Miros

Miros is an AI-powered product discovery engine designed specifically for e-commerce retailers in visually-driven categories such as fashion, furniture, and home decor. It addresses a fundamental challenge: shoppers often cannot articulate what they want using keywords, filters, or chatbots because their needs are visual, emotional, or contextual. Miros solves this by reading shopper intent directly from their browsing behavior — clicks, dwell time, scroll depth, mouse movements, and page interactions — rather than relying on explicit text searches. Within under 60 seconds of a shopper’s session, Miros analyzes behavioral signals and surfaces the most relevant products, effectively bypassing the limitations of traditional search and navigation. The platform works by deploying a lightweight JavaScript snippet on the retailer’s website. It then builds a real-time profile of each visitor’s preferences based on micro-interactions, and dynamically adjusts the product feed, search results, category pages, and recommendation widgets. This happens without requiring the shopper to type a single word. For retailers, this means that the 85% of fashion shoppers who never use the search bar, and the 90% of searches that are too vague to return accurate results, are no longer lost revenue opportunities. Instead, those shoppers are guided toward products that match their implicit desires. Miros integrates seamlessly with existing e-commerce stacks and can run randomized A/B split tests with session volumes ranging from 140,000 to 2 million per test. The company reports measurable outcomes: a +7% to +19% uplift in gross merchandise value (GMV), a +296% improvement in conversion rate compared to Algolia, and a +30% increase in repeat customer rates. These figures come from controlled, s