Miros records 1,899 monthly visits with -13.7% month-over-month growth and Contact for Pricing pricing. Stylitics records 33,722 monthly visits with -31.2% growth and Contact for Pricing pricing.
AI that knows what shoppers want — without asking them
Retail AI platform for AI outfitting, product imagery and real-time personalization
| Dimension / Metric | | |
|---|---|---|
| Official Domain | miros.ai | stylitics.com |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 1.9K (1,899) | 33.72K (33,722) |
| MoM Traffic Delta | -301 (-13.7%) | -15.3K (-31.2%) |
| Primary Market & Share | 🇬🇧 United Kingdom (93.7%) | 🇺🇸 United States (91.5%) |
| Direct Visits / mo | 748 | 9.32K |
| User Rating | 4.3 | 4.4 |
| Supported Platforms | Website | Website |
AI that knows what shoppers want — without asking them
Miros reads scroll velocity, clicks, dwell time and ignored items to build a real-time preference profile for each visitor, without asking them to describe what they want.
The AI extracts thousands of visual and semantic attributes per product image, so catalogues do not need manual tagging to work with the platform.
Contradictory signals are synthesised into a coherent profile that then powers search, browse, recommendations and shop-the-look together.
A single visual layer for ecommerce that lets shoppers discover products through images and behaviour rather than typed keywords.
Retail AI platform for AI outfitting, product imagery and real-time personalization
Shop the Look lets shoppers buy a full outfit from any styled image, while Complete the Look, Shop Similar and Styled for You deliver complementary product recommendations and personalized outfit suggestions based on individual shopper preferences.
Generates e-commerce-ready product imagery: flat-lay to model conversion with control over pose, crop and framing, background and scene swaps, AI colorway variants from a single reference shot, and output in formats for PDPs, social and campaign lookbooks.
Fills gaps in product catalogs at scale with structured, accurate attributes, then uses that metadata to power intent-driven on-site search and improve product discoverability.
End-to-end tools that tune conversion rate, average order value and units per transaction, backed by an enterprise data infrastructure that connects catalog intelligence, shopper signals and AI models.
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