Klevu has been positioned in the inaugural 2024 Gartner® Magic Quadrant™ for Search and Product Discovery

Klevu has been positioned in the inaugural 2024 Gartner® Magic Quadrant™ for Search and Product Discovery

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NLP for Ecommerce
Make your customers feel deeply understood, at scale

Klevu has the most human-centric based NLP, specifically designed for ecommerce, and one of the most comprehensive, included in Gartner’s Market Guide for Digital Commerce Product Discovery.

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Trusted by the world’s leading brands and retailers

Natural Language Understanding
Understanding human-machine interactions

Connect shoppers with products they want to buy. Sharing shopper intent data across your product discovery journey delivers unparalleled customer experience and a healthy conversion boost.

Understanding human machine interactions
State of the art NLP technology

Natural Language Processing
State-of-the-art NLP technology

Klevu encompasses linguistics and computer science to make natural human language understandable to machines. By parsing search queries and content, Klevu understands intent and meaning and automatically presents the most relevant results.

Klevu AI
How Klevu AI works

Klevu AI encompasses linguistics and continuous machine learning to improve online shopping experiences. Klevu shines in a crowded search & product discovery market because of the comprehensiveness of the AI offering, and how it impacts user experience.

How Klevu AI Works

Klevu AI Lab
Continuous experimentation in the Klevu AI Lab

We have an in-house AI lab that consists of research scientists that continue to experiment with linguistics and machine learning to find the most cutting-edge use cases and technology that we then apply to our existing products. We are constantly innovating new ideas in visual discovery, natural language processing for ecommece, conversational commerce, and predictive analytics.

Continuous experimentation in the Klevu AI Lab

Klevu NLP Features
Everything you need to create great search experiences

Power user-friendly personalized product discovery through search with easy-to-use controls, automation, and a fully composable front end.

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Product Data Enrichment

Without any prior learning, automatically and manually add synonyms, normalize measurements and index that enriched data in real-time, and expand your product data by 2-3x without any manual work.

Semantic Query Processing

Klevu processes and understands what the shopper means when they search, considering the context of the store, to improve the quality of the results.

Word Function Recognition

No matter the length or the complexity of the query, Klevu processes and understands what the shopper means when they search, including articles, stop words, inflections, and price points.

Price Parsing

Klevu comprehends price relativity from a search query and can pre-filter search results.

Attribute Normalization

Klevu automatically normalizes and enriches a product catalog, including age, gender, sizes, weights and measures. This allows shoppers to make very specific searches that return results automatically, without manual inputs.


Klevu can break complex words into their simplest forms to better understand shoppers’ queries.

Klevu can index and show non-product data in the search results. This could be anything from how-to guides, customer service pages, articles, blog content, look books and more.

Typo Tolerance

Typos in search terms? No problem! Klevu will automatically handle typos and show relevant results.

Stop Words

Klevu identifies and understands stop words to get to the heart of the buyer’s intent. (eg. “iPhone case” vs “iPhone with the case”)


Klevu AI understands what your shoppers mean even if they use words with inflections.

Multilingual Search Capabilities
Localize at scale with Klevu’s multilingual capabilities

Klevu uses advanced natural language processing and localized machine learning to determine what shoppers want in almost any language. Those language and cultural preferences are nuanced and impossible to get right with manual merchandising. Klevu AI automatically learns from local shoppers to display products most likely to convert specifically in each region.

Case Study: Online Home Shop
Online Home Shop: Driving Home Results with Personalised Search


Case Study: Topps Tiles
Topps Tiles: The Search for A Discovery Tool


Case Study: Marquis Wine Cellars
Crafting a Superior Wine Discovery Experience for Marquis Wine Cellars

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Case Study: GTSE
Increasing revenue from search for B2B ecommerce business, GTSE

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Case Study: Eurokangas
How an omnichannel retailer doubled click through rates online in 2-weeks with Klevu Discovery Suite

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Support Services
Technology that works and people who care

You don’t have to do it alone. Ensure you have a support team by your side that is highly responsive, knowledgeable, and hard-working.

Client Testimonials
Here’s why retailers Heart Icon Klevu

“We’ve found that using Klevu AI increases AOV, on site customer experience, CLV, and ROAS.”

Tim Ryan
Tim Ryan Director of Digital at Seasalt Cornwall

“Now with Klevu, we have time and resources available to focus on scaling the business.”

Rachael Maine
Rachael Maine Digital Product Owner at Avon

“Klevu really works out of the box. We have been impressed by the flexibility of the APIs – straightforward, well documented, stable and working as advertised.”

Jakub Halva
Jakub Halva Head of Operations at Tom & Co

“Klevu has allowed us to bring a feature set to our client that allows their customers to shop more efficiently.”

Andrew Potkewitz
Andrew Potkewitz Group Director at Overdose

Let’s grow together

Take the next step, tell us your goals, and let us exceed them together.