EBR Queue Management System VS Dermaself.it

Dermaself.it's answer:

• Dolce&Gabbana Beauty
• OVS
• San Francisco Research Institute

Dermaself.it's answer:

Dermaself goes beyond traditional AI skin analysis by connecting what it sees on the skin with what is inside skincare products. Its proprietary Ingredient Intelligence analyzes product INCI lists and ingredient compatibility to build personalized routines in which products are selected to work effectively together.

Starting from a simple selfie, Dermaself identifies multiple visible skin concerns and translates the analysis into actionable, personalized skincare recommendations from a brand or retailer’s own product catalog.

What makes Dermaself unique is its routine-first approach: instead of simply matching a user with individual products, it creates complete skincare routines based on skin needs, product ingredients and compatibility.

Built specifically for beauty brands and retailers, Dermaself can be integrated across e-commerce, in-store experiences, pop-ups and events, bringing the same personalized skincare journey across multiple customer touchpoints.

Dermaself.it's answer:

Dermaself combines AI-powered skin analysis, scientific expertise and Ingredient Intelligence in a single solution built specifically for beauty brands and retailers.

While many solutions focus primarily on identifying skin concerns or recommending individual products, Dermaself goes further by analyzing product ingredients and their compatibility to create complete, personalized skincare routines from a brand or retailer’s own catalog.

Dermaself is also designed to adapt to different business needs and customer journeys. It can be integrated into e-commerce platforms, physical retail, pop-ups and events, allowing brands to offer a consistent personalized skincare experience across channels.

Its combination of selfie-based skin analysis, ingredient-level intelligence and routine-based recommendations makes Dermaself a comprehensive solution for brands looking to turn personalization into meaningful product discovery and a more guided skincare experience.

Dermaself.it's answer:

Dermaself’s primary audience is beauty and skincare brands, retailers and e-commerce businesses looking to introduce AI-powered personalization into their customer experience.

The platform is designed for companies that want to help consumers better understand their skin, navigate complex product assortments and discover the most relevant products and routines for their individual needs.

Dermaself is particularly suited to businesses looking for a flexible solution that can work across e-commerce, physical retail, pop-ups and beauty events, from plug-and-play integrations to customized projects for larger brands and retailers.

Dermaself.it's answer:

Dermaself was founded in 2023 from a real and very specific need: finding the right products for acne-prone skin without having to consult a dermatologist every time the skin changed or a new product was introduced.

The idea was to use AI to make dermatological knowledge more accessible, creating a technology capable of analyzing the skin from a simple selfie and helping users understand what their skin actually needs.

Dermaself was developed by combining over 30 years of dermatological research and clinical expertise from Derming, led by dermatologist Dr. Adele Sparavigna, with AI and computer vision technology.

What started as a solution focused on acne-prone skin evolved into a broader skin analysis technology capable of assessing multiple visible skin concerns. Today, Dermaself brings this technology to beauty brands and retailers, helping them connect skin analysis with their product catalogs and guide consumers toward the most relevant products and skincare routines.

The idea at the heart of Dermaself remains the same: using AI to make expert skincare guidance more accessible, immediate and scalable.

Dermaself.it's answer:

Dermaself is built on proprietary AI and computer vision technology developed in-house. Its machine learning models analyze facial images to identify and assess multiple visible skin concerns from a simple selfie.

Its technology includes two patented solutions developed in collaboration with Politecnico di Milano and Politecnico di Torino: Selfie Color Normalization, designed to standardize images and improve the consistency of skin analysis across different devices and lighting conditions, and Selfie Anonymization, developed to protect users’ identity while preserving the visual information required for skin analysis.

Alongside computer vision, Dermaself has developed its proprietary Ingredient Intelligence technology, which analyzes cosmetic formulations and ingredient compatibility to connect skin analysis results with relevant products and build complete skincare routines.

Dermaself’s technology is continuously developed and refined internally, combining artificial intelligence, computer vision, cosmetic science and dermatological expertise.