Nosto

Nosto is an AI-powered product discovery and ecommerce personalization platform for online retailers that want to tailor search, merchandising, product recommendations, and shopping journeys around real customer behavior. Nosto is built for commerce, marketing, and merchandising teams that need more control than a generic recommendation widget can provide, while still relying on automation to personalize at scale. Product discovery is the center of the platform’s story. Instead of treating search, category pages, recommendations, and offers as separate experiences, the platform connects them through shopper signals, catalog data, and merchandising rules. That makes it useful for brands that want visitors to find relevant products faster and for teams that want to influence what gets surfaced without manually rebuilding every page. Merchandising teams use Nosto to balance automation with human judgment. AI can identify patterns in browsing, purchasing, and engagement, while merchandisers can guide outcomes using business goals such as promoting new arrivals, protecting margins, highlighting seasonal collections, or giving visibility to strategic inventory. This combination is especially important for retailers with large or frequently changing catalogs, where manual catalog management alone can become too slow. Nosto is best known for product recommendations that adapt to shopper intent across the customer journey, from homepage discovery to product pages, cart experiences, and post-purchase offers. These recommendations can support cross-sell, upsell, replenishment, and personalized browsing experiences without forcing every shopper through the same fixed path. For ecommerce teams focused on conversion rate optimization, the value is not just showing more products, but showing more relevant products at the moment they are most likely to matter. Search and category merchandising extend that same personalization logic into the parts of the store where shoppers actively explore. A customer searching for a specific product, browsing a collection, or filtering through a category can be met with results shaped by both relevance and commercial priorities. The platform gives teams a way to improve the path from intent to purchase while keeping control over ranking, boosting, exclusions, and campaign-led merchandising. Experimentation is another important part of how the tool fits into an ecommerce workflow. Personalization can be tested rather than assumed, which helps teams compare recommendation strategies, merchandising rules, layouts, or offer placements based on measurable outcomes. This makes the platform relevant not only to creative merchandising decisions, but also to performance-led teams that need evidence for what improves revenue, engagement, or average order value. For teams comparing Nosto alternatives, the platform is positioned as a commerce-specific personalization layer rather than a broad marketing automation suite. Its strength is the way it joins AI recommendations, personalized search, category control, and onsite experience optimization in one system for online retail. That focus makes it a strong fit for brands that have outgrown basic ecommerce personalization but do not want to hand over every merchandising decision to a black box. Nosto is ultimately a tool for making an online store feel more responsive to each shopper while preserving the retailer’s commercial strategy. It helps ecommerce teams move from static storefronts toward adaptive product discovery, where what a customer sees is shaped by behavior, intent, catalog context, and business rules. The result is a more controlled, data-informed approach to personalization that serves both the shopper experience and the store’s revenue goals.