Thursday, September 11

12:00 AM - 01:00 AM   

Gravel AI

Autre

Gravel is a next-gen Industry Intelligence Platform for Personal Care & Beauty. In this webinar, we'll show you cutting-edge AI tools on ingredient trends and formulation creation, built for ingredient suppliers and beauty product formulators

Karen Ho

12:00 AM - 01:00 AM   

MONTANIER

Autre

Christine GUEZENEC

Wednesday, October 15

12:30 PM - 01:30 PM   

Centre Val de Loire Region

Conferences

More details to come 

01:45 PM - 02:25 PM    Conference Room

DESIGN THE DESIRE. Reinventing innovation in beauty, from consumer needs to the perfect product. AI-Powered, human-Driven - CENT DEGRES

Conferences

Reinventing innovation in beauty.

From consumer needs to the perfect product - AI-Powered, Human-Driven

How can we develop more targeted innovations that respond to consumers’ deeper, unmet needs?

How can we optimize the development process by bringing together all key stakeholders—marketing, formulation, design, and packaging—simultaneously and without silos?

A roundtable discussion featuring teams from Centdegrés, a creative agency, and IBG (Innovative Beauty Group), a next-generation full-service structure specializing in innovation.

These teams—market and brand experts, designers, formulation researchers, and packaging engineers—share their experience leading an innovative project:

- It begins with an in-depth analysis, leveraging AI to anticipate trends before they emerge, by uncovering and mapping consumers’ latent needs.

- One key need is identified and validated by industry experts.

- The product development process is described, based on collective intelligence between disciplines, with AI acting as an accelerator for human expertise.

- The finished product is unveiled.

- The process is compared to a traditional project management approach, highlighting the benefits (and/or competitive advantages).

+An open discussion with the audience.

Elie PAPIERNIK Valerie FEUILLET Gwenaelle OGOR

02:30 PM - 02:50 PM    Conference Room

Measuring sustainability by what we do: the rise of activity-based impact - ECODESIGNCLOUD

Conferences

Sustainability in the cosmetic industry is evolving — and so must the way we measure impact.

For years, environmental reporting has relied on spend-based metrics: the more a company spends on packaging, logistics, or retail displays, the higher the presumed environmental footprint. But this outdated model hides reality — it makes the environmental consequences of everyday decisions invisible and prevents companies from identifying where change is most needed.

Today, the shift is underway. Industry leaders like L’Oréal are pioneering a move toward activity-based impact measurement — a more precise and actionable approach grounded in Life Cycle Assessment (LCA) and real-time data. This model enables companies to assess environmental consequences not just by what they spend, but by what they do — from product design to in-store execution.

At EcoDesignCloud, we power this transition with a platform that makes environmental impact clear, accessible, and actionable. Our real-time scoring tools allow teams across marketing, procurement, design, and sustainability to instantly evaluate and compare the footprint of each choice — directly when the decision is made.

In this session, you’ll discover how cosmetics brands, retailers, and suppliers can:

- Move beyond spend-based estimates to leverage accurate, activity-level environmental data

- Integrate real-time LCA tools into product, POSM, and retail marketing workflows

- Empower teams with intuitive, science-backed scoring to guide better, faster decisions

- Strengthen ESG reporting and reduce greenwashing risks with traceable impact metrics

- Foster a culture of decision-led sustainability, where every stakeholder becomes an active contributor to change

This shift is not just technical — it’s strategic.

By embracing activity-based impact management, beauty companies can optimize performance, reduce risk, and embed sustainability into the core of daily operations — in full alignment with the expectations of today’s consumers and tomorrow’s regulations.

At EcoDesignCloud, we turn invisible impacts into visible, measurable outcomes — because every decision counts.

Benoît COUCHON

02:50 PM - 03:10 PM    Conference Room

Next-Generation Beauty: predictive formulation and made-to-order product personalization - PROSE

Conferences

The cosmetics market has become highly segmented, offering targeted solutions for specific concerns. However, these are often insufficient to address the diversity of consumer needs. A rising demand for personalized solutions reflects a shift in expectations: consumers seek responses tailored to their unique profile. At Prose, we’ve developed a new model that integrates data science, algorithmic and formulation expertise to deliver highly personalized, evolving beauty products, setting the foundation for a new era in cosmetic care.

• A data-driven formulation process:

Our approach starts with a digital consultation grounded in deep scientific knowledge of hair and skin biology. More than 85 key data points are collected, from physical attributes such as skin and hair types to lifestyle and environmental factors. These inputs are processed by proprietary algorithms developed in-house by formulation experts and AI engineers to generate personalized products and custom routine recommendations that precisely address each consumer’s unique needs.

• A fully personalized user experience:

Personalization extends throughout the user journey. Individual diagnostic scores identify key concerns such as scalp dryness, hair damage, or skin sensitivity. Products are further customized based on preferences (fragrance, vegan or silicone-free options). Our algorithms determine optimal ingredient combinations and concentrations to maximize efficacy. Each customer receives a complete personalized routine with detailed ingredient breakdowns, individualized usage instructions, and custom packaging.

• Review & Refine™: A feedback loop for continuous performance optimization: 

Our iterative feedback system, Review & Refine™, integrates customer inputs to adjust formulations with each reorder and reflect new or changing needs as well as preferences. This loop not only enhances individual satisfaction but also informs collective improvements to our algorithmic models through real-time A/B testing and ingredient experimentation. It enables us to anticipate and act on evolving consumer needs, and strengthen our ability to predict formulation adjustments that will improve performance. As a result, over 70% of users report higher satisfaction following product reformulation.

• Sustainable by design, made-to-order production:

All formulations are manufactured on-demand using a proprietary, fully automated production system that can produce over 60,000 distinct products daily. This model avoids overproduction and waste, offering a more sustainable alternative to traditional mass manufacturing, demonstrating that personalized production can be both scalable and efficient.

• Shaping the future of cosmetics through predictive innovation:

By combining scientific expertise with artificial intelligence, our approach redefines industry standards and introduces a new paradigm in cosmetics. It enables more informed product development, anticipates consumer needs, and delivers a highly personalized, sustainable, and sensory beauty experience, designed for long-term performance and continuous user satisfaction.

Marie MIGNON

03:15 PM - 03:35 PM    Conference Room

From Cosmetopeia to Circular Intelligence: Leveraging AI to Reinvent Sustainable Cosmetic Innovation - ME NOW !

Conferences

In a world demanding faster innovation with reduced environmental impact, predictive intelligence is becoming the cornerstone of next-generation cosmetic development. This presentation will showcase a pioneering AI-powered framework that merges deep learning, molecular systems biology, and circular economy principles to revolutionize how we discover, design, and deliver sustainable cosmetic solutions.

Central to this approach is a proprietary bio-intelligence platform, built upon a rich cosmetopeia: a structured exploration of traditional uses, ethnobotanical knowledge, and biodiversity-linked compounds. Combined with a molecular graph of over 2 million natural substances — including botanical extracts and agro-industrial by-products — this system uses deep Bayesian networks and QSAR modeling to:

1. Identify novel, high-performance bioactives rooted in traditional knowledge but validated through predictive toxicology, efficacy, and mechanistic modeling.

2. Predict synergistic effects, biological activity, and formulation behavior via AI-generated digital twins, reducing the need for exhaustive in vitro or in vivo testing.

3. Transform waste into value by mapping the bioactive potential of food and agricultural side streams, unlocking upcycled ingredients with multifunctional benefits.

4. Support traceable, eco-conscious decisions from sourcing to product launch, integrating AI-driven insights with biodiversity protection and regulatory alignment.

By combining cosmetopeia, circularity, and computational foresight, this approach offers a new blueprint for eco-designed innovation — where performance, heritage, and environmental stewardship converge to create the cosmetics of tomorrow.

Coralie EBERT

03:35 PM - 03:55 PM    Conference Room

Valorization of bioresources beyond data - GREENPHARMA

Conferences

How to valorise a bioresource ? 

One strategy is based on the knowledge of its molecular constituents. Greenpharma has developed a unique natural compound database (GPDB) containing molecules, organisms that produce them, traditional usages, biological data and biological targets. From GPDB, we created two prediction tools: GAINS, to predict the molecular content of an extract and SELNERGY, to predict the biological activities of the molecules. This triptych supports decision-making on the market positioning, the optimisation of an extract and finally accelerates the development of active ingredients. 

A case study will be presented.

Quoc Tuan DO

03:55 PM - 04:15 PM    Conference Room

Designing bioactive ingredients: predicting and unlocking plant potential through Precision Indoor Farming - ORIUS & NAEMOS

Conferences

This conference will be led by two speakers: one from Orius, who will discuss experimental plant cultivation methods, and one from Naemos, (an Orius client), who will talk about applications for the cosmetics industry.

Where do plant properties come from? Why do certain species naturally produce powerful active compounds like polyphenols, alkaloids, or terpenes—molecules highly sought after by the cosmetics industry? What if we could guide plants to boost the exact molecules we need?

In nature, this remains nearly impossible. There are simply too many unpredictable variables - weather, sunlight, nutrient availability etc.

Enter precision indoor farming, taking full control over the entire production process : from utilization of inputs like energy, water, and nutrients to the precise production of targeted bioactive compounds. Every parameter is precisely controlled and the environment fine-tuned to produce plants with extraordinary properties. For cosmetics brands, the benefits are clear: access to unique, high-performing, and consistently standardized ingredients — alongside a reduced carbon footprint and a controlled environmental and social impact.

Still, the factors that influence a plant’s metabolite profile are multiple and remain to be fully explored ranging from biotic stress (caused by living organisms) and abiotic stress (environmental factors such as temperature, humidity or UV radiation). Optimizing a plant’s chemical composition to increase the concentration of a target molecule—while also maximizing yield and inhibiting toxic or undesirable compounds—requires a complex and delicate balance.

Given the myriad of variables that interact in complex ways, it is practically impossible to test every possible combination of growth conditions through traditional trial-and-error approaches, which is why a rational approach to experimental design is essential.

To address this challenge, Orius has developed a predictive, experimental-based approach for identifying optimal cultivation conditions tailored to specific client goals. By leveraging experimental data—testing key influencing factors, a statistical model capable of predicting the most promising scenarios was developed.

To validate our in-silico prediction models, developed through computer-based simulation, we conducted several independent experiments implementing the optimal light and temperature parameters suggested by our simulations. Results strongly confirmed our predictions: temperature and lighting adjustments doubled total flavonol content in one case study, while optimized light spectra increased sinapic acid levels 4 times compared to non-optimized culture. Beyond these quantitative improvements, our environmental conditions induced the production of ellagic acid derivatives completely absent under standard conditions. This demonstrates that precise environmental modulation offers unprecedented predictability in inducing specific phytochemical profiles, while also enhancing existing compound yields and activating dormant biosynthetic pathways with previously untapped potential.

This presentation aims to showcase our data processing methods used to develop predictive models, highlight selected results and reliability, and illustrate a few practical application cases.

Specifically, in the development of cosmetic active ingredients, precision indoor farming technology allows to elicit from the plant its most potent bioactive compounds, triggering holistic and high-performing responses within the skin-ecosystem. Even more, precision indoor farming enables the controlled reintroduction of rare or neglected plant species that are no longer accessible through traditional cultivation methods.

Paul-Hector OLIVER Estelle LOING

05:15 PM - 06:15 PM    Conference Room

COSMETIC 360 AWARDS

Ceremony

Thursday, October 16

09:30 AM - 09:50 AM    Conference Room

Digital tools supporting sustainable cosmetic - AIMPLAS

Conferences

The cosmetics sector has undergone significant changes in recent years due to the evolution of consumer habits. Both security and current environmental problems are two critical aspects having a great impact on the cosmetic industry with a shift taken by consumers, concerned about safety and the ecological impact, and thus by stakeholders of this branch of activity. 

Currently, research and innovations in this area are being addressed towards more natural sourced and sustainable products, thus reducing the use of petrochemical components that might be harmful to consumers and the environment. Moreover, the current concerns are accompanied by legislative changes, like the change in the legislation on microplastics (regulation (EU) 2023/2055) aimed at restricting the use and generation of synthetic polymer microparticles. In addition, there is a need for the alignment of the sustainability concept between branches and consumers not only concerning the final product but also packaging. In this sense, the cosmetic sector has to meet with novel regulations aiming at stopping the continuous growing generation of packaging waste and their impact in the environment, and pushing the transition towards circular economy models, like it is the Regulation (EU) 2025/40 of the European Parliament and of the Council of 19 December 2024 on packaging and packaging waste.

An important key driver to manage the impacts of the cosmetics industry is the implementation of the sustainable by design concept, which can be supported by digitalization along the value chain. Thus, the use of digital tools will allow to predict, enhance and guarantee both security and environmental impacts, along with the economic sustainability. The developments and innovations through the utilization of software and computation tools for the prediction of lack information, such as Quantitative Structure-Activity Relationship (QSAR) related with machine learning, will allow for instance, the prediction of toxicity for natural or biobased ingredients in cosmetic formulation, the design of new synthesis routes for raw materials such as green solvents, or the eco-design of sustainable and safe packaging.

AIMPLAS, the Plastic and Polymer Technology Centre in Spain, works in close collaboration with companies to develop new materials supporting QSAR models with a dual purpose: reducing the experimental tests by toxicity prediction and interaction between different molecules, and helping to feed the machine learning to improve it, such as in the on-going European SOLRESS project to develop new green solvents for the cosmetic industry. In the case of new ingredients, such as copolymers, crosslinkers, or novel microencapsulation materials, these tools have a great potential to predict the possible allergy on skin and ensure the security of the final consumers. Regarding sustainable packaging, the ECOSMARTPACK4.0 project introduces digitally traceable primary packaging to predict the stocks and control the logistics along the value chain, opening the window for reusable packaging as an alternative to single-use packaging, also predicting the carbon footprint reduction with multiple uses.

By Rosa Gonzalez Leyba, Packaging Cluster Leader, and Juliette Thomazo Jégou, Researcher in Synthesis Department

Alicia NADERPOUR PEÑALVER

09:55 AM - 10:15 AM    Conference Room

Predicting Beauty: Harnessing AI and Consumer Insight to Shape the Future - APTAR BEAUTY

Conferences

Aptar Beauty explores how predictive tools and trend intelligence can shape the future of cosmetics. This presentation will showcase two case studies: a technology-driven AI model that forecasts compatibility test results for lotion pumps, accelerating development cycles and reducing waste; and a consumer-driven fragrance innovation, born from deep trend analysis and a nuanced understanding of evolving desires. Beyond these examples, we will share our broader approach to navigating uncertainty.

Xavier JOSEPH

10:40 AM - 11:00 AM    Conference Room

From skin omics to predictive cosmetic innovation: an AI-guided framework for bioactive discovery and precision cosmetics - BIOLEVATE

Conferences

In the search for next-generation cosmetic solutions, anticipating biological complexity is essential to designing products that are more effective, more targeted and more respectful of the environment. Traditional approaches are often inadequate when it comes to deciphering the molecular heterogeneity of skin disorders. To fill this gap, we have developed a generalisable AI-native transcriptomic framework that relies on large language models (LLMs) to analyse, structure and interpret multimodal omics data in a predictive and evolutionary manner.

Using keloids, a fibro-inflammatory skin disease, as a representative model, we integrated differential gene expression, protein interaction networks and dual-mode enrichment analyses with LLM-based synthesis. This modular approach enabled us to identify distinct molecular signatures (fibrosis, inflammation, metabolism, apoptosis, transcriptional regulation) and revealed biological architectures specific to the subtypes of the pathology.

Our pipeline links this knowledge to a wide range of biomedical databases to discover exploitable molecular hubs and repositionable bioactive compounds. This creates opportunities for targeted cosmetic strategies, from skin type stratification to precision formulation and repurposing of existing ingredients. Our work illustrates how AI-driven transcriptomics can transform skin data into predictive tools for innovation, sustainability and personalisation in the cosmetics industry.

Maxime GOBIN

11:00 AM - 11:20 AM    Conference Room

The Beauty of Longevity, a New Paradigm - L'OREAL

Conferences

11:20 AM - 11:40 AM    Conference Room

Neurons as a sensor. Digitize biology to predict compound efficacy - NETRI

Conferences

Neurons transmit information within the human body. They process complex information in central nervous system or relay information from organs throughout the body via peripheral nervous system, they are natural sensors able to integrate biological information and transforming it into electrical data. 

NETRI leverages this natural process to digitize human biology. Using its Neurons as a sensor (NaaS) suite wich includes calibrated neuronal cells, Organs-on-chip hardware, AI-based software, digital libraries and methods. NETRI aims to demonstrate that the digital signatures (neural activity recordings) of different ingredients can predict their curing efficacy against pathologies (eczema…) or irritations or their toxicity. By extracting the digital signature and comparing it with a reference compound, it would be possible to predict the efficacy and/or mechanism of action of ingredients in our database. 

Our approach lies at the frontier between digital technology and biology. The unique and robust data generated will add an innovative approach to scientific publications. It will save time and increase sensitivity in high-throughput screening of active ingredient efficacy and toxicity, and reduce the risk of failure in clinical trials.

Alexandre GUICHARD

02:20 PM - 02:40 PM    Conference Room

Predicting Beauty: Virtual Twins and AI in the Future of Cosmetic Innovation - BIOVIA DASSAULT SYSTEMES

Conferences

As the cosmetics industry faces growing pressure to deliver personalized, high-performing, and sustainable solutions, predictive science is becoming a strategic imperative. Leading companies are now turning to Virtual Twin of the Human—such as skin and hair models—combined with AI and deep learning to transform how beauty and skincare formulated products are designed, tested, and delivered. This session will explore how Dassault Systèmes’ Virtual Twin Experienceleverages generative AI, deep learning, and predictive modeling to simulate biological interactions, optimize formulations, and reduce reliance on physical testing. By virtually recreating the structure and function of skin, companies can forecast product efficacy, safety, and stability with unprecedented accuracy.

Key takeaways will include how innovators are:

•Building in silico skin modelsto simulate product behavior and ingredient interactions

•Using Generative AI to design novel formulations and predict performance outcomes

•Integrating lab workflows with digital design to accelerate development and ensure traceability

•Leveraging predictive insights to enhance sustainability, safety, and regulatory compliance

This session offers a forward-looking view into how Virtual Twins and AI are redefining cosmetic science—making it faster, more personalized, and more responsible.

Reza SADEGHI

02:40 PM - 03:00 PM    Conference Room

Superior prediction of shampoo formulation phase stability using Large Language Models - TINY PRED

Conferences

Erwan BIGAN

03:00 PM - 03:20 PM    Conference Room

Leveraging CLP Classification to Predict the Ecotoxicological Hazard of Cosmetic Formulations: A Strategic Approach - NATURAKEM

Conferences

In the pursuit of sustainable cosmetics, assessing and mitigating the environmental impact of formulations is a growing challenge. While cosmetic products are exempt from CLP classification, its methodology offers a valuable framework for predicting ecotoxicological hazards based on ingredient-level data.

This conference will explore how CLP classification can be strategically leveraged to anticipate the environmental impact of cosmetic formulations. By utilizing ingredient hazard data, classification algorithms, we can support decision-making, optimize formulation strategies, and enhance sustainability efforts.

Through case studies, we will demonstrate how this approach provides actionable insights for formulators and regulatory professionals, facilitating the development of environmentally responsible cosmetics.

Join us to discover how applying CLP principles can drive innovation and sustainability in cosmetic formulation.

Nelly VAN CHINH

03:20 PM - 03:40 PM    Conference Room

Unlocking the full potential of fragrance creation with predictive models - DSM FIRMENICH

Conferences

 In the competitive world of fragrance creation, scent performance is a must have. Our cutting-edge, AI-powered platform harnesses the extensive knowledge about our renowned palette of ingredients and advanced modeling to help crafting scents that go further - longer-lasting, more diffusive, and performance-optimized by design. Fueled by big data and deep olfactive expertise, it transforms complex ingredient dynamics into clear, actionable guidance — turning creative instinct into measurable impact. Whether enhancing an existing formula or guiding a new one from scratch, it acts as an AI-powered fragrance intelligence engine, complementing the craftmanship of our perfumers, enhancing creative freedom while ensuring measurable results. 

Key highlights: 

• Fragrance innovation: discover how AI is driving the next wave of fragrance development across applications, creating scents that deliver superior consumer delight at key moments of truth.
• Fragrance performance powered by AI: learn about our advanced AI models that predict and optimize fragrance blooming, trail, long lastingness, ensuring an unparalleled fragrance experience.
• Data science: explore the robust data integration that informs our AI models (consumer data & fragrance data) and discover how they optimize performance models for superior performance. 

Scientific advancements: 

• Predictive AI model: our models combine extensive data on all parameters affecting fragrance experience at key moments of truth, providing ingredient-specific recommendations for optimal fragrance formulation, allowing perfumers to maximize performance.
• Formula analysis and optimization: accelerate the fragrance creation process with AI-driven insights, reducing rework and testing time.
• Brand differentiation: offer unique, high-performing fragrances that stand out in the market. 

Our performance model platform is setting new standards in fragrance creation, bringing together art and science to shape the future of scent, enhancing consumer experience and delight through the power of AI.

Bastien HAMOUNIC

03:40 PM - 04:00 PM    Conference Room

SPF Prediction by Design: The role of mineral UV filters dispersion and optimized formula chassis - SOLABIA

Conferences

What if you had a reliable tool to predict your formula SPF ?

Formulating sunscreen requires achieving targeted SPF and UVA protection, which often involves numerous trials, consuming significant time and energy. Mineral UV dispersions are crucial in modern suncare product design, offering reliable, optimized, consistent, and predictable protection. High-quality dispersions with optimized blend and spreadability enable formulators to simulate and predict final SPF in their formulas. A game changer tool to predict and improve your sunscreen performance. 

But a good dispersion is more than a simple mixture!

Unique processing and blending are required to bring more control over density and distribution of particle aggregates as well as the dispersion stability profile. Mineral UV filter particles must be evenly dispersed to help achieve consistent SPF and proper UVA protection in the formula.

This talk will explore the challenges of sunscreen formulation and how high-quality mineral UV dispersions can streamline the design process for predictable and reliable protection

Angèle GAZON

04:05 PM - 04:25 PM    Conference Room

Predictive Planning with AI - ZOZIO

Conferences

Today's volatile supply chains, recruitment challenges, and changing consumption patterns are creating unprecedented uncertainty in the cosmetic industry. Production predictability has been upended by social media influences, withviral content regularly triggering unexpected demand spikes or slowdowns that force manufacturers to adapt in real-time.

Engineer Bastien Triclot, with degrees from Arts et Métiers and Karlsruhe Institute of Technology, addresses these challenges through his company Zozio. After seven years working closely with industry leaders like L'Oréal and LVMH, he developed the ROBIN platform - a comprehensive solution featuring a digital twinof factory processes and AI-enhanced real-time scheduling. This "Waze of industry" eliminates uncertainties, drives efficient decision-making, and ensures seamless information sharing across teams to capitalize on every opportunity.

George ELIAS

04:25 PM - 04:45 PM    Conference Room

Predicting the Beauty Evolution for all: Mechanochemistry's Crystal Ball - WAB GROUP

Conferences

In the rapidly evolving world of cosmetics, the ability to predict and adapt to future trends is par-amount. Mechanochemistry, a cutting-edge field that leverages mechanical force to drive chem-ical reactions, offers unprecedented opportunities for innovation. By integrating predictive scale-up parameters in mechanochemical processes, it is possible to anticipate consumer needs and synthesize fragrance ingredients that are not only effective but also sustainable. This presenta-tion will explore how mechanochemistry serves as a "crystal ball," enabling us to foresee and shape the future of beauty.

At the heart of mechanochemistry lies the ability to modify molecular structures through me-chanical energy, drastically reducing the need for solvents and reducing the environmental im-pact. This technique allows for precise control of reaction pathways, leading to the creation of novel compounds with enhanced properties. For instance, the application of continuous mecha-nochemical methods can result in the synthesis of more stable and potent active ingredients, which are crucial for the next generation of cosmetic products. By predicting the settings of these reactions, the development process can be streamlined, ensuring that new formulations meet the highest standards of performance and safety.

 

Moreover, predictive mechanochemistry extends its benefits to industrial-scale conditions, opti-mizing large-scale production processes. By forecasting the behavior of mechanochemical re-actions from small-scale laboratory settings to full-scale industrial production, companies can enhance efficiency, reduce waste, and minimize energy consumption. This predictive capability not only optimizes product development but also enhances supply chain efficiency and reduces time-to-market. For high-level managers, the ability to forecast market trends and consumer preferences through advanced data analytics means making informed strategic decisions. Em-bracing mechanochemistry and its predictive large-scale potential allows companies to stay ahead of the curve, delivering innovative and sustainable beauty solutions that resonate with consumers worldwide while significantly contributing to environmental savings. Additionally, the presentation will discuss customer trials, highlighting real-world applications and feedback that drive continuous improvement in product development.

Philippe ROTH

04:45 PM - 05:05 PM    Conference Room

How can Prediction Become Reality in the Supply Chain of Cosmetic Products? ANTARES VISION SPA

Conferences

In a world where transparency, authenticity, and sustainability are no longer optional, predicting what happens to each product—from production to end consumer—is a competitive advantage. This is possible only if products speak: through a unique digital identity, they become data points that generate end-to-end visibility.

Our speech will explore how the digital transformation of the supply chain—powered by Antares Vision Group’s Diamind Connect platform—enables predictive capabilities: identifying risks of market diversion in advance, anticipating product recalls, validating sustainability claims with real data, and preparing for upcoming regulatory frameworks like Sunrise 2027 and the Digital Product Passport.

Prediction is not magic—it’s data, visibility, and the ability to act before problems arise. And it starts with a connected product.

Carlo RAVELLI

Thursday, September 11

12:00 AM - 01:00 AM   

Gravel AI

Autre

Gravel is a next-gen Industry Intelligence Platform for Personal Care & Beauty. In this webinar, we'll show you cutting-edge AI tools on ingredient trends and formulation creation, built for ingredient suppliers and beauty product formulators

Karen Ho

12:00 AM - 01:00 AM   

MONTANIER

Autre

Christine GUEZENEC

Wednesday, October 15

12:30 PM - 01:30 PM   

Centre Val de Loire Region

Conferences

More details to come 

01:45 PM - 02:25 PM    Conference Room

DESIGN THE DESIRE. Reinventing innovation in beauty, from consumer needs to the perfect product. AI-Powered, human-Driven - CENT DEGRES

Conferences

Reinventing innovation in beauty.

From consumer needs to the perfect product - AI-Powered, Human-Driven

How can we develop more targeted innovations that respond to consumers’ deeper, unmet needs?

How can we optimize the development process by bringing together all key stakeholders—marketing, formulation, design, and packaging—simultaneously and without silos?

A roundtable discussion featuring teams from Centdegrés, a creative agency, and IBG (Innovative Beauty Group), a next-generation full-service structure specializing in innovation.

These teams—market and brand experts, designers, formulation researchers, and packaging engineers—share their experience leading an innovative project:

- It begins with an in-depth analysis, leveraging AI to anticipate trends before they emerge, by uncovering and mapping consumers’ latent needs.

- One key need is identified and validated by industry experts.

- The product development process is described, based on collective intelligence between disciplines, with AI acting as an accelerator for human expertise.

- The finished product is unveiled.

- The process is compared to a traditional project management approach, highlighting the benefits (and/or competitive advantages).

+An open discussion with the audience.

Elie PAPIERNIK Valerie FEUILLET Gwenaelle OGOR

02:30 PM - 02:50 PM    Conference Room

Measuring sustainability by what we do: the rise of activity-based impact - ECODESIGNCLOUD

Conferences

Sustainability in the cosmetic industry is evolving — and so must the way we measure impact.

For years, environmental reporting has relied on spend-based metrics: the more a company spends on packaging, logistics, or retail displays, the higher the presumed environmental footprint. But this outdated model hides reality — it makes the environmental consequences of everyday decisions invisible and prevents companies from identifying where change is most needed.

Today, the shift is underway. Industry leaders like L’Oréal are pioneering a move toward activity-based impact measurement — a more precise and actionable approach grounded in Life Cycle Assessment (LCA) and real-time data. This model enables companies to assess environmental consequences not just by what they spend, but by what they do — from product design to in-store execution.

At EcoDesignCloud, we power this transition with a platform that makes environmental impact clear, accessible, and actionable. Our real-time scoring tools allow teams across marketing, procurement, design, and sustainability to instantly evaluate and compare the footprint of each choice — directly when the decision is made.

In this session, you’ll discover how cosmetics brands, retailers, and suppliers can:

- Move beyond spend-based estimates to leverage accurate, activity-level environmental data

- Integrate real-time LCA tools into product, POSM, and retail marketing workflows

- Empower teams with intuitive, science-backed scoring to guide better, faster decisions

- Strengthen ESG reporting and reduce greenwashing risks with traceable impact metrics

- Foster a culture of decision-led sustainability, where every stakeholder becomes an active contributor to change

This shift is not just technical — it’s strategic.

By embracing activity-based impact management, beauty companies can optimize performance, reduce risk, and embed sustainability into the core of daily operations — in full alignment with the expectations of today’s consumers and tomorrow’s regulations.

At EcoDesignCloud, we turn invisible impacts into visible, measurable outcomes — because every decision counts.

Benoît COUCHON

02:50 PM - 03:10 PM    Conference Room

Next-Generation Beauty: predictive formulation and made-to-order product personalization - PROSE

Conferences

The cosmetics market has become highly segmented, offering targeted solutions for specific concerns. However, these are often insufficient to address the diversity of consumer needs. A rising demand for personalized solutions reflects a shift in expectations: consumers seek responses tailored to their unique profile. At Prose, we’ve developed a new model that integrates data science, algorithmic and formulation expertise to deliver highly personalized, evolving beauty products, setting the foundation for a new era in cosmetic care.

• A data-driven formulation process:

Our approach starts with a digital consultation grounded in deep scientific knowledge of hair and skin biology. More than 85 key data points are collected, from physical attributes such as skin and hair types to lifestyle and environmental factors. These inputs are processed by proprietary algorithms developed in-house by formulation experts and AI engineers to generate personalized products and custom routine recommendations that precisely address each consumer’s unique needs.

• A fully personalized user experience:

Personalization extends throughout the user journey. Individual diagnostic scores identify key concerns such as scalp dryness, hair damage, or skin sensitivity. Products are further customized based on preferences (fragrance, vegan or silicone-free options). Our algorithms determine optimal ingredient combinations and concentrations to maximize efficacy. Each customer receives a complete personalized routine with detailed ingredient breakdowns, individualized usage instructions, and custom packaging.

• Review & Refine™: A feedback loop for continuous performance optimization: 

Our iterative feedback system, Review & Refine™, integrates customer inputs to adjust formulations with each reorder and reflect new or changing needs as well as preferences. This loop not only enhances individual satisfaction but also informs collective improvements to our algorithmic models through real-time A/B testing and ingredient experimentation. It enables us to anticipate and act on evolving consumer needs, and strengthen our ability to predict formulation adjustments that will improve performance. As a result, over 70% of users report higher satisfaction following product reformulation.

• Sustainable by design, made-to-order production:

All formulations are manufactured on-demand using a proprietary, fully automated production system that can produce over 60,000 distinct products daily. This model avoids overproduction and waste, offering a more sustainable alternative to traditional mass manufacturing, demonstrating that personalized production can be both scalable and efficient.

• Shaping the future of cosmetics through predictive innovation:

By combining scientific expertise with artificial intelligence, our approach redefines industry standards and introduces a new paradigm in cosmetics. It enables more informed product development, anticipates consumer needs, and delivers a highly personalized, sustainable, and sensory beauty experience, designed for long-term performance and continuous user satisfaction.

Marie MIGNON

03:15 PM - 03:35 PM    Conference Room

From Cosmetopeia to Circular Intelligence: Leveraging AI to Reinvent Sustainable Cosmetic Innovation - ME NOW !

Conferences

In a world demanding faster innovation with reduced environmental impact, predictive intelligence is becoming the cornerstone of next-generation cosmetic development. This presentation will showcase a pioneering AI-powered framework that merges deep learning, molecular systems biology, and circular economy principles to revolutionize how we discover, design, and deliver sustainable cosmetic solutions.

Central to this approach is a proprietary bio-intelligence platform, built upon a rich cosmetopeia: a structured exploration of traditional uses, ethnobotanical knowledge, and biodiversity-linked compounds. Combined with a molecular graph of over 2 million natural substances — including botanical extracts and agro-industrial by-products — this system uses deep Bayesian networks and QSAR modeling to:

1. Identify novel, high-performance bioactives rooted in traditional knowledge but validated through predictive toxicology, efficacy, and mechanistic modeling.

2. Predict synergistic effects, biological activity, and formulation behavior via AI-generated digital twins, reducing the need for exhaustive in vitro or in vivo testing.

3. Transform waste into value by mapping the bioactive potential of food and agricultural side streams, unlocking upcycled ingredients with multifunctional benefits.

4. Support traceable, eco-conscious decisions from sourcing to product launch, integrating AI-driven insights with biodiversity protection and regulatory alignment.

By combining cosmetopeia, circularity, and computational foresight, this approach offers a new blueprint for eco-designed innovation — where performance, heritage, and environmental stewardship converge to create the cosmetics of tomorrow.

Coralie EBERT

03:35 PM - 03:55 PM    Conference Room

Valorization of bioresources beyond data - GREENPHARMA

Conferences

How to valorise a bioresource ? 

One strategy is based on the knowledge of its molecular constituents. Greenpharma has developed a unique natural compound database (GPDB) containing molecules, organisms that produce them, traditional usages, biological data and biological targets. From GPDB, we created two prediction tools: GAINS, to predict the molecular content of an extract and SELNERGY, to predict the biological activities of the molecules. This triptych supports decision-making on the market positioning, the optimisation of an extract and finally accelerates the development of active ingredients. 

A case study will be presented.

Quoc Tuan DO

03:55 PM - 04:15 PM    Conference Room

Designing bioactive ingredients: predicting and unlocking plant potential through Precision Indoor Farming - ORIUS & NAEMOS

Conferences

This conference will be led by two speakers: one from Orius, who will discuss experimental plant cultivation methods, and one from Naemos, (an Orius client), who will talk about applications for the cosmetics industry.

Where do plant properties come from? Why do certain species naturally produce powerful active compounds like polyphenols, alkaloids, or terpenes—molecules highly sought after by the cosmetics industry? What if we could guide plants to boost the exact molecules we need?

In nature, this remains nearly impossible. There are simply too many unpredictable variables - weather, sunlight, nutrient availability etc.

Enter precision indoor farming, taking full control over the entire production process : from utilization of inputs like energy, water, and nutrients to the precise production of targeted bioactive compounds. Every parameter is precisely controlled and the environment fine-tuned to produce plants with extraordinary properties. For cosmetics brands, the benefits are clear: access to unique, high-performing, and consistently standardized ingredients — alongside a reduced carbon footprint and a controlled environmental and social impact.

Still, the factors that influence a plant’s metabolite profile are multiple and remain to be fully explored ranging from biotic stress (caused by living organisms) and abiotic stress (environmental factors such as temperature, humidity or UV radiation). Optimizing a plant’s chemical composition to increase the concentration of a target molecule—while also maximizing yield and inhibiting toxic or undesirable compounds—requires a complex and delicate balance.

Given the myriad of variables that interact in complex ways, it is practically impossible to test every possible combination of growth conditions through traditional trial-and-error approaches, which is why a rational approach to experimental design is essential.

To address this challenge, Orius has developed a predictive, experimental-based approach for identifying optimal cultivation conditions tailored to specific client goals. By leveraging experimental data—testing key influencing factors, a statistical model capable of predicting the most promising scenarios was developed.

To validate our in-silico prediction models, developed through computer-based simulation, we conducted several independent experiments implementing the optimal light and temperature parameters suggested by our simulations. Results strongly confirmed our predictions: temperature and lighting adjustments doubled total flavonol content in one case study, while optimized light spectra increased sinapic acid levels 4 times compared to non-optimized culture. Beyond these quantitative improvements, our environmental conditions induced the production of ellagic acid derivatives completely absent under standard conditions. This demonstrates that precise environmental modulation offers unprecedented predictability in inducing specific phytochemical profiles, while also enhancing existing compound yields and activating dormant biosynthetic pathways with previously untapped potential.

This presentation aims to showcase our data processing methods used to develop predictive models, highlight selected results and reliability, and illustrate a few practical application cases.

Specifically, in the development of cosmetic active ingredients, precision indoor farming technology allows to elicit from the plant its most potent bioactive compounds, triggering holistic and high-performing responses within the skin-ecosystem. Even more, precision indoor farming enables the controlled reintroduction of rare or neglected plant species that are no longer accessible through traditional cultivation methods.

Paul-Hector OLIVER Estelle LOING

05:15 PM - 06:15 PM    Conference Room

COSMETIC 360 AWARDS

Ceremony

Thursday, October 16

09:30 AM - 09:50 AM    Conference Room

Digital tools supporting sustainable cosmetic - AIMPLAS

Conferences

The cosmetics sector has undergone significant changes in recent years due to the evolution of consumer habits. Both security and current environmental problems are two critical aspects having a great impact on the cosmetic industry with a shift taken by consumers, concerned about safety and the ecological impact, and thus by stakeholders of this branch of activity. 

Currently, research and innovations in this area are being addressed towards more natural sourced and sustainable products, thus reducing the use of petrochemical components that might be harmful to consumers and the environment. Moreover, the current concerns are accompanied by legislative changes, like the change in the legislation on microplastics (regulation (EU) 2023/2055) aimed at restricting the use and generation of synthetic polymer microparticles. In addition, there is a need for the alignment of the sustainability concept between branches and consumers not only concerning the final product but also packaging. In this sense, the cosmetic sector has to meet with novel regulations aiming at stopping the continuous growing generation of packaging waste and their impact in the environment, and pushing the transition towards circular economy models, like it is the Regulation (EU) 2025/40 of the European Parliament and of the Council of 19 December 2024 on packaging and packaging waste.

An important key driver to manage the impacts of the cosmetics industry is the implementation of the sustainable by design concept, which can be supported by digitalization along the value chain. Thus, the use of digital tools will allow to predict, enhance and guarantee both security and environmental impacts, along with the economic sustainability. The developments and innovations through the utilization of software and computation tools for the prediction of lack information, such as Quantitative Structure-Activity Relationship (QSAR) related with machine learning, will allow for instance, the prediction of toxicity for natural or biobased ingredients in cosmetic formulation, the design of new synthesis routes for raw materials such as green solvents, or the eco-design of sustainable and safe packaging.

AIMPLAS, the Plastic and Polymer Technology Centre in Spain, works in close collaboration with companies to develop new materials supporting QSAR models with a dual purpose: reducing the experimental tests by toxicity prediction and interaction between different molecules, and helping to feed the machine learning to improve it, such as in the on-going European SOLRESS project to develop new green solvents for the cosmetic industry. In the case of new ingredients, such as copolymers, crosslinkers, or novel microencapsulation materials, these tools have a great potential to predict the possible allergy on skin and ensure the security of the final consumers. Regarding sustainable packaging, the ECOSMARTPACK4.0 project introduces digitally traceable primary packaging to predict the stocks and control the logistics along the value chain, opening the window for reusable packaging as an alternative to single-use packaging, also predicting the carbon footprint reduction with multiple uses.

By Rosa Gonzalez Leyba, Packaging Cluster Leader, and Juliette Thomazo Jégou, Researcher in Synthesis Department

Alicia NADERPOUR PEÑALVER

09:55 AM - 10:15 AM    Conference Room

Predicting Beauty: Harnessing AI and Consumer Insight to Shape the Future - APTAR BEAUTY

Conferences

Aptar Beauty explores how predictive tools and trend intelligence can shape the future of cosmetics. This presentation will showcase two case studies: a technology-driven AI model that forecasts compatibility test results for lotion pumps, accelerating development cycles and reducing waste; and a consumer-driven fragrance innovation, born from deep trend analysis and a nuanced understanding of evolving desires. Beyond these examples, we will share our broader approach to navigating uncertainty.

Xavier JOSEPH

10:40 AM - 11:00 AM    Conference Room

From skin omics to predictive cosmetic innovation: an AI-guided framework for bioactive discovery and precision cosmetics - BIOLEVATE

Conferences

In the search for next-generation cosmetic solutions, anticipating biological complexity is essential to designing products that are more effective, more targeted and more respectful of the environment. Traditional approaches are often inadequate when it comes to deciphering the molecular heterogeneity of skin disorders. To fill this gap, we have developed a generalisable AI-native transcriptomic framework that relies on large language models (LLMs) to analyse, structure and interpret multimodal omics data in a predictive and evolutionary manner.

Using keloids, a fibro-inflammatory skin disease, as a representative model, we integrated differential gene expression, protein interaction networks and dual-mode enrichment analyses with LLM-based synthesis. This modular approach enabled us to identify distinct molecular signatures (fibrosis, inflammation, metabolism, apoptosis, transcriptional regulation) and revealed biological architectures specific to the subtypes of the pathology.

Our pipeline links this knowledge to a wide range of biomedical databases to discover exploitable molecular hubs and repositionable bioactive compounds. This creates opportunities for targeted cosmetic strategies, from skin type stratification to precision formulation and repurposing of existing ingredients. Our work illustrates how AI-driven transcriptomics can transform skin data into predictive tools for innovation, sustainability and personalisation in the cosmetics industry.

Maxime GOBIN

11:00 AM - 11:20 AM    Conference Room

The Beauty of Longevity, a New Paradigm - L'OREAL

Conferences

11:20 AM - 11:40 AM    Conference Room

Neurons as a sensor. Digitize biology to predict compound efficacy - NETRI

Conferences

Neurons transmit information within the human body. They process complex information in central nervous system or relay information from organs throughout the body via peripheral nervous system, they are natural sensors able to integrate biological information and transforming it into electrical data. 

NETRI leverages this natural process to digitize human biology. Using its Neurons as a sensor (NaaS) suite wich includes calibrated neuronal cells, Organs-on-chip hardware, AI-based software, digital libraries and methods. NETRI aims to demonstrate that the digital signatures (neural activity recordings) of different ingredients can predict their curing efficacy against pathologies (eczema…) or irritations or their toxicity. By extracting the digital signature and comparing it with a reference compound, it would be possible to predict the efficacy and/or mechanism of action of ingredients in our database. 

Our approach lies at the frontier between digital technology and biology. The unique and robust data generated will add an innovative approach to scientific publications. It will save time and increase sensitivity in high-throughput screening of active ingredient efficacy and toxicity, and reduce the risk of failure in clinical trials.

Alexandre GUICHARD

02:20 PM - 02:40 PM    Conference Room

Predicting Beauty: Virtual Twins and AI in the Future of Cosmetic Innovation - BIOVIA DASSAULT SYSTEMES

Conferences

As the cosmetics industry faces growing pressure to deliver personalized, high-performing, and sustainable solutions, predictive science is becoming a strategic imperative. Leading companies are now turning to Virtual Twin of the Human—such as skin and hair models—combined with AI and deep learning to transform how beauty and skincare formulated products are designed, tested, and delivered. This session will explore how Dassault Systèmes’ Virtual Twin Experienceleverages generative AI, deep learning, and predictive modeling to simulate biological interactions, optimize formulations, and reduce reliance on physical testing. By virtually recreating the structure and function of skin, companies can forecast product efficacy, safety, and stability with unprecedented accuracy.

Key takeaways will include how innovators are:

•Building in silico skin modelsto simulate product behavior and ingredient interactions

•Using Generative AI to design novel formulations and predict performance outcomes

•Integrating lab workflows with digital design to accelerate development and ensure traceability

•Leveraging predictive insights to enhance sustainability, safety, and regulatory compliance

This session offers a forward-looking view into how Virtual Twins and AI are redefining cosmetic science—making it faster, more personalized, and more responsible.

Reza SADEGHI

02:40 PM - 03:00 PM    Conference Room

Superior prediction of shampoo formulation phase stability using Large Language Models - TINY PRED

Conferences

Erwan BIGAN

03:00 PM - 03:20 PM    Conference Room

Leveraging CLP Classification to Predict the Ecotoxicological Hazard of Cosmetic Formulations: A Strategic Approach - NATURAKEM

Conferences

In the pursuit of sustainable cosmetics, assessing and mitigating the environmental impact of formulations is a growing challenge. While cosmetic products are exempt from CLP classification, its methodology offers a valuable framework for predicting ecotoxicological hazards based on ingredient-level data.

This conference will explore how CLP classification can be strategically leveraged to anticipate the environmental impact of cosmetic formulations. By utilizing ingredient hazard data, classification algorithms, we can support decision-making, optimize formulation strategies, and enhance sustainability efforts.

Through case studies, we will demonstrate how this approach provides actionable insights for formulators and regulatory professionals, facilitating the development of environmentally responsible cosmetics.

Join us to discover how applying CLP principles can drive innovation and sustainability in cosmetic formulation.

Nelly VAN CHINH

03:20 PM - 03:40 PM    Conference Room

Unlocking the full potential of fragrance creation with predictive models - DSM FIRMENICH

Conferences

 In the competitive world of fragrance creation, scent performance is a must have. Our cutting-edge, AI-powered platform harnesses the extensive knowledge about our renowned palette of ingredients and advanced modeling to help crafting scents that go further - longer-lasting, more diffusive, and performance-optimized by design. Fueled by big data and deep olfactive expertise, it transforms complex ingredient dynamics into clear, actionable guidance — turning creative instinct into measurable impact. Whether enhancing an existing formula or guiding a new one from scratch, it acts as an AI-powered fragrance intelligence engine, complementing the craftmanship of our perfumers, enhancing creative freedom while ensuring measurable results. 

Key highlights: 

• Fragrance innovation: discover how AI is driving the next wave of fragrance development across applications, creating scents that deliver superior consumer delight at key moments of truth.
• Fragrance performance powered by AI: learn about our advanced AI models that predict and optimize fragrance blooming, trail, long lastingness, ensuring an unparalleled fragrance experience.
• Data science: explore the robust data integration that informs our AI models (consumer data & fragrance data) and discover how they optimize performance models for superior performance. 

Scientific advancements: 

• Predictive AI model: our models combine extensive data on all parameters affecting fragrance experience at key moments of truth, providing ingredient-specific recommendations for optimal fragrance formulation, allowing perfumers to maximize performance.
• Formula analysis and optimization: accelerate the fragrance creation process with AI-driven insights, reducing rework and testing time.
• Brand differentiation: offer unique, high-performing fragrances that stand out in the market. 

Our performance model platform is setting new standards in fragrance creation, bringing together art and science to shape the future of scent, enhancing consumer experience and delight through the power of AI.

Bastien HAMOUNIC

03:40 PM - 04:00 PM    Conference Room

SPF Prediction by Design: The role of mineral UV filters dispersion and optimized formula chassis - SOLABIA

Conferences

What if you had a reliable tool to predict your formula SPF ?

Formulating sunscreen requires achieving targeted SPF and UVA protection, which often involves numerous trials, consuming significant time and energy. Mineral UV dispersions are crucial in modern suncare product design, offering reliable, optimized, consistent, and predictable protection. High-quality dispersions with optimized blend and spreadability enable formulators to simulate and predict final SPF in their formulas. A game changer tool to predict and improve your sunscreen performance. 

But a good dispersion is more than a simple mixture!

Unique processing and blending are required to bring more control over density and distribution of particle aggregates as well as the dispersion stability profile. Mineral UV filter particles must be evenly dispersed to help achieve consistent SPF and proper UVA protection in the formula.

This talk will explore the challenges of sunscreen formulation and how high-quality mineral UV dispersions can streamline the design process for predictable and reliable protection

Angèle GAZON

04:05 PM - 04:25 PM    Conference Room

Predictive Planning with AI - ZOZIO

Conferences

Today's volatile supply chains, recruitment challenges, and changing consumption patterns are creating unprecedented uncertainty in the cosmetic industry. Production predictability has been upended by social media influences, withviral content regularly triggering unexpected demand spikes or slowdowns that force manufacturers to adapt in real-time.

Engineer Bastien Triclot, with degrees from Arts et Métiers and Karlsruhe Institute of Technology, addresses these challenges through his company Zozio. After seven years working closely with industry leaders like L'Oréal and LVMH, he developed the ROBIN platform - a comprehensive solution featuring a digital twinof factory processes and AI-enhanced real-time scheduling. This "Waze of industry" eliminates uncertainties, drives efficient decision-making, and ensures seamless information sharing across teams to capitalize on every opportunity.

George ELIAS

04:25 PM - 04:45 PM    Conference Room

Predicting the Beauty Evolution for all: Mechanochemistry's Crystal Ball - WAB GROUP

Conferences

In the rapidly evolving world of cosmetics, the ability to predict and adapt to future trends is par-amount. Mechanochemistry, a cutting-edge field that leverages mechanical force to drive chem-ical reactions, offers unprecedented opportunities for innovation. By integrating predictive scale-up parameters in mechanochemical processes, it is possible to anticipate consumer needs and synthesize fragrance ingredients that are not only effective but also sustainable. This presenta-tion will explore how mechanochemistry serves as a "crystal ball," enabling us to foresee and shape the future of beauty.

At the heart of mechanochemistry lies the ability to modify molecular structures through me-chanical energy, drastically reducing the need for solvents and reducing the environmental im-pact. This technique allows for precise control of reaction pathways, leading to the creation of novel compounds with enhanced properties. For instance, the application of continuous mecha-nochemical methods can result in the synthesis of more stable and potent active ingredients, which are crucial for the next generation of cosmetic products. By predicting the settings of these reactions, the development process can be streamlined, ensuring that new formulations meet the highest standards of performance and safety.

 

Moreover, predictive mechanochemistry extends its benefits to industrial-scale conditions, opti-mizing large-scale production processes. By forecasting the behavior of mechanochemical re-actions from small-scale laboratory settings to full-scale industrial production, companies can enhance efficiency, reduce waste, and minimize energy consumption. This predictive capability not only optimizes product development but also enhances supply chain efficiency and reduces time-to-market. For high-level managers, the ability to forecast market trends and consumer preferences through advanced data analytics means making informed strategic decisions. Em-bracing mechanochemistry and its predictive large-scale potential allows companies to stay ahead of the curve, delivering innovative and sustainable beauty solutions that resonate with consumers worldwide while significantly contributing to environmental savings. Additionally, the presentation will discuss customer trials, highlighting real-world applications and feedback that drive continuous improvement in product development.

Philippe ROTH

04:45 PM - 05:05 PM    Conference Room

How can Prediction Become Reality in the Supply Chain of Cosmetic Products? ANTARES VISION SPA

Conferences

In a world where transparency, authenticity, and sustainability are no longer optional, predicting what happens to each product—from production to end consumer—is a competitive advantage. This is possible only if products speak: through a unique digital identity, they become data points that generate end-to-end visibility.

Our speech will explore how the digital transformation of the supply chain—powered by Antares Vision Group’s Diamind Connect platform—enables predictive capabilities: identifying risks of market diversion in advance, anticipating product recalls, validating sustainability claims with real data, and preparing for upcoming regulatory frameworks like Sunrise 2027 and the Digital Product Passport.

Prediction is not magic—it’s data, visibility, and the ability to act before problems arise. And it starts with a connected product.

Carlo RAVELLI