If you’re anything like me, you don’t have $2,000 to drop on a new outfit. However, there are many well-made duplicates at a fraction of the price…it’s just a matter of finding them. In the past, I’d see someone on my Instagram feed wearing a beautiful dress and wonder where they purchased it. In most cases, if the person isn’t a fashion or affiliate blogger, the brand can be tough to identify. That is, until now.
With most online shopping beginning with search, it’s no wonder why retailers like Asos, Express, Urban Outfitters and Neiman Marcus have implemented visual image search in-app.
Visual search removes roadblocks and decreases friction in the shopping experience, taking shoppers directly from inspiration to satisfaction. Because taking a photo of a product is the #1 most popular in-store mobile shopping activity, more and more retailers are implementing visual search as a way to engage customers and drive sales.
Here are a few examples of retailers that have implemented the technology well.
Screenshop’s app leverages artificial intelligence to identify shoppable items in a user’s screenshots. Once fashion-related photos are detected, the app will generate an assortment of clothing, footwear or accessory options. In addition to finding the same outfit, their custom catalogue will also offer up similar styles by many different brands at a wide range of price points.