Mastercard's Dynamic Yield has made its Shopping Muse, an advanced generative AI tool designed to revolutionise the way consumers search for and discover products in a retailer's digital catalogue, generally available.

Shopping Muse uses AI to translate consumers' colloquial language into tailored product recommendations, complete with suggestions for coordinating products and accessories. The tool allows consumers to explore modern aesthetics, trending looks, dress codes, and unconventional search terms.

Shopping Muse's recommendations are based on an individual consumer's unique profile, intent, and affinity, and build on the conversation's context over time. The solution combines contextual and behavioural insights to produce recommendations that are informed by the retailer's keywords, visual cues, and the consumer's own affinity. Shopping Muse can also help consumers find items based on visual similarities to other products, even if they lack the right technical tags.

"Solutions like Shopping Muse are the next natural step in the retail revolution and are core to putting the consumer back at the centre of the journey. At Mastercard, we’re putting technology and machine learning to work to deliver better outcomes for both brand and consumer," said Raj Seshadri, president of Data & Services at Mastercard.

Solutions Engineering Lead for Australia & New Zealand at Dynamic Yield by Mastercard, Renan Maluenda, explained is as follows: "Shopping Muse does not replace an ecommerce site search functionality, but rather creates an opportunity for conversational discovery that shoppers would previously only find in-store. It takes into account contextual data (such as weather and user's location), shopping and browsing history and the shopper's unique affinity profile based on their behaviour across devices. With such rich data, retailers can ensure the recommended items are complementary, not redundant."

Mastercard acquired Dynamic Yield, a leader in the Gartner Magic Quadrant for Personalisation Engines, in 2022 to strengthen its suite of consumer engagement and loyalty services. More than one in four retailers are currently using generative AI solutions, with another 13% planning to adopt them in the next year.

"Personalisation 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," added CEO of Dynamic Yield by Mastercard, Ori Bauer.