How to AI in beauty: Bridging the gap between insights and impact

Key insights from the session

• AI beyond the hype: Only 12% of European companies currently use AI solutions, underscoring the need to move from experimentation to real impact. Organizations must focus on use cases that create tangible business value.
• Business value first: Successful AI initiatives are those tied to clear objectives such as revenue growth, cost optimization, or customer engagement — not just technology exploration.
• Think big, start small, scale fast: Begin with targeted pilots to prove value and build momentum before scaling successful applications across the organization.
• Personalization at scale: From virtual try-ons to individualized marketing, AI enables deep personalization that enhances customer relationships and brand loyalty.
• AI-powered creativity & efficiency: Generative AI tools like MidJourney, Runway ML, and ChatGPT can accelerate content production, streamline workflows, and inspire creativity — transforming how beauty brands go to market.
• Data, ethics & legal readiness: As AI adoption accelerates, companies must address data quality, transparency, and copyright considerations to mitigate risks and protect brand integrity.
• Collaborate to accelerate: Partnering with AI and data experts helps organizations bridge skill gaps, prioritize impactful use cases, and embed AI strategically across business functions.