02.28.17
To highlight its premiere at the Mobile World Congress, Olay launched the Olay Skin Advisor, a new platform designed to help women better understand their skin and find the products best-suited to their personal skin care needs. The brand says that the artificial intelligence technologies used in the Advisor mark “the first application of deep learning in the beauty industry,” providing women with the knowledge they need to purchase products and care for their skin.
“Shopping for skin care has never been more overwhelming, as women are faced with thousands of products and promises,” said Dr. Frauke Neuser, principal scientist for Olay. “Olay’s research shows that browsing the shelf is the #1 purchase influencer for women, yet 1/3 of women do not find what they are looking for. We saw an opportunity to help women understand their skin better than ever, before they even step foot in the store. Our solution is Olay Skin Advisor, which uses artificial intelligence to deliver a smart skin analysis and personalized product recommendation, taking the mystery out of shopping for skincare products.”
According to the brand, Olay Skin Advisor is a web-based skin analytics platform that provides women with precise, personalized skin education and product recommendations on their mobile phones or tablets. With just one selfie, Skin Advisor analyzes a woman’s face to determine her current “skin age” (i.e. how young or old she looks) and which areas of her face are driving that age. Following a short series of questions about her personal skin concerns and product preferences, Skin Advisor delivers a personalized product regimen recommendation based on extensive knowledge about what products have worked best for women like her – women with the same skin concerns, needs and preferences. Ultimately, Olay Skin Advisor helps her find the products that are right for her specific skincare needs, delivering skin transformation that will help make her look Ageless.
The global launch of Olay Skin Advisor coincides with a series of upgrades to the platform in the United States, where a 1.0 beta version has been live since late 2016. Previewed at Mobile World Congress, the following suite of AI technologies will power Olay Skin Advisor 2.0, launching in the US mid-March:
“Shopping for skin care has never been more overwhelming, as women are faced with thousands of products and promises,” said Dr. Frauke Neuser, principal scientist for Olay. “Olay’s research shows that browsing the shelf is the #1 purchase influencer for women, yet 1/3 of women do not find what they are looking for. We saw an opportunity to help women understand their skin better than ever, before they even step foot in the store. Our solution is Olay Skin Advisor, which uses artificial intelligence to deliver a smart skin analysis and personalized product recommendation, taking the mystery out of shopping for skincare products.”
According to the brand, Olay Skin Advisor is a web-based skin analytics platform that provides women with precise, personalized skin education and product recommendations on their mobile phones or tablets. With just one selfie, Skin Advisor analyzes a woman’s face to determine her current “skin age” (i.e. how young or old she looks) and which areas of her face are driving that age. Following a short series of questions about her personal skin concerns and product preferences, Skin Advisor delivers a personalized product regimen recommendation based on extensive knowledge about what products have worked best for women like her – women with the same skin concerns, needs and preferences. Ultimately, Olay Skin Advisor helps her find the products that are right for her specific skincare needs, delivering skin transformation that will help make her look Ageless.
The global launch of Olay Skin Advisor coincides with a series of upgrades to the platform in the United States, where a 1.0 beta version has been live since late 2016. Previewed at Mobile World Congress, the following suite of AI technologies will power Olay Skin Advisor 2.0, launching in the US mid-March:
