Valentino pumps in red? Check. Stella McCartney lace scalloped dress? Check. People can get these high-fashion items and more from Lyst Ltd., which delivers a simpler, more engaging, and personalized shopping experience that includes items from more than 11,000 designers and stores.
Founded in 2011, Lyst is a fast-growing technology platform that is revolutionizing the way people shop for fashion. It connects millions of shoppers globally with the world’s leading fashion designers and stores—from Balenciaga to Zimmermann, Alice + Olivia to Zadig & Voltaire.
At the heart of Lyst is a massive data aggregator that lists millions of fashion products. “One of the biggest features of our product is the universal cart which allows you to order from many different retailers at the click of a single button,” says Igor Serko, lead operations engineer at Lyst. In addition, Lyst helps people discover and follow their favorite fashion brands.
From reactive to proactive
Since its founding, Lyst has enjoyed astounding growth. Today, the platform sees 60 million shoppers a year—and they expect a fast, easy shopping experience.
However, when Lyst first began, it didn’t have a way to monitor application performance for its main platform. “We relied on parsing website logs and trying to identify requests that were taking too long,” says Serko. “We didn’t have a way to be more proactive about identifying and fixing performance issues.”
Then the company turned to the New Relic Digital Intelligence Platform for end-to-end visibility into the performance, customer experience, and business success of its fashion search engine platform. “As soon as we began using New Relic, all of our performance issues were suddenly very visible,” says Serko. “We could then go down the list and mitigate or fix them to improve performance and customer experience.”