Sizes don't match between brands. Charts confuse. Returns kill your margins. evow gives every visitor a personal fit-finder in one line of code.
Assisted pilot · scoped catalogue · success criteria agreed upfront · Already a partner? Sign in
The problem
Fashion merchants often report that fit uncertainty drives returns and abandonment. Your own analytics remain the baseline; EVOW does not assume a sector average applies to your brand.
Your size charts don't help. They're brand-specific. Shoppers don't carry a tape measure. Reviews (“fits small”) are subjective. So they order 2 sizes, return 1, and your warehouse burns hours.
Worse: most aren't returns — they're silent abandons. Visitors who don't add to cart because they can't tell if it'll fit.
How it works
Start with a scoped catalogue feed and the hosted script. We validate the mapping before exposing any shopper cohort.
Share a JSON or CSV export for 100–300 priority products. We validate products, variants, sizes and stock.
We map product cards and size attributes with your team, then verify the pilot storefront.
CSS variables for colors, position, typography. Or full white-label — it can look entirely yours.
A controlled cohort sees the experience. We report activation, fit interactions, conversion and returns without promising an uplift.
<!-- That's it. The whole integration. -->
<script
src="https://api.evow.app/magic-mirror.js"
data-key="pk_live_YOUR_KEY"
data-brand="your-brand-slug"
data-catalogue-selector=".product-grid"
/>Why evow
| evow | Size charts | Body-scan apps | Static recommenders | |
|---|---|---|---|---|
| Setup model | Assisted pilot | Self-serve | Project | Project |
| Cross-brand model | Calibrated catalog | ✗ | ✗ per-brand | ✗ |
| Visitor friction | 30 sec | Open chart | Camera + body | None |
| Backend integration | Script + feed | None | Heavy | Medium |
| Performance proof | Measured in pilot | Baseline | Vendor-specific | Vendor-specific |
| Per-visitor data | Cross-brand | None | Brand-only | Brand-only |
| Mobile-friendly | ✓ | Tedious | ✗ permissions | ✓ |
| Privacy posture | EU-hosted + DPA review | n/a | Varies | Varies |
Built for your stack
The hosted script and assisted JSON/CSV catalogue ingestion are available today. Commerce plugins are roadmap items.
A hosted script plus DOM hooks, configured and QA-tested with the EVOW team for the pilot storefront.
JSON or CSV ingestion for products, variants, market, price and stock, with validation before publication.
A native Shopify installation is planned but is not currently listed in the Shopify App Store.
Magento, SFCC, Sylius, WooCommerce and npm packages require a scoped integration project today.
Data & trust
EVOW documents the parties’ GDPR roles in the pilot DPA. Data and marketing consents are separated. The pilot data boundary is designed so the brand does not receive raw measurements; the final fields and purposes are agreed before activation.
| Field | Brand | evow |
|---|---|---|
| Hashed profile token | ✓ | ✓ |
| Per-SKU size verdict | ✓ | ✓ |
| Style-match score | ✓ | ✓ |
| Anonymous cohort label | ✓ | ✓ |
| Raw measurements (cm, kg) | ✗ | ✓ |
| Email / phone / address | ✗ | ✓ (until checkout) |
| Cross-brand history | ✗ | ✓ (user-owned) |
Pricing
Start with a paid, scoped proof. Subscription pricing is proposed only after pilot results.
30-minute qualification and technical fit review
6–8 weeks · 1 storefront · 100–300 products
Multi-brand groups · scope agreed after a successful pilot
See the Brand Portal modules (AI Size Guide, Profile Push, Return Intelligence, Cohort Analytics) on the Brand Portal page.
Maison Lumière is a demonstration storefront used to show the experience and integration flow. It is not a customer testimonial or a performance case study.
Book a demo
We'll show you evow on your catalogue context. We show the controlled demo, review a few sample products and determine whether a paid pilot is technically and commercially relevant.