For Fashion Retailers · E-Commerce Leaders · Strategic Partners
The Future of
Fashion Retail
Has Arrived.
AI styling. Photorealistic virtual try-on. Personalised at scale.
See your customers in tomorrow's purchases — today.
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01
The Problem
Online fashion is
leaking value.
Three structural problems quietly erode every fashion retailer's bottom line — every day, on every purchase.
30-40%
Return Rate
Fashion online return rates run 3× higher than in-store. Wrong size, wrong colour, wrong fit.
70%
Abandoned Carts
Shoppers add to cart, then hesitate. They cannot see how it will look on them.
2.5%
Conversion
Industry-average e-commerce conversion in apparel. Below grocery. Below electronics. Below the long-term average.
02
The Vision
Imagine a shopper who
already sees herself
wearing what's in her cart.
01
Photorealistic Try-On
Customers upload one portrait. Our AI engine composes them into the outfit — in seconds. They see, before they buy.
02
Personal AI Stylist
Eight complete outfit recommendations, generated from her style profile, body type, season, occasion, and colour palette.
03
Match Score Confidence
Every outfit comes with a transparent match score — turning hesitation into a confident click.
03
Platform at a Glance
One platform.
Two surfaces. Zero friction.
A single, hosted JavaScript engine powers two clean interfaces — a customer-facing storefront and a private operator console.
Frontend
Customer Storefront
EN / FR · Bilingual · Mobile-first · Embeddable on any e-commerce platform
Admin
Operator Console
API key management · Provider routing · Live token & cost dashboard
AI Engine
virtualtryon.js
OpenAI
GPT · Image Edit
Anthropic
Claude Vision
Google
Gemini
Alibaba
Qwen VL
Groq
Imagine API
Kling AI
Kolors VTO
04
Capabilities
Six capabilities,
engineered to convert.
01
AI Outfit Stylist
Eight complete outfits generated per session. Each calibrated to style, season, occasion, body type and colour profile.
02
Photorealistic Try-On
OpenAI gpt-image-1, Gemini 2.5 Flash, Kling Kolors — choose your engine. Real garments. Real customer. Real composition.
03
Smart Size Calculator
Height + weight + body type → top, bottom, dress, shoe, bra, sleeve, neck. International conversions. Confidence-scored.
04
Skin-Tone Colour Analysis
Live ColorThief extraction from the uploaded portrait. Seasonal-colour theory. Personalised palette in three seconds.
05
Outfit Builder & Wishlist
Drag-and-drop. Save. Share. Re-style. Persistent across sessions via the bi-directional cloud profile bridge.
06
Bilingual EN / FR
Full UI translation — and the AI itself generates recommendations in the selected language. Quebec-ready, EU-ready.
05
The Wow Moment
She uploads one photo.
She sees everything.
①
Upload Portrait
30 seconds. Mobile camera. Or file upload. AI extracts skin tone & colour palette automatically.
→
②
Generate Try-On
Generative AI composes the customer into the recommended outfit photo with photorealistic accuracy.
→
③
Buy with Confidence
Direct link to the product page. Download the try-on image. Share it. Decide.
Average elapsed time, upload to result: under 30 seconds.
06
Resilient by Design
No single point
of failure.
Six AI providers. One operator-controlled router. Automatic failover. Live cost tracking on every request.
| Provider | Role | Strength | Cost |
|---|---|---|---|
| OpenAI | Primary VTO + Recommendations | Photorealistic image edits | $$ |
| Anthropic Claude | Vision Analysis Fallback | Detailed styling reasoning | $$ |
| Google Gemini | Image Generation Alternative | Budget photorealism, fast | $ |
| Alibaba Qwen | Multimodal Vision Analysis | VL-Max — multilingual | $ |
| Groq | Ultra-fast Inference | Llama 4 Scout / Maverick | $ |
| Kling AI | Specialised Garment Try-On | Kolors — purpose-built VTO | $$ |
07
The Business Impact
Numbers that
matter.
Industry benchmarks for retailers deploying AI styling + virtual try-on (Shopify, Klarna, Vogue Business 2024-25 reports).
+148%
Conversion uplift
Customers who see themselves in the outfit complete checkout at 2.5× the rate.
+49%
Higher AOV
Outfit-bundle suggestions lift average basket from single-item to complete look.
−53%
Fewer returns
Wrong-size & wrong-look returns drop sharply. Logistics costs follow.
Projected Net Annual Impact · Representative Retailer Scenario
Multi-million-dollar incremental revenue & cost savings.
ROI Multiple
> 40 ×
08
Anchor Client
1ère Avenue
· Quebec
High-end designer fashion retailer · 20,000+ products · Premium positioning · Bilingual (EN/FR) market.
20,301
Products Indexed
Live Google Shopping XML feed, refreshed daily.
9
Category Verticals
Robes, Pantalons, Hauts, Manteaux, Jupes, Combinaisons + 3 more.
EN/FR
Bilingual Deployment
Quebec market: French. ROC + US: English.
100%
Content In-Language
AI generates outfit descriptions in the user's selected language.
"The customer no longer guesses how it will look. She sees it. That changes everything."
09
Implementation
Live in two weeks.
From contract signature to first customer try-on. Four phases. Zero developer time on your side.
Week 1
Discovery & Configuration
Feed audit · Brand colour palette · Persona definition · API key provisioning.
Week 1
Deployment & Integration
Static hosting setup · Admin console configuration · CORS proxy provisioning.
Week 2
Testing & Optimisation
AI provider validation · Live token cost monitoring · Mobile UX QA.
Week 2
Launch & Embed
Shop button embedded across product pages · First live conversions tracked.
10
Licensing
Two ways to begin.
Choose the engagement model that matches how you want to operate. Both include the full platform — no feature tiering.
Option A
Fixed Fee + Subscription
Predictable. Yours to operate.
One-time deployment fee
+ monthly platform support
Pricing available on request.
Includes
- Full deployment + branding
- Two AI provider keys provisioned
- Continuous platform updates
- Email & video support
Recommended
Option B
Performance Commission
Aligned incentives. Pay only on what works.
Performance Model
+ commission on attributed sales
Commission rate available on request.
Includes
- Full deployment + hosting
- All AI provider costs absorbed
- HMAC-signed conversion tracking
- Real-time commission dashboard
11
Competitive Landscape
What others promise.
What we deliver.
| Capability | Generic SaaS VTO | Enterprise Platforms | Virtual Try On Pro |
|---|---|---|---|
| Photorealistic try-on | Limited | Yes | Yes — 6 engines |
| AI outfit recommendations | — | Add-on | Built-in (8 outfits) |
| Bilingual EN / FR (UI + AI) | UI only | UI only | Both |
| AI provider lock-in | Yes | Yes | None — you choose |
| Static deployment | — | Backend required | Yes — 3 files |
| Time to first deployment | Weeks | Months | 2 weeks |
| Performance pricing model | Subscription only | Enterprise license | Commission option |
12
Why Now
The window is
open right now.
01
AI image quality just crossed the threshold
Try-on results from gpt-image-1 and Gemini 2.5 are now indistinguishable from professional photography. The technical barrier that held this back for a decade — gone, in 2025.
02
Your competitors are still hesitating
The market leaders' AI try-on launches are still 6-18 months away. The retailers who deploy first capture customer data, build conversion baselines, and define category expectations.
03
Customer expectations have shifted permanently
Post-pandemic, online fashion shoppers expect to see themselves in the product. The brands that meet this expectation own the next decade of e-commerce.