Skin Lab's Algorithm Groups Skin into 16 Different Types
Laura McQuarrie — January 25, 2021 — Fashion
References: skinlab.online & premiumbeautynews
Skin Lab developed a skincare algorithm that's useful for grouping common skin concerns into 16 different skin types, so that people can get a clear picture of the kind of ingredients they should be using or avoiding. Skin Lab is an online resource for independent, personalized science-led skincare advice and the site has no products, brands or advertising. In this way, consumers are equipped with the information they need to make informed choices.
With the Skin Lab Build Your Regime tool, site visitors will be able to identify their unique skin type and get a personalized regime of essential and recommended ingredients to suit specific concerns. The personalized regime shares morning and routine rituals to support clear, even and hydrated skin without the noise of marketing.
With the Skin Lab Build Your Regime tool, site visitors will be able to identify their unique skin type and get a personalized regime of essential and recommended ingredients to suit specific concerns. The personalized regime shares morning and routine rituals to support clear, even and hydrated skin without the noise of marketing.
Trend Themes
1. Personalized Skincare - Developing personalized skincare algorithms can disrupt the beauty industry by creating customized and effective products.
2. Science-led Skincare - By utilizing scientific methods to create effective products, companies can gain a competitive edge in the crowded beauty industry.
3. Data-driven Skincare - Using data and algorithms to analyze the unique needs of each individual's skin can create a more personalized and effective approach to skincare.
Industry Implications
1. Beauty and Personal Care - Companies in the beauty and personal care industry can benefit from the use of personalized skincare algorithms to offer customized products and gain a competitive edge.
2. E-commerce - Integrating personalized skincare algorithms into e-commerce platforms can provide customers with more personalized shopping experiences and increase customer loyalty.
3. AI and Machine Learning - The use of AI and machine learning can provide more accurate and effective personalized skincare recommendations, disrupting traditional skincare practices and creating new opportunities for innovation.
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