ChatHOW WE USE AI
Technology in Service of Personal Style
Fashion shopping is broken. You know exactly what you want — you've pinned it, screenshotted it, saved it to three mood boards — but converting that inspiration into an actual purchase? That's where it falls apart.
Standard search bars don't understand 'old money brunch in Dubai'. Category filters don't know what 'Hailey Bieber vibes' means. And no existing platform connects the dots between what you see on social media and what you can actually buy.
WE BUILT OUR AI TO FIX THAT.
The Vibe Framework
Traditional fashion platforms organise products by category: dresses, tops, skirts. But that's not how you think about style. You think in vibes.
Our AI vibe framework is a proprietary attribute system trained on real-world fashion language. Every product on Get The Fit is analysed and tagged across both hard attributes (category, colour, silhouette, length, fabric) and soft attributes — the vibes, occasions, style references and aesthetic markers that mirror how fashion is actually discussed on Instagram, Pinterest and TikTok.
This means when you search by vibe, you're not getting a keyword match. You're getting products that genuinely embody that aesthetic — because the AI understands the relationship between how you describe style and how garments actually look and feel.
Halberd
Cashmere Knit & Tailored Trouser
WHY IT MATCHES 'OLD MONEY'
The AI understands the relationship between a draped midi dress in champagne silk and the "quiet luxury" trend — even if neither the brand nor the product description ever uses that phrase.
Maison Verre
Bias-Cut Satin Gown
Nord Atelier
Cropped Leather Biker
Maison Verre
Puff-Sleeve Floral Midi
The Intent Layer
Most fashion search engines are literal. You type 'blue dress' and you get blue dresses. Our intent layer goes deeper.
Query
“what to wear to a gallery opening in London”
- Literal keyword match
- 3 results
- Intent-matched results
- 148 results
- 01Occasion
semi-formal evening, cultural, sophisticated
Not black tie, not casual — read from the event type.
- 02Climate
temperate, autumn
Location and season set layering weight.
- 03Aesthetic
artsy, understated, possibly avant-garde
Mapped against the vibe framework, not keywords.
- 04Price signal
mid-to-high based on context
Inferred from the setting, refined by your history.
- 05Silhouette
structured, elegant
Shape and proportion, matched to hard attributes.
It then matches these signals against our attribute framework to surface products that fit the intent — not just the keywords. The result is discovery that feels like talking to a friend who has impeccable taste and knows every brand in the catalogue.
Human Curation × Machine Intelligence
AI alone isn't enough. Fashion has nuance that algorithms struggle with — the difference between 'trendy' and 'try-hard,' or why a particular shade of green works for resort wear but not for a London winter wedding.
The Curators
Fashion-trained professionals who understand trends, cultural context and real customer behaviour. They enrich product information with structured data, continuously training and refining the model.
- Trend context — what is rising, peaking, over
- Cultural read — what "quiet luxury" means this season
- Fit and fabric notes from the sample
- Vibe tagging for every new arrival
The Model
The model applies that judgment across the entire catalogue at scale — scoring vibes, attributes and confidence so discovery stays sharp as inventory grows.
The AI handles scale. The curators handle taste. Together, they create a discovery experience that's both intelligent and human.
Feature Strip
Discovery is only half the problem. The other half is trust. You've found something you love from a brand you've never heard of — now what?
AI Chatbot
Ask in your own words. It reads occasion, climate and aesthetic, then answers with pieces you can buy.
Shop the Look
Styling intelligence pairs products into ready-to-buy outfits, removing the 'what goes with this?' hesitation.
Virtual Try-On
Renders products on your body so you can assess fit and proportion before committing.
Always Learning
Our AI isn't static. It learns from how customers search, what they save, how they build outfits and what they ultimately buy. Over time, the system becomes sharper — surfacing the right products faster, understanding vibe nuances more precisely, and anticipating what customers are looking for before they fully articulate it.
We don't sell your data. We use it to make your experience better.
The more you interact with Get The Fit, the more it feels like it was built specifically for you — because in a sense, it was.