Set to become available from mid-March, the the platform uses a ‘suite of artificial intelligence technologies’, according to Olay. It is a web-based skin analytics platform that analyses a selfie of the skin along with the consumer’s self-inputted concerns.
“AI is not a technology of the future – it’s transforming our world today,” said Greg Estes, Vice President of Developer Programs at NVIDIA, whose GPU-accelerated deep learning platform was used to train Olay Skin Advisor’s neural network.
“Olay and other leading brands are using AI to infuse devices and apps with intelligence, bringing new experiences, unprecedented personalization and real benefits to people’s lives.”
Diagnostics: top beauty tech focus
Consumer demand for more tailored and personalised beauty and personal care products is impacting every aspect of product development, and nowhere is the industry seeing more innovation than in the area of diagnostics.
Olay is just the latest in a string of major brands tapping into the trend.
Last year, Lancome announced that on the back of its successful launch in the US, its customisable foundation - Le Teint Particulier - is now set to launch in the UK too.
Panasonic’s Future Mirror is similarly innovative; launched last year, it is a digital mirror that uses image analysis to print personalised makeup for the user. L’Oréal’’s Makeup Genius augmented reality app is another key example of the trend.
The ever-rising popularity of diagnostics tech in beauty is driven by younger consumers, particularly due to two key elements to their consumption habits: they are digitally savvy and they are keen for customisation.
“Personalisation and interactivity is important in beauty care for millennials, with a rash of digital solutions emerging to appeal to their need for individual solutions,” explained Euromonitor International in its report on millennial consumer behaviour last year .