向美、向上 欧莱雅在AI时代书写“美的无限可能”

L'Oréal is driving transformation in the beauty industry in the AI era, achieving steady growth and market leadership while providing practical insights.

1. Widespread AI Application: In R&D, AI reduces new formula testing from years to just 2 hours; for consumers, GEO technology replaces SEO, offering personalized recommendations based on skin type and context; in operations, AI-powered predictive inventory and robotic automation boost efficiency.

2. Commitment to Real Beauty: The brand pledges never to use AI to generate fake makeup effects, emphasizing authenticity with real people and real skin as a core principle, exemplified by stories like Lan Zhenzhen's red sweater which add emotional warmth.

3. Performance in China: L'Oréal maintained its position as the top beauty brand in China in 2025, with mid-to-high single-digit growth in Q1 2026; it launched the La Roche-Posay Ultra-Molecular Oil-Control Balancing Lotion series, featuring a "9:8:5" golden ratio of three acids.

4. Social Impact: Through the "Generation to Generation" initiative, it supports women in science, with a five-year donation of 10 million RMB to build intergenerational empowerment pathways.

L'Oréal leverages AI to drive brand innovation, emphasizing authenticity and emotional connection, offering lessons in brand marketing and product development.

1. Brand Marketing Strategy: Utilizes AI-native virtual idol Yuri to enhance brand engagement, with 70% of Chinese consumers consulting AI before purchases; Skinceuticals deepens partnerships in medical aesthetics, establishing scientific skincare centers to elevate the 'quality-to-price' experience.

2. Product Innovation: Collaborated with Huashan Hospital to launch La Roche-Posay products using dual co-assembled supramolecular technology; CeraVe expanded into university campuses to address graduates' psychological concerns, broadening brand boundaries.

3. Consumer Trend Insights: AI enables dynamic inference of consumer needs, shifting the consumption entry point from search boxes to conversational interfaces; the strategy emphasizes a human-centric approach, returning to brand integrity and long-term value.

4. Technology Integration: The group developed custom AI tools like L'Oréal GPT, which can summarize PPTs in under 20 seconds, enhancing decision-making efficiency.

L'Oréal's strategy reveals growth opportunities and learning points for navigating market changes and identifying partnership pathways.

1. Growth Opportunities: The China market continues to expand, with its 2025 innovation center securing 94 patents; AI technologies like predictive inventory and robotic automation reduce inventory risks and improve order agility.

2. Collaboration Models: The "BIG BANG Beauty Tech Co-Creation Program" attracted 2,500 enterprises, incubating over 80 innovation projects in areas like sustainable packaging; CeraVe's campus activities provide replicable models for mental health support.

3. Risks and Learnings: The shift to AI-driven consumer interfaces may disrupt traditional search models; however, the human-centric strategy, such as insisting on real makeup effects, mitigates risks from deceptive marketing and offers decision-making references.

4. Support Policy Insights: Co-creation programs accelerate technology adoption, helping local firms like杉海创新 go global; investments in China, such as the Nantong Smart Operations Center, provide regional digitalization blueprints.

L'Oréal's AI applications offer insights into production digitalization, focusing on efficiency gains and business opportunities.

1. Production and Design Optimization: AI predictive inventory and robotic automation are applied in the supply chain for precise stock management; the Suzhou Smart Operations Center utilizes automated sorting systems and vision-picking robots.

2. Digital Advancement: AI-assisted R&D slashes development time, reducing new ingredient testing from years to 2 hours; the construction of the Nantong Smart Operations Center builds an agile supply chain system, offering a replicable model for manufacturing.

3. Business Opportunities: The co-creation program introduces new technologies, such as千觉机器人 solutions; products like La Roche-Posay with innovative formulas highlight the importance of clinical data feedback for R&D.

4. E-commerce Insights: Consumer-end GEO technology dynamically infers demand, suggesting factories can apply similar models for design optimization; Skinceuticals' medical aesthetics partnerships underscore product value as a "treatment modality."

The L'Oréal case demonstrates AI-driven industry trends, addressing client pain points and offering solutions.

1. Industry Trends: AI is evolving from a tool to an operating system, reshaping the entire beauty value chain; Generative Engine Optimization replaces Search Engine Optimization, shifting consumer entry points to conversational interfaces.

2. New Technology Applications: AI accelerates formula testing in R&D and employs predictive inventory in operations; tools like L'Oréal GPT enhance team efficiency by summarizing complex documents in 20 seconds.

3. Client Pain Point Solutions: GEO technology addresses personalized consumer needs with dynamic skin and context inference; co-creation programs like BIG BANG, involving 2,500 companies, incubate solutions such as AI predictive inventory.

4. Ecosystem Development: An open innovation ecosystem fosters knowledge scaling, with commercial cases including firms like深度原理; the approach emphasizes real demand-driven innovation, reducing risks from inauthenticity.

L'Oréal's strategy reveals platform demands and management optimizations, focusing on merchant recruitment and entry point shifts.

1. Platform Demands: Consumer entry points are shifting from search boxes to conversational interfaces, making AI dialogue a new trend; AI-assisted decision-making tools like L'Oréal GPT help platforms "see comprehensively and deeply" to mitigate market trend risks.

2. Platform Practices: Co-creation programs build open ecosystems, attracting enterprises and incubating projects; smart operations centers use automation technologies to enhance operational agility, offering models for platform management.

3. Merchant Recruitment Opportunities: The BIG BANG program provides a global stage for local startups like睿维新材; investments in China, such as the Nantong center, offer references for platforms to attract similar collaborations.

4. Risk Mitigation: Adherence to real beauty, avoiding AI-generated fake effects, underscores a commitment to integrity; consumer-side changes highlight the need for platforms to adapt to dynamically inferred demand.

The L'Oréal model offers insights into industry trends and policy implications, focusing on sustainable development and innovation models.

1. Industry Dynamics: AI as an operating system is redefining beauty industry competition, enabling intelligent transformation across the value chain; closed-loop industry-academia-medicine collaborations, like with Huashan Hospital, use clinical data to feed R&D, with La Roche-Posay products as exemplars.

2. Emerging Issues and Policies: Sustainable development is achieved through co-creation programs that scale ecosystems; commitment to investments like the "Generation to Generation" initiative, donating 10 million RMB over five years to support female scientists, suggests policy focus on intergenerational empowerment.

3. Business Models: The human-centric strategy shifts products like Skinceuticals towards expert-endorsed "treatment modalities"; the BIG BANG program covers areas like new active ingredients, providing an open innovation model.

4. Implications: While technology empowers, beauty ultimately transcends it, returning to humanistic values; China serves as an innovation engine, with significant patent achievements in 2025, highlighting the importance of regional digitalization case studies for researchers.