In the world of eCommerce, optimising the customer journey is key to both delivering a great user experience and boosting business outcomes. As consumers increasingly expect fast, intuitive, and personalised shopping experiences, brands need smart tools to stay competitive. Klevu offers a comprehensive platform that enhances search, product recommendations, and category merchandising using artificial intelligence to deliver better results across the board.
In this article, we’ll explore how Klevu’s AI-driven tools can improve your eCommerce strategy while delivering tangible business benefits.
On-site search is a critical component of the online shopping experience. According to IMRG, users who engage with site search convert at a much higher rate. While the average add-to-basket rate for all visitors sits at 13%, users who utilize site search achieve a 23% add-to-basket rate.
The moment a customer clicks into the search bar, Klevu’s AI gets to work, delivering relevant suggestions before the user even starts typing. This immediate engagement encourages exploration and helps reduce the friction that often occurs when users can't find what they're looking for.
Klevu’s search doesn’t just rely on simple keyword matching; it uses natural language processing (NLP) and machine learning to understand customer intent, even when queries are misspelt or incomplete. This results in faster, more accurate search results, which improves the overall user experience.
Key Benefits:
KLEVU CUSTOMER, ROOLEE ADOPTS NLP ON IT’S SITE, SHOWING THAT A SIMPLE SEARCH FOR “TRAINERS” WILL RETURN PRODUCTS SAVED AS “SNEAKERS” IN THE BACKEND.
In today’s eCommerce environment, personalisation is crucial. In a consumer survey of 2000 adults in the UK, YouGov found that 82% of shoppers are influenced by product recommendations on a website.
Klevu’s AI-driven recommendation engine helps businesses tailor the shopping experience to each customer by analysing search behaviour, clicks, and purchase history. This allows for real-time, personalised product suggestions that keep shoppers engaged and increase the likelihood of additional purchases.
Klevu’s ability to integrate personalised recommendations across the shopping journey—whether it’s on search results, category pages, or during checkout—means businesses can deliver a cohesive, personalised experience that resonates with each customer.
Key Benefits:
SOAK AND SLEEP USES “TRENDING PRODUCT” RECOMMENDATION BLOCKS ON THE HOMEPAGE TO DRIVE HIGHER CONVERSIONS.
Category merchandising is often a time-consuming process for eCommerce teams, but Klevu’s AI-powered tools make it more efficient. With built-in automation and customizable rules, businesses can manage product listings at scale without sacrificing control over the customer experience. Whether it's pinning key products to the top of category pages or reordering facets for better navigation, Klevu offers the flexibility to refine category merchandising based on specific goals.
This approach allows businesses to quickly adapt their product displays to changing customer preferences while keeping category pages clean, relevant, and easy to navigate.
Key Benefits:
SEASALT CORNWALL’S USE OF AUTOMATED MERCHANDISING HAS LED THEM TO SEE A 16% INCREASE IN SITE-WIDE ECOMMERCE CONVERSION RATE.
eCommerce success often requires testing and refinement, and Klevu’s platform supports this with A/B and multivariate testing capabilities. Businesses can experiment with different merchandising techniques, search configurations, and recommendation strategies to identify what works best for their shoppers. The insights gained from testing enable continuous improvement, ensuring that the shopping experience evolves in line with customer expectations.
Key Benefits:
Curious to find out how retailers using Klevu AI achieve 3 x industry standard conversion rates? Contact us here at Screen Pages to Schedule a demo to find out.
