Advanced generative AI tool by Mastercard reimagines the search and discovery of products in retailers’ digital catalogues.
Dynamic Yield, a Mastercard personalization platform and decision engine company, has launched Shopping Muse, a virtual shopping assistant based on generative artificial intelligence (AI).
The chatbot translates consumers’ colloquial language requests into tailored product recommendations. Personalized recommendations reflect an individual consumer’s unique profile, purchase history, intent, and affinity. Moreover, the AI tool goes further to suggest matching products and accessories to complement the items you’re looking for.
Consumers can also get inspiration from Shopping Muse, exploring trending looks, dress codes, and items suitable for a certain style or aesthetic like ‘cottagecore’ or ‘beach formal’.
Even if you don’t know the exact term for the style or product you are searching for, Shopping Muse can use integrated advanced image recognition tools, to recommend relevant products based on visual similarities to others.
Shopping Muse learns over time, using the context of your multiple conversations to deliver results that perfectly match the most unique queries. Leveraging Dynamic Yield’s deep personalization capabilities, the tool combines contextual and behavioural insights for its recommendations.
To find a perfect match, the AI bot uses the retailer’s keywords, visual cues, and the consumer’s profile data. A shopper’s affinity is estimated based on session browsing history or past purchases.
“Personalization gives people the shopping experiences they want, and AI-driven innovation is the key to unlocking immersive and tailored online shopping. By harnessing the power of generative AI in Shopping Muse, we’re meeting the consumer’s standards and making shopping smarter and more seamless than ever.”
Ori Bauer, CEO of Dynamic Yield by Mastercard
Embracing innovative technology is crucial to maintaining competitiveness in retail. Mastercard data reveals that more than 25% of retailers are currently using generative AI solutions, while another 13% are planning to adopt AI in retail infrastructure within the next year.
