Fashion artificial intelligence is taking the world by storm. In the blink of an eye, the industry is adapting and adopting new technologies. In this guide, we’ll give you a complete overview of the retail industry’s relationship with fashion AI.More
eCommerce retailers are struggling to find a system for managing the growing fashion taxonomy. We'll go over how AI can help resolve confusing fashion taxonomies.
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AI and retail tech
As eCommerce continues to grow worldwide, the use of artificial intelligence in eCommerce has far-reaching implications. From logistics to the fitting room, artificial intelligence has evolved from its early days in eCommerce. We explore in a guest post with Intellspot.
In the world of online retail, we’ve seen innovation in every sense, from virtual fitting rooms to AI-based trend forecasting. But, where does this leave product managers? In this guide, we break down the essentials of fashion AI for product managers.
Too many retailers are stuck with static, expensive product recommendation systems that aren’t delivering accurate, fashion-forward recommendations to customers. That’s why we decided to create the YesPlz Product Recommendation Engine.
By utilizing the Style Filter and YesPlz Product Recommendations, Lately and Kolon Mall were able to create the best-possible online shopping experience for customers.
It's hard to know what customers are really looking for, and the fashion taxonomy can complicate the search process even further. In this piece, we demystify the fashion taxonomy and explain how understanding customer search intentions can shape your eCommerce strategy.
With investors including initial investors PrimerSazze and igniteXL Ventures both based in Silicon Valley. The investment will be used to scale out the world’s first visual search filter that helps style online consumers through personalized AI technology