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Miros

E-commerce visual search

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What Miros is

Miros is search infrastructure for retailers. It lets shoppers describe what they want in natural language or start from an image, and it aims to reduce empty result pages and manual tagging work while surfacing purchase intent.

What you can do with it

  • Add visual search to a catalogue
  • Interpret natural language intent
  • Reduce manual product tagging
  • Cut zero-result searches
  • Improve product discovery metrics

Who it is for

  • E-commerce platforms and retailers
  • Product search teams
  • Conversion rate specialists

What to watch out for

  • Results depend on catalogue data quality, image consistency and category structure; poor data produces poor search
  • Visual search changes how shoppers browse, so relevance and conversion need measuring before and after
  • Behavioural data collected for personalisation needs disclosure and, in many places, consent
  • Vendor claims about conversion improvement should be validated on your own traffic

Pros & cons

✓ What we like

  • Handles intent rather than exact keywords
  • Reduces tagging workload
  • Targets a real conversion problem

! What to watch out for

  • Depends heavily on catalogue quality
  • Personalisation data needs consent
  • Claims need your own testing

FAQ

What does it replace?

Keyword-only search and much of the manual tagging behind it.

What is needed for good results?

Clean product data, consistent imagery and sensible category structure.

What should I measure?

Relevance and conversion before and after launch on your own traffic.

Last reviewed: 2026-09-18

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