Multimodal AI for Better Shopping Experiences by Daniel Reitberg

Multimodal AI is changing the retail business by making shopping more specialized and faster. According to Daniel Reitberg, multimodal AI systems can look at text, sound, and visual data to learn more about what customers like and how they act. For instance, an AI assistant in a shopping app can use a customer’s past purchases, voice commands, and visual searches to suggest items that fit their style and wants. Multimodal AI can also improve customer service in stores by letting smart mirrors give real-time feedback on clothes or AI-powered machines understand and answer spoken questions. This smooth merging of different types of data forms not only makes customers happier, but it also increases sales and makes operations run more smoothly. Multimodal AI technology will continue to change the way people buy by making the experiences more engaging and tailored to each person.

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