Klevu, the world’s leading provider of Artificial Intelligence-powered search and merchandising technology for digital commerce, is pleased to announce a new connector with commercetools’ headless ecommerce platform and is also now a certified commercetools ISV for search, merchandising, and product recommendations. Retailers that use Klevu’s full Product Discovery Platform achieve 37% more revenue per web session than those that don’t, while providing a more unified customer experience for shoppers. Klevu’s product discovery platform leverages Artificial Intelligence, Natural Language Processing, and user behavior analytics to connect shoppers with products they want.
Klevu is one of the most advanced search and merchandising solutions available as pre-integrated with commercetools and MACH architecture, which allows retailers to offer fast, and fully customized front-end experiences to shoppers, giving merchants the opportunity to monetize every customer touchpoint. Klevu fetches product and inventory data from commercetools in real-time, and can power the search and discovery of multiple digital frontend experiences, including mobile apps, ecommerce websites, in-store kiosks, campaign websites, and allows for flexibility to add new channels with ease.
“Klevu’s recent MACH Alliance approval and our strategic partnership with commercetools are evidence of Klevu’s enterprise foundation. Solution integrators and retailers that use Klevu and commercetools together allow retailers to offer fully personalized front-end product discovery experiences supported by critical back-end functions in real-time,” said Nilay Oza, CEO and Co-Founder, Klevu. “Those using the commercetools platform can now access Klevu’s advanced semantic language processing, and product ranking algorithm which helps ecommerce sites improve key metrics, such as increasing average order values, increasing margin, or improving conversion rates.”
Unlike other “garbage in garbage out” search technologies that simply index data already available in a product catalog, requiring people to manually configure the product discovery engine, Klevu’s machine learning capabilities enrich catalog data automatically, and develop an ongoing understanding of how shoppers are engaging with each front-end experience specifically to display select products in the order most likely to convert. Klevu AI expands its knowledge as it accumulates more information from purchases, clicks, and product ratings — giving the website the voice of the customer.
Christopher Holley, Global Director, ISV Partnerships at commercetools says, “I’m thrilled to welcome Klevu into the commercetools partner network. I am certain that solution integrators and merchants alike will enjoy testing the composable product discovery solutions that connect with commercetools. Legacy technology in product discovery is certainly behind us.”
Klevu is a headless ecommerce microservice that can replace on-site search, category merchandising, and product recommendations banners functionality. Klevu is API-first, cloud-native, and headless architecture. Klevu’s new SDK optimizes conversion by connecting back-end ecommerce systems such as checkout, inventory control and product information management, to front-end product displays shown in ways that drive sales.
Get started by scheduling a demo, looking at integration steps, or start building with the SDK on Github, NPM or read documentation.
Millions of shoppers use Klevu to discover products on their favorite ecommerce sites. Klevu’s proprietary technology increases conversion, reduces bounce rates and drives loyalty for more than 3,000 leading global brands, including Puma, Fred Perry, Paul Smith, Avon, Stussy, Pfaltzgraff, and Native. Klevu is an AI Search and Discovery Platform that leverages AI, Natural Language Processing and User Behavior Analytics to elevate the search experience, and automatically re-merchandise category listing pages and product recommendations. Retailers that use Klevu’s full Product Discovery Platform provide unparalleled customer experience and achieve 37% more revenue per web session than those that don’t.