We recently met the team from Klevu, a sophisticated search technology company.

Klevu is an NLP-based (natural language processing), self-learning e-commerce site search solution, designed for enterprise-level and mid-level online retailers. Founded in 2013, Klevu is used by over 3,000 merchants, from all over the world. Klevu’s primary objective is to enable online stores of all types and sizes to have the most advanced and powerful, yet affordable search solution.

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The majority of Klevu’s clients are using the Magento platform and they have an existing integration with both Magento 1 and Magento 2. Some of Klevu’s clients include Agent Provocateur, Oneills.com, Jack Daniels, Yamaha and Zimmermann.

Some of Klevu’s core features include:

Natural language processing – Klevu’s natural language processing capabilities represents one of their core benefits over their competitors, as they go deeper into understanding the query and the intent behind it. An example of this could be a user searching for “floral drapes” when a product is listed as “curtains with flowers”, Klevu would understand the similarity in the query and serve the correct products.

Automatic catalog enrichment – Another key feature of Klevu is around how they enrich the product catalog to add further context. Klevu take as much data around the product as possible and then add synonyms and additional adjectives and similar terms in order to match far more queries. This is one of the key features for stores with larger product catalogs and is a big part of how they handle synonyms and errors / mistakes.

Content search – Klevu also allows merchants to serve and promote content as part of the search function, allowing for queries like “delivery information” or “terms and conditions”, as well as enabling users to serve things like buying guides for more generic queries.

Self-learning capabilities – Another very important feature for users is Klevu’s ability to self-learn – meaning results are automatically optimised based on how users are engaging with results and purchasing behaviour.

Advanced merchandising and boosting – Klevu gives merchants far more control over which products, attributes and categories are being promoted for different queries, by providing boosting rules. Users can simply add different weighting scores against each product, category or attribute in order to boost their visibility.

Instant search layout – Klevu’s instant search box helps to improve the user journey and speed up the product discovery process, as can be seen below. When a user starts inputting a query, results are served via the instant search box far quicker than if they were to go to through to the results pages.

klevu2This example also shows how faceted search can be used to improve the search experience, which can also be used on the results page.

Fully customisable layout – The layout of the instant search box and the results page is completely flexible and the CSS can also be edited from the Klevu admin interface.

Advanced reporting suite – Klevu provide comprehensive reporting around your search function – including detail on the keywords being used, the location of searchers, the keywords driving sales and common errors that could be optimised.

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