What is the core problem Miros solves for e-commerce retailers?
Miros addresses the issue where shoppers cannot easily describe what they want, especially for visual products like fashion and furniture. Its AI reads behavioral signals to build real-time preference profiles, helping products surface without keywords. This gap in product discovery is identified as a key source of lost revenue.
Who is the target audience for the Miros platform?
The platform is designed for e-commerce retailers, particularly in fashion, furniture, and decor, whose shoppers struggle with traditional text-based search. It is used by product and eCommerce leaders, as evidenced by quotes from a VP of Product and a Head of Global DTC eCommerce.
What are the main features or components of the Miros solution?
Miros offers an 'Intelligent Feed' that acts as an intent layer for discovery. Its core technology includes understanding products by extracting visual attributes, decoding shopper intent in real-time, synthesizing conflicting signals, and feeding this preference profile to all site surfaces like search, browse, and recommendations.
What measurable business impact has Miros demonstrated?
Measured A/B split tests across retailers show a +296% conversion rate lift versus Algolia, +7-19% GMV increase, +4-27% higher Average Order Value, and +30-56% more repeat purchases over a 3-month period.
How does Miros position itself against keyword-based search tools like Algolia?
Miros positions itself as the only product discovery technology that works when shoppers can't describe what they want, contrasting it with tools that require shoppers to use keywords, filters, or chatbots. A direct comparison cited is a +296% conversion rate for Miros versus Algolia in a 100K session test.
What is Miros?
Miros is an AI product discovery platform for e-commerce that analyzes shopper behavior to personalize search, recommendations, and product feeds, directly aiming to drive sales and conversion.