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Haut.AI Introduces "Deep C.A.R.E." Proprietary AI Recommendation System for More Context-Aware Skincare Matching


News provided by

Haut.AI

Apr 29, 2025, 03:00 ET

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Deep C.A.R.E. by Haut.AI
Deep C.A.R.E. by Haut.AI

Haut.AI, a leader in AI-powered skincare technology, has launched Deep C.A.R.E. (Context-aware AI Recommendation Engine), a next-generation system that delivers highly personalized, transparent, and scientifically backed skincare recommendations. Unlike traditional engines, Deep C.A.R.E. uses advanced skin profiling and proprietary product-tagging AI to analyze product metadata and individual skin conditions—accounting for factors like texture, tone, and evolving concerns—to provide tailored matches with clear explanations. This approach enhances trust, mimics the precision of in-person consultations, and offers brands actionable insights into product demand and inventory gaps, enabling smarter development and more responsive consumer solutions.

TALLINN, Estonia, April 29, 2025 /PRNewswire-PRWeb/ -- Haut.AI, a leader in scientifically backed, AI-driven technology for the beauty industry, proudly introduces Deep C.A.R.E., a new context-aware skincare recommendation engine designed to deliver more precise, transparent, and evidence-based product matches. With the help of Haut.AI's proprietary AI-powered product tagging intelligence and more expansive, multifaceted skin profiling, Deep C.A.R.E. takes personalization to the next level. It understands skin on a deeper level, making skincare recommendations more accurate, scientifically sound, and tailored to the individual's skincare needs.

Deep C.A.R.E. stands for Deep Context-aware AI Recommendation Engine. At the heart of Deep C.A.R.E. is a sophisticated product tagging model that analyzes product metadata across multiple dimensions. By examining key ingredients, intended use cases, and existing skin concerns, the system categorizes products based on factors such as skin type, skin concerns, skincare routines, and other critical factors. This allows a more refined, dynamic labeling system that moves beyond traditional categorizations.

"We saw a clear need for more transparent and easily understood AI recommendations. Deep C.A.R.E. improves explainability. It brings AI skincare closer to an in-person consultation," - Anastasia Georgievskaya, CEO of Haut.AI.

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"AI adoption in beauty is growing rapidly, but so is skepticism about its reliability," said Anastasia Georgievskaya, CEO of Haut.AI. "We saw a clear need for more transparent and easily understood AI recommendations. Deep C.A.R.E. improves explainability. Consumers receive recommendations that feel more personal and are supported by clear science-backed logic. It brings AI skincare closer to an in-person consultation—where skin is assessed, individual concerns are identified and explained, and tailored product recommendations are offered."

Unlike conventional recommendation engines that rely on broad skin classifications, Haut.AI's Deep C.A.R.E. takes a deeper approach. It creates multifaceted skin profiles that account for subtle variations in texture, tone, and evolving skin conditions—factors influenced by product use, environmental changes, and lifestyle shifts. Rather than a one-size-fits-all approach—such as recommending a cream for dry skin—Deep C.A.R.E. can distinguish between dry skin with acne, dry skin with hyperpigmentation, or other unique conditions. By continuously analyzing skin attributes, the system refines its recommendations in real time, ensuring that users receive the most relevant and effective product matches.

One standout feature of Deep C.A.R.E. is its ability to clearly outline why a product is recommended. Consumers no longer have to blindly rely on vague AI suggestions, as each recommendation comes with an explanation detailing which skin concerns the product addresses and why it was selected. This builds consumer confidence and strengthens trust in AI-driven beauty solutions.

Beyond personalized recommendations, Deep C.A.R.E. provides brands with critical insights into inventory gaps and consumer demand. By analyzing product recommendation trends, brands gain insights into which products are frequently matched to specific skin profiles and where gaps exist in their product offerings.

For example, the Deep C.A.R.E. may reveal a high volume of recommendation requests for under-eye concerns, but the available product catalog does not include a targeted solution for this issue. This helps brands to optimize their product development strategies to ensure their products align with real-world consumer needs—as well as reduce overproduction of redundant formulations, streamline their supply chain, and make more informed development decisions.

Unlike static rule-based recommendation systems, Haut.AI's Deep C.A.R.E. is fully automated and instantly adaptable. It continuously integrates new product launches and ingredient updates in real time, ensuring recommendations remain current and relevant. Brands benefit from an updated inventory system, while consumers always receive the most precise skincare solutions based on the latest data.

About Haut.AI

Haut.AI is a pioneer in AI-driven beauty and skincare solutions, providing cutting-edge tools that empower brands, retailers, and consumers with scientifically backed insights. By combining AI technology with deep dermatological expertise, Haut.AI is shaping the future of personalized skincare, making high-quality recommendations accessible, transparent, and truly effective.

Media Contact

Anastasia Belkine, Haut.AI, 372 51000000, [email protected], www.haut.AI

SOURCE Haut.AI

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