SAN FRANCISCO--(BUSINESS WIRE)--Algolia, the world’s only end-to-end AI Search and Discovery platform, today announced that Everlane, a retail clothing company that promotes sustainability and transparency at every level, selected and is using Algolia NeuralSearch™. With this implementation, Everlane is leveraging the power of vector and keyword search with end-to-end AI processing on every search query, ensuring their customers experience blazing fast, relevant results. Using Algolia’s AI Search, Everlane achieved a 45% decrease in the return of “no results,” a 5% increase in conversions, and an 8% increase in its click-through rate.
Speed is important. According to a Deloitte Digital commissioned report that analyzed mobile site data, a seemingly negligible 0.1 second improvement in site speed generated an 8.4% increase in conversions and a 9.2% increase in average order value among retail consumers.
"No matter what the shopper is seeking, we want them to find their choice quickly and easily – and that is what Algolia helps us do. We want to deliver a distinctive, frictionless customer experience efficiently across our digital channels,” said Rachel Maxwell, Senior Manager, Digital Merchandising at Everlane. “Algolia helped us boost our performance while reducing the engineering lift across the merchandising team. This has helped us to optimize the search function on our site.”
“By using Algolia's AI Search it has simplified data cleanup and manual synonym maintenance, and meant that our lean inhouse site merchandising team can focus on other priorities. Algolia’s technology has helped to streamline operations and allow our teams to focus on what truly matters—our customers,” added Maxwell. “Algolia's AI Search platform brings a treasure trove of advanced features to the table, enabling Everlane to craft search experiences that feel intuitive and natural.”
Through the prowess of natural language understanding, automatic vectorization, adaptive learning, and ingenious query suggestions, Everlane's eCommerce platform now effortlessly deciphers even the most complex, long tail queries. These are the queries that reflect the way people speak and think—conversational, dynamic, and real. In fact, they constitute a staggering 55% of searches.
“Gone are the days of grappling with unwieldy data cleanup and laborious manual synonym maintenance. The introduction of Algolia’s AI Search has orchestrated a paradigm shift, liberating Everlane's lean merchandising team from this time-consuming ordeal. It's a testament to how Algolia’s technology, when wielded with precision, can streamline operations and allow teams to focus on what truly matters—nurturing and delighting customers,” added Maxwell.
“We are thrilled to partner with Everlane, a trailblazer in the fashion industry. Their commitment to sustainability, creativity, and excellence aligns seamlessly with our own ethos of pushing boundaries and delivering unparalleled customer experiences,” said Bernadette Nixon, CEO, Algolia. “Everlane's voyage with Algolia AI Search is not just a tech upgrade; it's an embrace of a future where retail seamlessly blends with technology, making every search a delightful journey for the discerning shopper.”
To learn more about how Algolia helped Everlane enhance its customer experience, explore the full case study. To schedule a demo of Algolia’s platform, visit algolia.com/demorequest.
About Algolia
Algolia is the world’s only end-to-end AI Search and Discovery platform. Our engineers invented a breakthrough use of AI to create exponentially better search & discovery. Algolia’s proprietary NeuralSearch tech combines vector-based natural language processing & keyword matching in a single API. Algolia powers 1.75 trillion search requests a year or more than 30 billion a week enabling more than 17,000 customers in 150+ countries to build blazing-fast and relevant search and discovery experiences for their in-app users and/or online visitors using any web, mobile or voice device – by surfacing the desired content instantly and at scale. www.algolia.com
