AI stylist
for fashion
retail.

A personal AI stylist for your entire catalog.
Drive revenue with complete looks.
One-click dynamic catalog personalization.

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How it works

From inspiration
to checkout.

Four steps. The widget lives inside your store, reads each product, and assembles complete outfits in your brand's DNA.

01
01

Customer gives a signal.

The shopper uploads just a reference photo.

No long forms, no quizzes. One visual reference and the styling begins.

Customer input
Inspiration
Reference look detected
02
02

Your catalog gets fully visualized.

We process every product in your stock: silhouette, texture, palette, season, and style codes. Each SKU becomes searchable by feel, not just by category.

Setup happens once. Updates run automatically as your assortment changes.

Catalog analysis
Products tagged0%
03
03

The shopper sees a look, not a list.

The widget appears inside the product card and shows complete outfits and “similar items”. The customer doesn't leave to find combinations elsewhere. Everything is already inside your store.

Brand identity stays intact: the AI-stylist adapts to your colors, typography, and visual rules.

Product page · live●●●
04
04

The offer lands on target.

The customer finds the look and takes several pieces at once. They return because the store understood their taste.

*Based on industry data on personalization and AI in fashion e-commerce.

+15%*
Conversion uplift
+20%*
Average order value
1
Day to integrate
Frequently asked

Questions, answered.

01

How does the AI stylist increase average order value?

The widget shows the customer multiple complete looks from your catalog. Instead of one item, they see a set of 12-25 pieces, configurable. AOV rises through cross-sell, clients buy the outfit, not the piece.

02

How long does integration take?

One tag in your site code, 10 minutes for your developer. We process the catalog on our side.

03

How does catalog personalization work?

The model is trained on a curated set of over 100,000 fashion images. The customer uploads a photo or picks a product, the system matches complementary pieces from your live stock.

04

Does it work for multi-brand stores?

Yes. The algorithm handles any catalog, single brand, multi-brand, resale. The bigger the SKU count, the sharper the recommendations.

05

How does it help with slow-moving stock?

The system surfaces underexposed SKUs by including them in relevant outfits, pieces that were invisible before start selling through styling combinations.

Get started

A demo on your
catalog, in one
day.

Leave your corporate email and we'll prepare a private demo built on your products.

Mail
trendloupecorp@gmail.com
Whatsapp
+49 152 387 07 318
Telegram
@trendloupe