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AI-Matched Makeup Shades

Clean the Sky - Positive Eco Trends & Breakthroughs

The AI Smart Shade Finder Makes Individual Recommendations

— April 22, 2020 — Fashion
Perfect Corp partnered with makeup brand Make Up For Ever to create the AI Smart Shade Finder to help customers find their ideal foundation shade. The tool mimics the try-on experience by leveraging artificial intelligence and deep learning to accurately detect a consumer’s skin tone and make a recommendation based on its findings. The AI Smart Shade Finder draws from over 200,000 learning samples across a wide variety of skin groups to offer a personalized experience.

After being matched to their best shade, users have the ability to experience a digital try-on to see the Make Up For Ever foundation shade range for themselves. The virtual experience promises to be especially appealing to customers who are familiar with traditional, in-store try-ons.
Trend Themes
1. AI-powered Shade Matching - The AI Smart Shade Finder revolutionizes the process of finding the perfect makeup shade by using artificial intelligence to accurately detect a consumer's skin tone.
2. Virtual Try-ons - The virtual try-on experience offers customers the opportunity to see themselves wearing different shades of foundation before making a purchase, providing a convenient and personalized shopping experience.
3. Personalized Recommendations - The AI Smart Shade Finder uses deep learning to analyze over 200,000 learning samples and provide individualized foundation shade recommendations based on a consumer's specific skin tone.
Industry Implications
1. Beauty and Cosmetics - The AI Smart Shade Finder has the potential to disrupt the beauty industry by simplifying and improving the process of finding the perfect foundation shade.
2. Retail - The virtual try-on technology can enhance the online shopping experience for customers, increasing engagement and potentially driving sales.
3. Artificial Intelligence - The use of AI and deep learning in the makeup industry opens up opportunities for further innovation and customization in product recommendations and personalization.
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