Menlo Park, Calif. – Women’s online shopping marketplace Poshmark is launching PoshMatch, a social merchandising engine that combines community curation and algorithmic technology to match shoppers to merchandise based on their social activity in the app. With PoshMatch, each shopper is greeted with their own real-time storefront built from their personal fashion shopping network and their style preferences.
The social merchandising engine constantly learns from the shopper to match them with new closets, merchandise and stylists. A new "Shop My Shares" tab allows users to browse and shop the items customers are personally styling from other closets. A dynamic, personalized shopping feed constantly updates to reflect what shoppers and their networks are styling, following and liking, alongside items that match the user’s unique style graph
Other features include real-time price drop notifications, real-time matching of social follows to brand preferences, and an "About Me" section in user profiles that showcases their changing brand affinities based on their style graph.
"The future of shopping is being built around social networks that foster relationships beyond buying and selling, where women have a platform to express their individual style, browse and help each other discover fashion together," said Manish Chandra, CEO and founder of Poshmark. "By measuring shoppers' preferences in real time and connecting them to fashion they desire and women just like them, Poshmark is building the social shopping destination of the future for millions of women across the country."
Poshmark's PoshMatch is now available within the latest update to the app and available to download for iOS. Poshmark plans to upgrade its Android App and its website with the new PoshMatch features in the near future.