Solutions

Intelligent Feed Powers Everything

Intelligent Feed is a real-time intent extraction layer that sits underneath every discovery surface. It reads behavioural signals, builds a live preference profile per visitor, and feeds it to search, browse, recommendations, and shop-the-look simultaneously.

+296%
Conversion vs Algolia at Remix
+19%
GMV at momox
4.8x
Conversion at Ravensburger
2 wks
Integration, <1 eng. man-week

How it works

From Raw Signals to Personalised Discovery

Step 1

Understand Products

AI assigns thousands of visual and semantic attributes per image. "83% elegant, 77% evening, 63% cocktail, 43% open back." No manual tagging required.

Step 2

Decode Signals

Scroll velocity, click patterns, dwell time, ignored items - all interpreted per shopper in real time. Every interaction refines the model.

Step 3

Resolve Conflicts

Contradictory signals are synthesised into coherent preference profiles. The system knows the difference between browsing and buying intent.

Step 4

Feed Every Surface

One live intent profile powers search, browse, recommendations, and shop-the-look. All surfaces stay in sync with the shopper's evolving preferences.

Tech specs

Built for Scale

50-300ms
Response time
1B+
Items indexed
500M+
Signals processed per month
48
Languages supported
5
Patents
Top 1%
AI lab globally

Wordless Search

Product Discovery Without Words

Powered by Intelligent Feed

85% of shoppers never use the search bar. Wordless Search lets them discover products by simply browsing - no queries, no filters, no frustration.

  • - Real-time preference profiles built from behaviour
  • - Works from the very first visit - no login or history required
  • - 20-55% shopper adoption across deployments
  • - Covers the 85% who never search
+296%
Conversion vs Algolia
+10%
GMV Swap.com
+19%
GMV momox
4.8x
Conversion Ravensburger
Miros Wordless Search on Revolve

Discovery Bar

Your Search Bar + Real-Time Intent

Natural language search in 48 languages, enriched with the shopper's live preference profile. No manual tagging. Kills "0 results found."

  • - Natural language search in 48 languages
  • - Every query enriched with live preference profile
  • - No tagging required - AI reads product images
  • - Eliminates "0 results found" dead ends
Phone showing momox fashion Wordless Search interface
Miinto findability with Miros 7.8
Zalando findability 6.8
Farfetch findability 6.3

Inline Recommendations

Recommendations That Know the Shopper

Standard recommendations show "others also bought." Miros recommendations combine product visual similarity with the shopper's real-time preference profile. Every suggestion is personal and relevant from the first click.

momox fashion
+11% AOV

Higher-value items surfaced through preference-aware recommendations

Carousell
+31% "Buy Now"

1M-user A/B test on luxury bags

ON24
+30% repeat

30% more repeat customers across 24K tracked buyers

Shop The Look

Cross-Category, Personalised by Intent

AI-generated compositions that combine items across categories - styled to match the shopper's evolving preference profile. Not generic "complete the look" widgets, but genuinely personalised outfits and room sets.

+14%
Items/session at Ravensburger
Cross-cat
Items from multiple categories
Real-time
Adapts as preferences change
Woman choosing outfit at wardrobe

Find by Image

Photo Search + Behavioural Intent

Shoppers upload a photo and get visually similar products - ranked by their live preference profile, not just pixel similarity. The combination of visual matching and behavioural context makes results dramatically more relevant.

1B+
Items searchable
50-300ms
Response time
Person photographing shoes with phone for visual search

Style Collections

Collections Built on Real Demand

Merchandising teams spend weeks curating collections based on intuition. Style Collections are generated automatically from Intelligent Feed signals - reflecting what shoppers actually want, updated continuously as demand shifts.

See It With Your Products

Working demo on your catalog within days. Head-to-head vs your current search.

Average sales cycle: 36 days from demo to production.