Mastercard is entering the market with a new tool that has the potential to revolutionize the online shopping experience. Shopping Muse, an advanced assistant powered by generative artificial intelligence, aims to change the way consumers search and browse products online.
Personalization at a new level
Shopping Muse is a tool designed to enable personalization of consumers' shopping experiences. Thanks to advanced artificial intelligence, this tool can process even simple, everyday customer queries and searches into precise product recommendations tailored to their expectations and needs.
What makes Shopping Muse stand out from other solutions? The key is its use of Dynamic Yield's personalization capabilities. This advanced technology analyzes customers' previous product browsing behavior, purchase history and other online interactions, which allows it to deliver personalized suggestions aligned with their interests.
Raj Seshadri, President of Data and Services at Mastercard, emphasizes that solutions such as Shopping Muse are a natural step in the retail revolution. "The consumer and their needs are at the center of attention. Mastercard uses technology and machine learning to deliver the best possible results for businesses and consumers."
How does Shopping Muse work?
Shopping Muse not only makes it easier to search for products using phrases, but also increases customer satisfaction by helping them find a perfectly matched product, even if they cannot describe it in words. The tool uses advanced image recognition tools, which allows retailers to recommend products to customers based on visual similarities between them.
Mastercard unveiled an AI tool for retail
In addition, Shopping Muse takes customer preferences into account by analyzing their browsing history and previous purchases. As a result, the tool can more effectively predict consumers' intentions and expectations.
"Consumers expect personalized experiences, and AI-powered innovations are key to creating engaging customer interactions and delivering online shopping that is perfectly tailored to user expectations." - Ori Bauer, CEO of Dynamic Yield by Mastercard
Challenges for retail
In a dynamically changing retail world, retailers must adapt to consumers' increasingly high expectations. The use of technology, especially generative artificial intelligence, is becoming crucial. According to data, more than one in four retailers already uses solutions based on this technology, and another 13% plan to implement them in the coming year.
Mastercard and Dynamic Yield
In 2022, Mastercard acquired Dynamic Yield, a six-time leader in the Gartner Magic Quadrant for Personalization Engines. This step made it possible to strengthen Mastercard's package of services in the area of consumer engagement and loyalty, enabling brands to deliver more effective and trustworthy services across all channels.
Mastercard emphasizes that it applies best-in-class privacy protections across all its products and services. The company strives to create a sustainable world in which everyone has access to secure, simple, smart and easily accessible transactions.
In an era of rapidly changing trends and growing consumer expectations, tools such as Shopping Muse may become a key element in the fight for competitiveness in the retail market. It is worth watching what innovations the future will bring, and Shopping Muse may be one of the first steps toward an even more personalized and intuitive world of online shopping.
