RRecommendation.AI Personalized discovery
Fashion discovery, made personal

Every style.
One thought away.

Turn a crowded fashion catalog into an intuitive shopping experience that understands taste, occasion, fit and intent.

104k+ styles indexed118ms median response24/7 discovery
Visual style intelligence
From endless scrolling to the outfit that feels right.
Intent detected

“Relaxed linen look for a summer brunch”

98%
Linen co-ord set
Perfect style match
See the difference

Shop by feeling,
not filter.

Describe the look, occasion or vibe. The recommendations update instantly.

Traditional filtersExact attributes
Too broad

Style, mood and occasion disappear inside rigid filters.

Recommendation.AI118ms
Relaxed Linen Co-ord Set
Natural sand · 8 sizes available
Style confidence98.4%
+15%

Conversion lift

<150ms

Global latency

100k+

Styles per catalog

99.99%

Enterprise SLA

The intelligence layer

Built for catalogs
made to inspire.

Style, color, fit and occasion belong in one intuitive discovery experience—not a maze of filters.

01 / UNDERSTAND

Style intelligence

Understand silhouette, texture, color and aesthetic—even for newly added styles.

02 / DISCOVER

Natural language

Let shoppers describe a look, mood or occasion in the words they naturally use.

03 / PERSONALIZE

Adaptive ranking

Bring the most relevant styles forward using context, behavior and preference.

12-week launch plan

Proof before
full deployment.

Test across 50,000+ styles without interrupting your live storefront.

WEEKS 01–03

Map the catalog

Ingest styles, attributes and merchandising data.

WEEKS 04–08

Run in shadow mode

Benchmark relevance against real shopping intent.

WEEKS 09–12

Measure the lift

Route live traffic and audit conversion impact.

Your catalog has their next favorite. Help them find it.

Pilot application

Let’s test your catalog.

Tell us where to reach you. A solution architect will follow up within one business day.