custom integration project spanning weeks and a dedicated technical resource. Meu Vestir's documented API and pre-built platform connectors mean a store owner can go from account creation to a live shopper experience in a single working day.
Genuinely White-Label — Your Brand, Not Ours
The shopper experience is entirely configurable to match a brand's visual identity — colours, typography, tone of voice. There is no Meu Vestir watermark, no co-branding requirement, no badge asking shoppers to notice the infrastructure. The tool serves the brand, invisibly.
Returns Reduction with Measurable ROI
We provide each partner with a monthly ROI report showing returns avoided, estimated logistics cost saved, and conversion rate movement attributable to the fit recommendation widget. These are auditable numbers tied to platform events, not modelled estimates from a marketing deck.
A Model That Gets Better with Your Data
Unlike static sizing tables, Meu Vestir's engine improves as it processes more transactions in your catalogue. A store that has been live for twelve months benefits from a materially more accurate model than at launch — because every confirmed purchase and every return feeds back into calibration.
Pricing Aligned to Store Scale
We structured our pricing so that an independent boutique with 200 SKUs and a multi-channel brand with 20,000 SKUs both pay in proportion to what the platform delivers them. Growth on our platform should not punish our most successful partners — it should reward the relationship.
Bring precise fit to every shopper,
starting this week.
Whether you run a boutique with a curated catalogue or a high-volume fashion brand processing thousands of orders a month, Meu Vestir has a plan calibrated to your scale. Reach out and we will walk you through an integration scoped to your specific storefront.