Powered by data science and machine learning, Atolla uses algorithms to put together customized beauty products for consumers that address the unique needs of their skin. The newly launched brand offers a monthly subscription service but this doesn't mean that a customer will be stuck with the same personalized product forever—Atolla acknowledges that the quality of one's skin changes based on various factors and the formula can be tweaked accordingly for breakouts, congestion or discoloration.
After undergoing the 10-minute skin analysis in the Skin Health Kit that pulls information about one's diet, lifestyle, preferences and current skincare routine, consumers are able to get a targeted formula. To make it easier for users to monitor the health of their skin over time, the Atolla app makes information and insights readily available.
Algorithmic Skincare Serums
Atolla Developed Customized Beauty Products for Consumers
Trend Themes
1. Algorithmic Skincare - The technology of algorithms and machine learning is disrupting the skincare industry by creating customized products.
2. Monthly Subscription Services - By offering a monthly subscription service with the ability to tweak formulas, companies have the potential to create long-term customer loyalty in the skincare market.
3. Data-driven Beauty - Using data science to create personalized beauty products can improve the effectiveness of products and increase customer satisfaction and engagement.
Industry Implications
1. Skincare - The skincare industry is poised for disruption with the advent of algorithmic technology and customized products.
2. Beauty - Data-driven beauty is changing the way consumers think about customized products and the role of technology in creating them.
3. Technology - The use of algorithms and machine learning in the beauty industry presents opportunities for further advancements in tech and analytics for other industries as well.