Michael Kors first to debut Shopping Muse, the AI-powered shopping assistant from Dynamic Yield by Mastercard

Retailer Michael Kors is to adopt Shopping Muse, the next-generation retail assistant from Dynamic Yield, a Mastercard company. Michael Kors is the first retailer to make Shopping Muse and its advanced generative AI capabilities available to consumers through an integration on its website in the US.

Michael Kors says that offering the Shopping Muse integration comes at just the right time. Shopping Muse recreates the in-store experience by translating consumers’ colloquial language into tailored product recommendations. It means fashionable consumers can quickly find the perfect look that matches their inquiry as well as their demonstrated behaviour and preferences. This type of personalised approach can boost shopper satisfaction and increase revenue. In initial tests, Shopping Muse generated around a 15-20% higher conversion rate than traditional search queries.

Dynamic Yield CEO Ori Bauer said: “As a trailblazer in ready-to-wear fashion, Michael Kors is a perfect example of how to put our ready-to-use technology to use. Shopping Muse is helping translate the signature Michael Kors service to the digital world. It delivers a satisfying shopping experience as singular and impactful as the brand’s aesthetic.”

Following its launch in late 2023, early access to Shopping Muse was extended to fashion retailers, including Michael Kors. Shopping Muse is now also available to furniture retailers. Mastercard says that it best-in-class privacy safeguards adhere to a robust Privacy by Design framework while applying effective and responsible AI principles and standards. This commitment ensures that Shopping Muse enhances the shopping experience with the highest level of privacy and security for consumers.

“Michael Kors first to debut Shopping Muse, the AI-powered shopping assistant from Dynamic Yield by Mastercard” was originally created and published by Electronic Payments International, a GlobalData owned brand.

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