Miros replaces the search bar with behavioral signal interpretation, reading clicks and dwell time to predict which products a shopper actually wants. Built for visually complex catalogs where buyers struggle to describe what they want in words, it suits fashion, furniture, and decor retailers whose customers browse rather than search. Merchandising and ecommerce leads deploy it via JavaScript to lift conversion on category pages where keyword search underperforms or shoppers abandon mid-discovery.
> what it does for ecommerce
- Infers buying intent from click and dwell patterns, not queries
- Surfaces visually similar products as shoppers browse category pages
- Deploys via JavaScript snippet without replatforming search infrastructure
- Targets visually-driven categories like fashion, furniture, and home decor
- Reduces reliance on shopper-typed keywords and structured product taxonomy
> Wordless Search key features
- Analyzes browsing behavior
- Recognizes buying intent
- Surfaces relevant products
- Quick JavaScript integration
- Improves customer engagement and conversion rates
- Ideal for visually complex products