It’s no secret that rapidly evolving consumer preferences present a perpetual challenge for brands and retailers that need to forecast accurately to stay in business. When consumers repel trends that are “so last season”, how does one draw patterns from the appropriate signals? Karen will discuss the characteristics of unstructured data that makes identifying and synthesizing fashion trends particularly challenging and how getting it right can be a competitive advantage.
Karen Moon is cofounder and CEO of Trendalytics, a style-centric visual data platform that measures consumer engagement with merchandise trends. Karen has more than 12 years of experience in retail and technology working with companies across the supply chain, including department stores, luxury retailers, and independent designers. Previously, she executed Goode Partners’s investment in SkullCandy and worked on the turnaround of a luxury specialty retaile; worked in Gap’s Corporate Strategy group, where she assessed acquisition and new retail concept opportunities such as Piperlime.com; and held positions at Goldman Sachs, where she executed over $1 billion in technology and media transactions. She’s been featured in the Wall Street Journal, Forbes, and other publications. Karen holds an MBA from Harvard Business School and a BA (summa cum laude) from UCLA. Her research at Harvard included studies in multichannel retailing, luxury diffusion brands, and supply chain innovation for emerging designers. Karen initially pursued a BA in fashion design at Otis College of Art & Design.