Shoppers can't describe what they're looking for. Miros reads their intent from behaviour and surfaces the right products in under 60 seconds.
Randomised A/B split tests, 140K-2M sessions per test
The problem
Your products are there. Your shoppers want them. But keywords, filters, and chatbots all demand that shoppers describe what they want - and for fashion, furniture, and decor, they can't. That gap is where you're losing revenue.
of fashion shoppers never use the search bar
of searches are too vague to return the right product
of apparel shopping intent is visual - text covers 14%
The shift
TikTok and Shein won because their algorithms show shoppers what they want before they ask.
You can build this capability yourself. Or you can deploy it in 2 weeks with Miros.
The solution
The intent layer your discovery stack is missing
Miros is the only product discovery technology that works when shoppers can't describe what they want. Our AI reads behavioural signals and builds a real-time preference profile per visitor. It powers every discovery surface on your site simultaneously.
Explore Solutions1. Understand products
AI extracts thousands of visual and semantic attributes per image. No tagging.
2. Decode intent
Scroll velocity, clicks, dwell time, ignored items - interpreted per shopper in real time.
3. Resolve conflicts
Contradictory signals synthesised into coherent preference profiles.
4. Feed every surface
One intent profile powers search, browse, recommendations, and shop-the-look.
Impact
Randomised A/B split tests, 140K-2M sessions per test
Case studies
Germany, 2,000+ brands, 1M+ products
"A strategic step that transforms our business."
Selim Yurguc, Senior Business Development
140-year-old, 1,000+ SKUs
"Miros provides a way of presenting our wide range in a method consumers control."
Mark Sutherland, Head of Global DTC eCommerce
Singapore luxury bags, 1M-user A/B test
Rolled out across entire luxury range after outperforming existing algorithm.
ON24
Furniture, 24,000 buyers tracked
"I forgot other stores existed."
ON24 shopper
Swap.com
US second-hand fashion, 200K+ items
"Miros has higher conversion than our site search."
Gray King, CEO
PERCENTIL
Spain/France/Germany, after 3 failed vendors
"Not because the price is too high, but because they're not being found."
Lourdes Ferrer, CEO
Competitive
Google Vertex, Algolia, Amazon Rufus, ChatGPT - all require shoppers to describe what they want. For visual categories where 85% of intent is non-verbal, that misses most of the opportunity.
Miros infers intent from behaviour, not prompts.
Works alongside Algolia, Elasticsearch, or whatever you run today.
Above Zalando (6.8) and Farfetch (6.3)
Integration
We build a working demo on your catalog before you commit.
JS widgets or GraphQL API
Headless and traditional
<1 eng. man-week
On your side
No tagging
AI reads product images
Modular
Start with one, expand later
Industries
Best AI Product, Retail
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Hottest eCommerce & Retail Tech
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Excellence in AI
Working demo on your catalog within days. Head-to-head vs your current search.
Average sales cycle: 36 days from demo to production.