Revolutionizing Online Shopping with AI: Daydream's Personalized Approach
ByAinvest
Saturday, Jul 26, 2025 4:16 am ET1min read
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Bornstein, with her background in the fashion and retail industries, believes that Daydream's deeper understanding of these sectors sets it apart from competitors like Meta, OpenAI, and Amazon. These tech giants have also implemented AI tools to enhance online shopping, but Daydream focuses on making the process more intuitive and conversational.
According to a survey by Adobe Analytics, 39% of American consumers used generative AI for online shopping in 2024, and 53% plan to do so in 2025 [1]. This growing demand for personalized and AI-driven shopping experiences highlights the potential market for Daydream and similar startups.
Daydream's conversational AI can understand and interpret user queries, providing relevant product suggestions based on the user's preferences and context. This approach not only simplifies the shopping process but also enhances customer satisfaction by reducing the time and effort required to find the desired products.
As Daydream competes with established tech giants, its success will depend on its ability to differentiate itself and provide a unique value proposition. By focusing on the fashion and retail industries, Daydream can leverage its expertise to create more tailored and effective AI-driven shopping experiences.
References:
[1] https://www.channelengine.com/en/blog/ai-powered-shopping-and-future-fashion-industry
[2] https://www.cnn.com/2025/07/26/tech/daydream-ai-online-shopping
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Daydream is a tech startup that uses AI to simplify online shopping by allowing users to search for products in a conversational way. Users can describe what they're looking for, such as a "revenge dress for a party in Sicily," and the platform will provide personalized results. The company is led by CEO Julie Bornstein, who has experience in the fashion and retail industries. Daydream is competing with tech giants like Meta, OpenAI, and Amazon, but Bornstein believes that Daydream has a deeper understanding of the fashion and retail industries.
Daydream, a tech startup led by CEO Julie Bornstein, aims to revolutionize online shopping by leveraging artificial intelligence (AI) to provide a more personalized and conversational shopping experience. The platform allows users to describe their product needs in natural language, such as "a revenge dress for a party in Sicily," and delivers tailored results [1].Bornstein, with her background in the fashion and retail industries, believes that Daydream's deeper understanding of these sectors sets it apart from competitors like Meta, OpenAI, and Amazon. These tech giants have also implemented AI tools to enhance online shopping, but Daydream focuses on making the process more intuitive and conversational.
According to a survey by Adobe Analytics, 39% of American consumers used generative AI for online shopping in 2024, and 53% plan to do so in 2025 [1]. This growing demand for personalized and AI-driven shopping experiences highlights the potential market for Daydream and similar startups.
Daydream's conversational AI can understand and interpret user queries, providing relevant product suggestions based on the user's preferences and context. This approach not only simplifies the shopping process but also enhances customer satisfaction by reducing the time and effort required to find the desired products.
As Daydream competes with established tech giants, its success will depend on its ability to differentiate itself and provide a unique value proposition. By focusing on the fashion and retail industries, Daydream can leverage its expertise to create more tailored and effective AI-driven shopping experiences.
References:
[1] https://www.channelengine.com/en/blog/ai-powered-shopping-and-future-fashion-industry
[2] https://www.cnn.com/2025/07/26/tech/daydream-ai-online-shopping
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