AI app
Miros
AI product discovery for retailers that reads shopper behaviour signals to surface relevant products across search, browse and recommendation surfaces.
Listing data refreshed Built from public product pages and documentation. SourcesClaim this listing
ecommerceguide summary
Miros is AI product discovery for retailers. Its AI extracts visual and semantic attributes from product images without manual tagging, then reads behavioural signals such as scroll velocity, clicks, dwell time and ignored items to build a real-time preference profile per visitor. That profile feeds search, browse, recommendations and shop-the-look. Retailers deploy it through JavaScript widgets or a GraphQL API on headless or traditional stacks, alongside existing search such as Algolia or Elasticsearch.
Why it stands out
Miros infers intent from browsing behaviour rather than typed queries, and runs alongside an existing search engine.
What Miros does
ecommerceguide editorial- Reads scroll velocity, clicks, dwell time and ignored items per shopper
- AI extracts visual and semantic attributes from images, no tagging
- One intent profile powers search, browse, recommendations and shop-the-look
- Deploys via JavaScript widgets or GraphQL API, headless or traditional
- Runs alongside existing search such as Algolia or Elasticsearch
- Vendor cites 50 to 300ms response times and support for 1B+ items
- Vendor targets visual categories: fashion, furniture, footwear and decor
Miros pricing
From the vendorAs published by the vendor. Prices change, so confirm on the vendor's site before buying.
- Model
- Paid
Sources
ecommerceguide profiles are built from public product information and written for ecommerce teams. We do not test products, and paying never changes where a listing ranks.
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