Starting with a short quiz about favorite brands, sizes and other fashion preferences that appear on Glami’s home page, any customer can see a customized, organized and carefully selected product offering in just a few minutes, and Glami searches for them on hundreds of websites of online stores and websites of individual brands, they further claim and add that with an extensive and diverse selection of products in one place, Glami simplifies shopping and saves valuable time, and with the help of artificial intelligence, users will be able to see fashion recommendations and offers of their favorite brands, adapted to their personal fashion taste. The more customers use Glami, the more it will adapt to the individual’s style and taste, the company explains.
Nowadays, consumers are looking for more and more personalization and are slowly getting tired of the very wide choice between stores and fashion brands. Ultimately, they just want to find exactly what they like as soon as possible. Artificial intelligence is the most effective way to enable this, while increasing customer loyalty to those providers who can provide tailored, personalized solutions.
“Our mission has always been to gather and organize all fashion in one place so that everyone can discover it, or search it. Working to fulfill this mission, over the past few years we have realized that fashion taste is extremely personal, therefore gathering all fashion in one place, to save customers the time of searching hundreds of websites, is only the first part of our story. We have to try very hard to adapt the selection of fashion pieces to the style of each individual and show him only the relevant offer”, says Tomáš Hodboď, founder and CEO of Glami.
Fashion browsing remains an important part of the unique Glami experience. The goal is not only to show users exactly what they have in their wardrobe or on their mind, but actually to discover new fashion designers and brands. If there are other consumers who use the same things as a particular customer, that customer will receive recommendations for additional new products that those other consumers have liked. Glami offers this hyper-personalized shopping experience without compromising the ability to discover new brands and compare prices.
“With its machine learning technology, similar to other personalized platforms such as Spotify and Netflix, Glami will “read” the user’s taste, without them scrolling through a large catalog of products. If then, among all available products, we get the right combination of all products according to the user’s taste, he will stay with us and come back to discover more. This is our way to move towards hyper-personalization in fashion,” adds Tomáš Hodboď.
With the new feature, Glami aims to personalize the online shopping experience while providing sophisticated AI technology to small and large fashion brands connected to the platform, which they need more than ever. Glami provides technology that many smaller providers may not have the resources to invest in on their own.
Hyper-personalization helps weary shoppers navigate the vast array of online stores to make a buying decision faster, while improving key data on the seller’s side. Glami started recommending products to users based on their interactions two years ago and saw +10% revenue per session for users with personalized content. We noticed that the conversion rate doubled for product clicks with the size filter applied. We decided to encourage users to choose a size before browsing, or offer them a size they’ve already chosen before.
“Glami grew thanks to a wide catalog and a vision to offer all fashion for every user in one place. But if we manage to choose the right “fashion item” from the entire catalog of 15 million products and adapt it to the taste of each user, then we will help him navigate the huge offer of online stores and make a purchase decision faster. In this way, we will become a true hyper-personalized fashion platform for everyone,” emphasizes Tomáš Hodboď.