Solutions
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.
How it works
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
Wordless Search
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.
Discovery Bar
Natural language search in 48 languages, enriched with the shopper's live preference profile. No manual tagging. Kills "0 results found."
Inline Recommendations
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.
Higher-value items surfaced through preference-aware recommendations
1M-user A/B test on luxury bags
30% more repeat customers across 24K tracked buyers
Shop The Look
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.
Find by Image
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.
Style Collections
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.
Working demo on your catalog within days. Head-to-head vs your current search.
Average sales cycle: 36 days from demo to production.