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Overview
Nosto personalises online storefronts, recommendations and search using behavioural models trained per merchant. Founded in 2011 in Helsinki, it serves thousands of e-commerce brands across Europe and North America. The platform combines product data enrichment with real-time experience optimisation.
News
Fashion ecommerce and AI discovery: getting recommended is only half the job
A shopper opens ChatGPT. They type "waterproof outerwear for city commutes, under 200 euros, not black." They don't open Google. They don't visit four brand sites and compare. They ask once, read three recommendations, and click one. By the time they land
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Report
What is an ecommerce search engine? A guide for retailers
Every day, shoppers leave online stores because they can't find what they came for. And much of that lost revenue traces back to one piece of technology, the ecommerce search engine behind your search bar. When it understands what shoppers want, they buy.
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Report
Ecommerce personalized search explained: How AI delivers better search results
When someone types a vague query like "black boots" into your store, your ecommerce site's personalized search feature decides which of your thousands of products rise to the top. The system reads each shopper's intent and reorders results in real time, b
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What is semantic search and how it works
A shopper on your online store is looking for a jacket to wear on a winter hike. They type "warm jacket for winter hiking" into the search bar, and insulated, waterproof jackets show up on the results page. Even though none of the product titles include t
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Ecommerce product discovery: Help shoppers find more
Shoppers don't normally touch your search bar when they first land on your ecommerce website. They will scroll, click through categories, and follow recommendations instead, which is exactly why ecommerce product discovery matters as much as search does.
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