eCommerce Webinar Expert Series: A Dialogue Between Experts
YesPlz.AI, May 2022
Visual search is disrupting fashion eCommerce, creating new opportunities for retailers whose search is lacking. Powered by fashion AI, visual search has been embraced by major retailers like Shein--but what makes it so revolutionary?
In this webinar, we'll explore:
Clark Boyd is a digital strategy consultant and visual search expert. He works with early-stage AI startups and also lectures at business schools on innovation and strategy. Over the last 12 years, he has devised and implemented international marketing campaigns for brands including American Express, adidas, and General Motors. Clark's hi, tech. newsletter discusses the latest trends in retail, AI, and visual search each week.
Jiwon Hong is a founder and CEO of YesPlz AI. Her previous experience as a product manager at Samsung and Sony Music, working on search and recommendations, ignited her passion for innovating fashion search. Through years of extended interviews with shoppers, she learned that the gap between customer expectations and the reality of online fashion search is immense. By using deep learning technology, Jiwon is constantly running experiments about eCommerce tech and is excited to share her findings with the audience.
Jess is the content marketing lead at YesPlz.AI. She has experience working in marketing across technology areas, from artificial intelligence to blockchain. She writes about visual search in fashion eCommerce in the YesPlz Resource Center.
Despite the importance of good quality product discovery for eCommerce, there are still challenges that keep retailers from creating superior discovery experiences. In this article, we share 3 tips on how to use fashion AI to boost product discovery for eCommerce.
Dynamic filters separate a good eCommerce product discovery experience from a bad one. With shopper expectations at an all-time high, dynamic filtering’s benefits are clear: increased conversions and more intuitive experiences. But, creating dynamic filters can be a complex and laborious process. We explain how they can improve your eCommerce product discovery and how to implement them.
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