So, what exactly is personalised skincare?
As beauty collides with technology, cosmetic companies each have their own take on what personalised skincare is, and therefore use a range of different technologies to provide this experience, such as:
- Augmented reality
- Machine learning algorithms
- IoT technology
- Facial recognition
- Online surveys/quiz
- Next generation sequencing
- At-home test kits
- Skin microbiome testing
Consumers are educating themselves in various methods to identify how skin health impacts overall health and happiness. It’s not just a cosmetic concern anymore, so each technological advancement is one step closer to healthier skin, lifestyles, and wellbeing.
How Global Cosmetic Companies Are Utilizing Personalised Beauty Technology
Countless methods are already being put to the test by cosmetic companies across the world. Some technologies are more predominantly used, but each have their own twist to ensure every experience is unique to the customer.
Augmented reality (AR)
AR software allows users to virtually try on products, without ever having to leave their homes. One of the first big companies on the scene was ModiFace, offering a smartphone app that scans your face, letting users identify compatible products. This tech has now been acquired by L’Oréal for their Perso mobile app and is also used by Sephora’s Visual Artist technology.
Machine Learning (ML) algorithms
Atolla uses hydration, oil, pH, and absorption test kit data in combination with ML algorithms, lifestyle, and environmental factors to create a face serum that is targeted directly towards your skin’s needs. Although choices are limited to just one product and it fails to take your unique skin microbiome into account.
Proven Skincare offers a 3-minute online quiz to imitate a conversation you would have with an aesthetic dermatologist. Comparing data from your environment, lifestyle, and skin concerns, allows them to create a choice of three beauty products suitable for your complexion, by comparing the results with scientific papers and customer reviews.
Used across a variety of industries, AI-powered chatbots are increasingly providing personalised experiences in the beauty industry. Estée Lauder is one such company to use this technology, both to develop night-time beauty routines for customers, and match users with products that address their skin concerns, based on predetermined AI-based chatbot conversations with “Liv”.