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AI Makeup Experiences

Clean the Sky - Positive Eco Trends & Breakthroughs

Revieve and Shiseido Launch the AI Makeup Advisor Experience

— April 7, 2022 — Fashion
Revieve and Shiseido aim to help consumers discover a makeup routine that is unique to each user for optimized results. That's why the two companies teamed up to launch the AI Makeup Advisor Experience. The collaboration brings together Shiseido's commitment to beauty innovation and Revieve's personalized AI technology recommendations to create a virtual makeup try-on experience.

The makeup experience is offered through Shiseido's website. Consumers will be prompted to upload a selfie and answer questions about their desired beauty looks. After an AI selfie analysis and the user's input, the tool reveals a comprehensive list of recommended products based on full makeup application, including face, eyes, and lips. Before purchasing a product, consumers can use the virtual try-on feature for an accurate dedication of the makeup application.

Image Credit: Revieve and Shiseido
Trend Themes
1. AI-powered Virtual Makeup Try-on - Revieve and Shiseido's AI Makeup Advisor Experience is revolutionizing the beauty industry by offering personalized virtual makeup try-on experiences.
2. Personalization Through AI - Revieve's AI technology recommendations are enabling businesses to offer personalized beauty routines based on individual characteristics and preferences.
3. Integrated Beauty and Technology - Shiseido's partnership with Revieve underscores the trend of beauty companies incorporating technology to enhance customer experiences.
Industry Implications
1. Beauty - Revieve and Shiseido's virtual makeup try-on technology is disrupting the traditional makeup buying experience and is poised to revolutionize the beauty industry.
2. Technology - Revieve's AI technology is disrupting not only the beauty industry, but also other industries where personalization is key such as fashion and e-commerce.
3. E-commerce - Revieve's AI technology recommendations are providing e-commerce companies with a new way to offer personalized product recommendations to customers.
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