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Mastercard has launched “Shopping Muse,” an innovative generative AI-powered shopping assistant developed by its personalization platform, Dynamic Yield. Designed to revolutionize the online shopping experience, Shopping Muse interprets natural language queries to provide personalized product recommendations, aiming to replicate the nuanced assistance of in-store shopping.
Shopping Muse enables consumers to use everyday language—such as “beach formal” or “cottagecore”—to search for products, delivering tailored suggestions that align with individual preferences and shopping behaviors. The tool leverages contextual and behavioral insights, including browsing history and purchase patterns, to refine recommendations over time. Additionally, it incorporates advanced image recognition capabilities, allowing users to find visually similar products even without specific descriptors.
“Solutions like Shopping Muse are the next natural step in the retail revolution and are core to putting the consumer back at the center of the journey,” said Raj Seshadri, President of Data & Services at Mastercard. “At Mastercard, we’re putting technology and machine learning to work to deliver better outcomes for both brand and consumer.”
Michael Kors was the first retailer to integrate Shopping Muse into its U.S. website, offering customers an enhanced, personalized shopping experience. Initial tests indicated a 15-20% increase in conversion rates compared to traditional search methods
Mastercard’s introduction of Shopping Muse reflects a broader commitment to leveraging AI and data analytics to enhance consumer engagement and streamline the shopping process across various retail sectors.
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