Online shopping is usually easier and faster than in-store buying, but it still sucks up an incredible amount of time. You either have to know exactly what you’re looking for or lose hours browsing through pages of stuff you’ll never wear. Buying pre-owned goods is even tougher: I just a want a pair of riding boots in a size 7 that are new with tags. Is that really too much to ask?
Poshmark is an online marketplace that lets you browse and buy from other ladies’ closets, like a friendlier, clothing-focused eBay. The 3-year-old platform on Tuesday released a refreshed iOS app designed to make shopping even more social by showing you items you’ll want to buy.
The algorithm, an iOS-only feature called Poshmatch, will help you discover new pieces based on your personal style—brands you like, sizes, etc.—and items your friends have shared with you. If you’re on the hunt for a specific type of shoe, Poshmatch will use your searches to surface new items in your feed.
“Every time you open the app, it’s personalized to what you’re looking for,” said Poshmark founder and CEO Manish Chandra in an interview.
Before the update, Poshmark’s app showed you pieces of clothing that had been mostly recently added. There are some 6 million items from about 5,000 brands for sale at any point on Poshmark, and not all of the clothing has been previously worn. Even if you filtered those results by size, brand, and condition, that’s still a ton of clothes to sift through. Chandra compared the old Poshmark feed to a Twitter-like stream of real-time additions. The new feed will be more like Facebook, using your past actions on the site to determine what you see.
Poshmark’s new discovery tools also let you follow brands and shop your favorite users’ shared items—pieces they don’t plan to buy but love enough to share them (Poshmark’s version of a retweet).
The new algorithm is only on iOS for now, but you can expect an Android and Web update soon.
This story, "Poshmark takes on eBay, makes shopping more social with iOS update" was originally published by TechHive.