L'Oréal Realizes "Individual Beauty" with AI Beauty Advisor

Which Company's Case Study?

This is a case study of L'Oréal, the world's largest cosmetics company headquartered in France. As a leader in "beauty tech," the company has long offered services like AR-powered virtual makeup try-ons, and has now launched a new service that uses generative AI to provide personalized beauty advice. [1, 7]

Challenges They Wanted to Solve

According to a survey, 70% of consumers feel overwhelmed by the sheer number of beauty product options. [6] There was a demand to provide advice similar to what one would receive from in-store experts, but digitally, anytime and anywhere, enabling customers to confidently choose products that suit them. [7] High return rates due to mismatches in online purchases also posed a business challenge. [7]

How They Used AI

They developed "Beauty Genius," a generative AI-powered conversational assistant built on Microsoft Azure OpenAI Service. [9] This assistant combines generative AI, AR (augmented reality), and computer vision. [2, 3] Users can ask any beauty-related questions via chat or scan their face with a smartphone camera to receive a skin diagnosis, getting personalized recommendations from a product lineup of over 750 items. [3, 6]

Implementation Effects and Key Points to Note

• ▸By being able to offer expert advice 24/7, interactive relationships with customers have deepened, leading to a significant improvement in engagement. [1, 8]
• ▸The biggest highlight is that the company's vast accumulated beauty knowledge, dermatological data, and product information are consolidated into AI, allowing consistent, high-quality advice to be provided to customers worldwide on a large scale. [3]
• ▸It's also noteworthy that the service aims to evolve into an "agentic AI" that goes beyond mere Q&A, remembering each customer's past conversations and preferences to support them in achieving their beauty goals from a long-term perspective. [6, 13]

What Japanese Companies Can Learn

For industries dealing with numerous products requiring specialized knowledge, L'Oréal's case study offers significant insights. It's an approach that solves the universal customer dilemma of 'I don't know which one to choose' by utilizing AI as a 'digital expert staff.' This leads to increased customer satisfaction, improved purchasing experience, and ultimately, deepened trust in the brand.

Today's AI News

Reference Links