Shiseido Co., the Japanese firm that sells Laura Mercier cosmetics and Dolce & Gabbana fragrances, sold ¥1 trillion ($9.3 billion) worth of beauty products last year, mostly in traditional stores where customers can sample brands in person. Consumers in their teens and twenties often prefer to shop online, beyond the reach of in-store salespeople. To partner with -- and even buy up -- small startups in Silicon Valley and other tech hubs to gain expertise in artificial intelligence, augmented reality and other technologies. His ambition is to help shoppers replicate online the experience of trying on cosmetics in a store, and use data from smart devices to create personalized makeup for customers. "Particularly with the younger generation, often they don't go into the stores," Uotani said in an interview.
L'Oréal has acquired 100% of the Canadian company ModiFace, specialised in augmented reality and artificial intelligence applied to the beauty industry. "This acquisition is in line with L'Oréal's digital acceleration strategy to provide the group's 34 international brands with the most innovative technologies in terms of services and beauty experience," said the company. Founded by Parham Aarabi eleven years ago in Toronto, ModiFace has developed advanced technologies of 3D virtual make-up, colour and skin diagnosis services using proprietary know-how which track facial features and colour, and are used by nearly all the major beauty brands. ModiFace employs nearly 70 engineers, researchers and scientists who have submitted more than 200 scientific publications and registered over thirty patents. "We are thrilled to welcome ModiFace to L'Oréal to become the heart of our digital services R&D.
LONDON – The worlds of makeup and artificial intelligence came together on Friday. L'Oreal, one of the world's biggest cosmetics companies, has purchased ModiFace, a Canadian firm that specializes in artificial intelligence and augmented reality technology. The French company is hoping it will bolster its previous work on virtual beauty products. Lubomira Rochet, the chief digital officer at L'Oreal, said that ModiFace's engineers, researchers and scientists would help it develop apps and in-store services. The two companies are working on technology that can scan a human face and provide suggestions for skin-care products based on facial wrinkles, pores, hydration levels and pigmentation.
In Part 1 of this series, I profiled how two companies -- Domino's Pizza and KLM Royal Dutch Airlines -- are using chatbots to boost their brands and smoothe interactions with their customers. This time, we'll continue by looking at cosmetics retailer Sephora and sharing some of the lessons marketers can learn from these leaders' experiments. Company description: The French cosmetics company offers makeup, fragrance, skin care and hair care goods for men and women featuring more than 300 brands and its own label. It has approximately 2,300 stores in 33 countries. Its parent company, LVMH Moët Hennessy Louis Vuitton, reports revenues of 4 billion euros in the first nine months of 2017 in the Perfumes & Cosmetics business group, which Sephora is a part of.
We have developed a sales-support system for door-to-door sales of cosmetics based on a system called Skin-Expert, a skin-image grading service that includes analysis and diagnosis. Several parameters are extracted by image processing, and the skin grading is done by rules generated by data mining from a baseline of grades given by human skincare experts. Communication with the Skin-Expert is through a cellular telephone with a camera, using email software and a Web browser. Salespeople photograph the customer's skin using the camera in a standard cellular telephone and then send an email message that includes the picture as an attachment to our analysis system. Other parameters associated with the customer (for example, age and gender) are included in the body of the message.
Consumer trends and behaviors are changing rapidly with advances in technology. The keyword "Beauty" is one of the most searched terms on the web with almost 4 billion queries received annually according to estimation by L'Oréal. They want beauty to be closely connected with technology.That's what is connected beauty all about. Nowadays, consumers interested in beauty care want to see how technology can provide them a better personal experience and make them feel connected. Beyond just improving your good looks, today's apps and devices can also empower the connected consumer to self-diagnose beauty issues, and respond accordingly to imperfections.
We have developed a sales-support system for door-to-door sales of cosmetics based on a system called Skin-Expert, a skin-image grading service that includes analysis and diagnosis. Skin-Expert analyzes a customer's current skin quality from a picture of the skin. Several parameters are extracted by image processing, and the skin grading is done by rules generated by data mining from a baseline of grades given by human skin-care experts. Communication with the Skin-Expert is through a cellular telephone with a camera, using e-mail software and a Web browser. Salespeople photograph the customer's skin using the camera in a standard cellular telephone and then send an e-mail message that includes the picture as an attachment to our analysis system. Other parameters associated with the customer (for example, age and gender) are included in the body of the message. The picture is analyzed by our skin-grading system, and the results are made available as a page in HTML format on a customer-accessible Web site. An e-mail is sent when the results are available, usually within minutes. Salespeople check the results by using a Web browser on their cellular telephones. The output not only provides a grading result but also gives recommendations for the care and cosmetics that are most suitable for the customer. Our system integrates cellular communication, Web technology, computer analysis, data mining, and an expert system. Though salespeople use only a cellular telephone with very little computing power as the front end, they can take advantage of intelligent services such as computer grading and data mining. The salespeople do not need to think about what is running in the background, and there is no requirement that end users have any special hardware.