Miros vs GymGenie

Miros plugs a visual intent layer into e-commerce storefronts so shoppers find products they cannot describe in words. Its Wordless Search product watches scroll speed, clicks, dwell time, and ignored items to build a live preference profile, then surfaces matching SKUs across search, browse, recommendations, and shop-the-look widgets.

Keyword search and chatbots assume shoppers can type what they want. Miros targets categories where most intent is visual, citing 86% apparel shopping intent as non-verbal and 85% of fashion shoppers skipping the search bar entirely. Retailers running head-to-head tests report up to 296% higher conversion versus Algolia and GMV lifts between 7% and 31% depending on category.

Fashion, footwear, furniture, decor, and second-hand marketplaces are the sweet spot. Integration takes about two weeks with less than one engineering man-week on the retailer side via JavaScript widgets or a GraphQL API, and Miros works alongside existing Algolia or Elasticsearch setups rather than replacing them.

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