Transforming the Online Shopping Experience
Shopping Muse, an AI-based tool created by Dynamic Yield, aims to enhance online shopping by replicating in-person experiences and providing personalized product recommendations. It excels at interpreting colloquial language, accommodating unconventional search terms, and catering to individual consumer profiles.
Mastercard’s Role in Innovation
Raj Seshadri, President of Data & Services at Mastercard, emphasizes how technology and machine learning will improve brand and consumer experiences and put the consumer at the center of the retail journey.
Advanced Features of Shopping Muse
Shopping Muse incorporates advanced image recognition tools and session-based consumer affinity data to refine product suggestions, helping consumers find products even when struggling to describe them precisely.
The Power of AI in Personalization
Ori Bauer, CEO of Dynamic Yield, underlines the importance of AI in personalizing online shopping and how generative AI is key to providing a seamless and tailored shopping experience, meeting consumer standards.
Retailers Adapting to Change
As retailers face shifting consumer demands and expectations, integrating technology, particularly generative AI, is essential for maintaining agility in the rapidly changing retail landscape. Over a quarter of retailers have already incorporated generative AI, with more planning to embrace this technology within the coming year.
Hot Take
Dynamic Yield’s Shopping Muse, powered by AI, is revolutionizing the online shopping experience, meeting consumer’s ever-changing demands and providing a seamless and personalized shopping journey. As retailers adapt to shifting trends, integrating technology like generative AI is key to maintaining agility in the evolving retail landscape.
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