AI That Knows What Shoppers Want

Shoppers can't describe what they're looking for. Miros reads their intent from behaviour and surfaces the right products in under 60 seconds.

+7-19%
GMV uplift
+296%
Conversion vs Algolia
+30%
Repeat customers

Randomised A/B split tests, 140K-2M sessions per test

Revolve Jomashop Carousell momox fashion Ravensburger

The problem

Your Shoppers Can't Find Your Products

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.

85%

of fashion shoppers never use the search bar

90%

of searches are too vague to return the right product

86%

of apparel shopping intent is visual - text covers 14%

The shift

Your Competitors Are Already Moving

TikTok and Shein won because their algorithms show shoppers what they want before they ask.

$1B-$4B
TikTok Shop in 4 years
$4B-$48B
Shein in 5 years
64%
Gen Z use TikTok over Google
4.8 to 8
Zalando pages/visit after deploying discovery AI

You can build this capability yourself. Or you can deploy it in 2 weeks with Miros.

The solution

Intelligent Feed

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 Solutions

1. 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

Measured Across 6 Retailers

Randomised A/B split tests, 140K-2M sessions per test

+296%
Conversion rate - Miros vs Algolia, 100K sessions
+7-19%
GMV - Across 5 retailers, 50/50 splits
+4-27%
AOV - Higher-value purchases
+30-56%
Repeat purchases - 24K buyers, 3 months
-36%
CAC - 100K-2M session attribution
+1.7x
LTV/CAC ratio - Full-adoption estimate

Don't Just Take Our Word for It

Case studies

Retailer Results

momox fashion

Germany, 2,000+ brands, 1M+ products

+19%
GMV
+11%
AOV
+10%
ARPU

"A strategic step that transforms our business."

Selim Yurguc, Senior Business Development

Ravensburger

140-year-old, 1,000+ SKUs

4.8x
Conversion
+14%
Items/session
3x
Holiday adoption

"Miros provides a way of presenting our wide range in a method consumers control."

Mark Sutherland, Head of Global DTC eCommerce

Carousell

Singapore luxury bags, 1M-user A/B test

+31%
"Buy Now" clicks
31%
GMV uplift

Rolled out across entire luxury range after outperforming existing algorithm.

ON24

Furniture, 24,000 buyers tracked

+30%
Repeat customers
2.3x
Repeat probability

"I forgot other stores existed."

ON24 shopper

Swap.com

US second-hand fashion, 200K+ items

+10%
GMV
+8%
AOV
+4.7%
Conversion

"Miros has higher conversion than our site search."

Gray King, CEO

PERCENTIL

Spain/France/Germany, after 3 failed vendors

+7%
GMV
+4%
AOV
+7%
Retention

"Not because the price is too high, but because they're not being found."

Lourdes Ferrer, CEO

Competitive

Why Not Google
or Algolia?

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.

Miros vs Algolia conversion +296%
Miros vs Google Vertex relevance 8.6 vs 5.2
Miinto findability with Miros 2.8 to 7.8

Above Zalando (6.8) and Farfetch (6.3)

Integration

Live in 2 Weeks

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

The More Visual the Product, the Bigger the Impact

CogX Best AI Product, Retail | The Europas Hottest eCommerce & Retail Tech | Business Intelligence Excellence in AI

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.

50-300ms
Response time
1B+
Items supported
500M+
Signals/month
5
Patents