Discover how to use Generative AI to create and promote cosmetic products that your customers will truly love. Turn data, reviews, and social media into winning formulas and marketing campaigns.
This workshop will teach you how to use Generative AI to formulate and sell cosmetic products that resonate with your audience’s desires.
From advanced analysis of reviews and market trends to accelerated product formulation and strategic repositioning of offerings: Generative AI is making marketing, R&D, and product management faster, more accurate, and consumer-driven.
Cosmetics brands looking to optimize marketing campaigns and develop successful products.
Laboratories and contract manufacturers seeking to propose new solutions to client companies, gaining a competitive advantage.
Marketing managers seeking AI-driven techniques for launching or repositioning products.
Cosmetic chemists / R&D professionals wanting to understand how to use new AI models and tools to pair ingredients and simulate cosmetic effects.
Product Managers looking to optimally position their cosmetic line, bridging gaps with competitors.
What is Generative AI, how do the new Large Language Models (LLMs) work, and how are they different from traditional AI?
How Generative AI is revolutionizing the cosmetic industry, from review analysis to creating personalized marketing campaigns, to formulating new products.
How to increase sales and reduce costs through AI-driven marketing intelligence and market-oriented, fail-fast R&D.
Generative AI models today allow brands to create a detailed map of consumer needs and preferences by integrating diverse sources like online reviews, social media posts, niche forums, and even mentions in blogs and digital magazines.
By analyzing millions of reviews and spontaneous conversations, Generative AI identifies recurring needs and issues (such as irritations, inadequate textures, or disliked fragrances), as well as the most commonly used keywords to describe desired products.
New social listening tools allow brands to detect rising interest in specific ingredients (such as Niacinamide, Bakuchiol, or adaptogens), giving them the opportunity to react or anticipate a trend before competitors.
Generative AI enables segmenting customers into micro-niches and tailoring messages to their preferences, a task that was previously extremely costly.
By automatically generating ad copy, social media posts, and even images, a brand can create multiple variations of ads to test (A/B testing) in real-time, adapting them to the target audience and current trends.
Generative AI in cosmetic marketing doesn’t just “count likes” or measure generic sentiment; it translates the diverse voices of customers into targeted actions and messages, from new product ideation to optimizing hyper-personalized campaigns.
All of this helps build a stronger connection with the end consumer and differentiate the brand in an increasingly crowded market.
Generative AI allows for the virtual prediction of the potential of hundreds of ingredient combinations, exponentially accelerating the discovery and optimization of new formulas.
Instead of relying solely on empirical experimentation (lengthy testing and numerous iterations in the lab), R&D teams can explore a broader range of solutions and quickly identify the most promising recipes.
With Large Language Models (LLMs), researchers can analyze millions of reviews and extract patterns on emerging ingredients (e.g., Niacinamide, Bakuchiol, etc.).
During the mixture phase of ingredients, AI can simultaneously consider stability, texture, efficacy, and cost, proposing formulations that meet all constraints and address market needs.
Generative algorithms in scientific fields enable the “invention” of entirely new molecules with specific cosmetic properties (anti-aging, deep hydration, irritation reduction, etc.).
New research frameworks allow for simulations to predict potential allergic reactions, antioxidant properties, and more.
Generative AI in R&D promotes a “market-oriented” and “fail-fast” approach: virtually testing thousands of ideas based on market preferences and validating the most promising ones through digital simulations of cosmetic effects.
A significant competitive advantage for both large players and contract manufacturers, who can position themselves as high-tech partners to clients.
The role of Product Managers in the cosmetics industry requires constant tracking of market evolutions, identifying “gaps” in the current assortment, and optimizing the competitive positioning of products.
Generative AI provides a unique advantage by transforming data into strategic insights and rapid actions.
By cross-referencing public data (e.g., ingredients, price, etc.) with reviews, AI highlights what makes a competitor attractive or criticized, providing concrete suggestions for product improvement (e.g., changing fragrance, using more natural ingredients, etc.).
Through generative analysis of reviews and social listening tools, Product Managers can launch call-to-actions that guide the development of new product lines.
By tracking online reviews and integrating them with the expertise of their teams, Product Managers can plan launches ahead of competitors. If AI signals an imminent boom in peptide X creams, quickly developing a product in this area could provide a significant market advantage.
Generative AI enables Product Managers to turn data into instantly actionable insights, unlocking opportunities for innovation and more targeted positioning in the cosmetic market.
No cost to attend, and you can extend it to your colleagues and collaborators.
60 minutes of high-quality content on the Future of Cosmetics with Generative AI.
Practical applications, use cases, and insights to gain a competitive edge.
Personalized experience based on your needs. Ask any questions you want in the chat.