Search that understands intent

Shoppers do not always search the way your product data is written. They describe needs, use different words, make typos, switch between languages, or search with broad phrases like “jacket for rainy bike rides” or “gift for a new runner”.

Relewise combines semantic search with real-time shopper behavior, product context, and language-aware search logic. That means results are based on both what the shopper typed and what they are most likely trying to find.

The result is a search experience that feels more natural for shoppers and more commercially relevant for your business.

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Results that adapt to intent

Relewise updates relevance as shoppers click, search, browse, and buy.

Search that keeps shoppers moving

Search should feel instant. Relewise returns requests in under 100 ms and continuously refreshes rankings, helping shoppers move from search to product faster.

Built for every catalog and channel

Search can adapt to your catalog, markets, and channels while keeping products, content, and categories personalized consistently.

Intent-aware search

Relewise goes beyond matching keywords by understanding context. Our engine considers behavior like cart contents, filters, and browsing history to show the most relevant items first. Two shoppers can search for the same term but see different results based on their intent. This makes discovery faster and increases the chance of conversion.

Predictive search & autocomplete

As shoppers type, Relewise predicts what they are looking for with suggestions that appear in under 50 milliseconds. These include products, categories, and content, all ranked by live demand and shopper behavior. Predictive search reduces errors and “no results” moments while guiding shoppers to what they want faster. The result is easier navigation and a quicker path to checkout.

Semantic search across languages

Relewise uses semantic search and language-aware AI to understand what shoppers mean across markets and languages. It handles synonyms, typos, compound words, and natural phrases, so customers can search in their own words and still find the right products.

Self-learning models

Our models learn from every interaction and improve continuously. Relewise updates rankings in real time, using both recent and historical behavior, so new products and emerging trends can surface quickly without waiting for nightly reindexing. Merchants do not need to manually tune every result or retrain models to keep search relevant; the AI adjusts relevance automatically. That means less manual work, lower maintenance, and a system that gets smarter every day.

Search merchandising

Tailor search results to fit the business rules you define. Provide relevant results while highlighting products by popularity, higher profit margins, specific brands, etc. by using the Relewise merchandising engine with search.

How it all works together

Relewise Search uses machine learning to combine text relevance with real-time shopper behavior. Language-aware analyzers handle typos, synonyms and compound words so queries always match. Every click and purchase updates rankings instantly, letting new products and trends surface right away. The result is a self-learning engine that delivers fast, accurate results without manual upkeep.

Frequently asked questions about Relewise Search

We're an enterprise - how difficult is it to set up Relewise search?

Unlike many enterprise search platforms, Relewise doesn’t require heavy configuration or complex indexing. It comes with smart defaults and ready-to-use indexes, so you can start delivering personalized results with minimal setup. From day one, the engine adapts to your catalog and user behavior, making it personalization-first without extra effort on your side.

Will personalized search override my merchandising priorities?

No. The Relewise personalization engine can be guided by boost, bury, pin and filter rules, so you can enforce strategy while still benefiting from AI-driven ranking. This way you get the best of both worlds: smart personalization and business control.

Does semantic search replace keyword search?

No. Relewise combines semantic understanding with exact keyword matching, typo handling, synonyms, product data, and shopper behavior. That means shoppers can find products whether they search by product number, exact name, or a more natural phrase.

Is Relewise Personalized Search GDPR compliant?

Yes. Relewise fully supports GDPR requirements, including anonymous tracking, temporary user IDs, and integrations with consent managers. We are also ISAE 3000 audited, giving you independent assurance that data is handled responsibly and securely.

How early does personalized search apply?

Personalization with Relewise starts at query execution, not after. That means results are ranked with user behavior and context already factored in, instead of being re-ordered later. The outcome is faster, more accurate search results that reflect both intent and relevance from the very first step.

Do we need to scale servers ourselves?

No - scaling is handled for you. The system can resize servers in under a minute if traffic spikes, so your search performance stays stable without manual intervention.