“We hope that by attracting first the very fashion-forward, trendsetting crowd, we can then move more mainstream from there, but it’s much more difficult to go the other way round,” said Bunbury. first and then hopes to move into the U.S. The startup’s go-to-market strategy targets users aged 18 to 34, “very digital, native mobile-first shoppers” who are starting to define their personal style as they accrue disposable income. The startup will use those funds to build out additional features on the app and push for a full-scale launch.īlend has already signed on over 250 retailers, including Net-a-Porter, a luxury retailer. After raising angel investment in April, Blend is now on the hunt to secure investors for its seed round. At the event, the startup launched its MVP - an app that will slowly open to the 2,000 users on Blend’s waiting list. “When trends are changing relatively quickly, and people’s style does change over the course of their lives, it doesn’t stay relevant for a user to have such historic recommendations.”īlend participated in TechCrunch Disrupt 2023 as one of the Startup Battlefield 200 companies. ![]() ![]() “The vast majority of retailers do absolutely no personalization, and in the instances when they do, they only personalize according to historic purchase data,” Blend co-founder Jemima Bunbury told TechCrunch. But anyone who has found themselves two hours deep into a fashion rabbit hole, with nothing to show for it but 15 open tabs, four full shopping carts, an earful of YouTube clothing haul reviews and the gnawing anxiety of the overwhelmed, shopping online can feel like a chore.Įnter Blend, a U.K.-based startup that is using AI to cut through the noise and help shoppers find personalized product recommendations to suit their style, budget and size. Shopping for clothing online has liberated us from the need to brave the endless aisles, fluorescent lights and sale-hungry crowds of the brick-and-mortar retail inferno.
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