Industries
Miros works best where shoppers struggle to describe what they want in words. Fashion, furniture, footwear, decor, stock images, toys - the more visual the category, the bigger the revenue uplift.
Fashion
Fashion is the largest e-commerce category - 24% of all online retail. Yet 85% of fashion shoppers never use the search bar. Text-based discovery covers only 14% of what shoppers are looking for. Miros closes that gap.
Furniture
Furniture shoppers know what they want when they see it. They can't describe "mid-century modern with warm tones that matches my living room" in a search box. Miros infers it from behaviour.
Over 24K tracked buyers
"I forgot other stores existed."
ON24 shopper
Footwear
Carousell deployed Miros on their luxury bags and shoes category and ran a 1M-user A/B test. The results led to a full rollout across their entire luxury range.
Decor
Home decor is deeply personal and almost impossible to describe in keywords. Miros builds a per-visitor preference profile from browsing behaviour, surfacing items that match the shopper's evolving taste in real time.
Stock Images
Stock image libraries contain billions of items. Keyword tagging is expensive, inconsistent, and incomplete. Miros replaces keyword dependency with visual intent - shoppers find what they need by showing the system what they like.
Toys & Games
Ravensburger - a 140-year-old brand with 1,000+ SKUs - deployed Miros to help shoppers navigate their range of puzzles, games, and toys. The results exceeded every internal benchmark.
Working demo on your catalog within days. Head-to-head vs your current search.
Average sales cycle: 36 days from demo to production.
