Commerce Experience
Examples

With the latest enhancements to Autocomplete in Personalized Search, PranaHaus elevates the way shoppers explore their desktop site using:

Collection Suggestions: Shoppers can now be guided straight to curated collections the moment they start typing.
Popular Searches: PranaHaus can surface trending queries, like “Kerzen” (candles) or “Kalender” (calendars), offering inspiration from the get-go.

For PranaHaus, their Autocomplete is no longer just functional. It’s now a key part of the brand experience–more relevant, more intuitive, and designed to spark exploration.

And it’s not just improving experience. It’s improving performance too: click-through rate has increased to 22%.

Implementing the same filters, product type, size, colour, price range, and more, across both Search and Category pages creates a seamless shopping experience for busy parents. Shoppers can quickly narrow down results using familiar, intuitive options. This consistent navigation not only speeds up product discovery but also reduces bounce rates and boosts conversions. For internal teams, managing filters in one place also saves time and ensures a clean, cohesive site experience.

Nosto’s new Score Insights tool reveals precisely how product visibility is influenced across search, and category pages. It breaks down the impact of merchandising rules, keyword matches, and relevancy scoring with clear percentage scores per item. Merchants can explore detailed score components via overlays, enabling smarter rule tweaks, keyword field adjustments, and data enrichment—driving better alignment with business goals.

Perry Ellis uses Nosto’s Personalized Search to refine autocomplete suggestions in real time. When a new visitor searches for “linen,” results initially show dresswear. But as the shopper starts exploring short-sleeve casual shirts, the search adapts—elevating linen casual shirts in both autocomplete and full search results. Powered by behavioral data and semantic AI, this dynamic personalization helps surface tail-end products that better match evolving intent—boosting engagement, discovery, and conversions with every keystroke.

Personalize search results by applying weighted merchandising rules to color affinities. If a shopper consistently gravitates toward neutrals or bright tones, products in those colors will surface higher in their results—helping them find what they love, faster. These real-time, data-driven boosts improve product relevance and increase conversion, all while aligning with your merchandising strategy.

Deploy merchandising rules across Search, Category Merchandising, and Product Recommendations from a single UI—ensuring your business goals are reflected everywhere. Want to boost high-margin products, shift seasonal stock, or demote low-inventory items? Set it once, and see it applied consistently across the entire shopping journey. This unified approach helps you drive KPIs like AOV, sell-through rate, or inventory turnover—while saving your team valuable time and effort.