Dynamic Yield by Mastercard unveils shopping muse, the next generation personal retail assistant

30 November, 23
Dynamic Yield by Mastercard today announced Shopping Muse, an advanced generative AI tool that revolutionises how consumers search for and discover products in a retailer’s digital catalogue.

Dynamic Yield by Mastercard today announced Shopping Muse, an advanced generative AI tool that revolutionises how consumers search for and discover products in a retailer’s digital catalogue.

Shopping Muse re-creates the in-store, human experience by translating consumers’ colloquial language into tailored product recommendations, complete with suggestions for coordinating products and accessories. Consumers can use Shopping Muse to explore modern aesthetics, trending looks, dress codes, and unconventional search terms like ‘cottagecore’ or ‘beach formal’ with ease. Shopping Muse recommendations match an individual consumer’s unique profile, intent, and affinity, and builds on the conversation’s context over time to deliver results that perfectly match even the most eccentric query. Underpinned by Dynamic Yield’s deep personalisation capabilities, 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.

“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,” 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.”

In addition to helping shoppers search by phrase, Shopping Muse can reduce frustration by helping consumers find the perfect item even when they don’t know how to properly describe it in words. Using integrated advanced image recognition tools, retailers can recommend relevant products based on visual similarities to others, even if they lack the right technical tags. The tool also takes into account the shopper’s affinity, based on session browsing history or past purchases, to better estimate future buying intent. With an understanding of the consumer’s affinity and the context of broader collective behaviour, the retailer can ensure the suggested items are complementary, not redundant.

“Personalisation gives people the shopping experiences they want, and AI-driven innovation is the key to unlocking immersive and tailored online shopping,” said Ori Bauer, CEO of Dynamic Yield by Mastercard. “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.”

In this era of fast evolving trends and deep learning algorithms, retailers must adapt to changing demands and higher consumer expectations to move beyond short-term trends. Embracing technology is crucial to that agility – more than one in four retailers are currently using generative AI solutions, with another thirteen percent planning to adopt them in the next year.

Mastercard acquired Dynamic Yield—a 6-time Leader in the Gartner® Magic Quadrant™ for personalisation Engines—in 2022 to strengthen its suite of consumer engagement and loyalty services, helping brands deliver more effective and trusted experiences across channels. Mastercard embeds best in class privacy safeguards into all of its products and services in line with a thorough Privacy by Design approach and the application of effective and responsible AI principles and standards.

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