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November 17, 2023

| 5 mins read

How AI Skin Analysis Technology Takes the Lead Over

How AI Skin Analysis Technology Takes the Lead Over

The beauty industry has welcomed artificial intelligence (AI) with open arms across its tiers, witnessing a booming horizon of the technology’s influence. Brands have adopted AI beauty to primarily address customer pain points, including waste and hygiene due to community testers and samples.

As AI continues to sweep the beauty industry, several innovations - from virtual try-ons to computer vision and AI-based recommendations - are redefining brand-customer dynamics. Amid this evolving landscape emerges AI skin diagnosis technology.

According to a report, the worldwide adoption of AI for skincare will double by 2027.

Over the last several years, AI skin analysis has rapidly transformed how people shop for skincare products and treat their core skin concerns. Modern shoppers value personalised suggestions while buying new products, particularly when it comes to skin treatments and skincare. Beauty brands are deploying this powerful tech to provide customers with accurate skin assessments in seconds and recommendations tailored to their unique skin conditions.

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Read on to learn how AI beauty is revolutionising the customer skincare journey.

Traditional Skincare Methods and Their Limitations

Traditional skincare regimens are deeply rooted in cultural practices and natural remedies. These methods, from ancient herbal concoctions to time-honoured rituals, have been passed down through generations. However, various traditional skincare practices lack scientific validation, relying on anecdotal evidence instead of proven efficacy. Additionally, these methods may not address modern skincare conditions or keep pace with the advancements in dermatological science.  

Besides, traditional methods have long relied on the discerning eyes of dermatologists who manually examine skin concerns. However, subjectivity and variability among these skilled practitioners result in inconsistent diagnoses, limiting the accuracy required for personalised skincare. Moreover, dependence on generic skincare routines without in-depth analysis neglects the unique needs of individual skin types.

As we traverse the historical landscape of skincare, the limitations of these conventional practices become apparent. This underscores the urgent need for a paradigm shift toward more advanced, technology-enabled solutions for a truly personalised and effective skincare regimen.

The Rise of AI in Skincare

When the market was not overloaded with multiple offers, and people had minimum access to information other than marketing pitches, the generic approach seemed logical and practical.

That said, the social media boom, increasing information sources, and (consequently) rising self-awareness have made people realise there is no magical pill to fit them all.

AI skin diagnosis solutions have disrupted this approach, marking a pivotal chapter in the skincare narrative. By interpreting vast datasets and using machine learning (ML) algorithms, AI beauty devices deliver precise insights into individual skin concerns. This data-driven approach compensates for the limitations of subjective human analysis, enabling tailored recommendations based on individual skin types, needs, and conditions.

This transformative approach improves the effectiveness and accessibility of skincare, driving an ecosystem where healthy, personalised beauty is at the forefront of innovation.

How AI Skin Analysis Works

An AI skin diagnosis tool detects across the U-zone and T-zone of users’ faces to determine their skin types. First, users activate the tool and take a snap of their selfies via the camera of their smartphones, tablets, or PCs.

The solution then feeds the captured images into the AI system, which processes the visual data to identify various skin attributes. AL algorithms extract critical features from the image, including wrinkle depth, pore size, pigment distribution, and the presence of blemishes. Additionally, ML algorithms analyse patterns within the extracted features to identify specific skin conditions or concerns, such as skin sensitivity, redness, and hydration levels.

The AI skin diagnosis system compares the extracted features with a vast database of skin data and corresponding clinical diagnoses to provide context and produce tailored insights.

Based on the analysis, the AI beauty tool generates a detailed report summarising the skin’s condition, identifying specific concerns, and offering personalised recommendations for skincare routines or treatments.

The result helps beauty brands match shoppers with the formulations most beneficial for their skin type. By providing fast and accurate results, AI skin diagnosis tools build on a more holistic skincare experience that customers can trust.

Benefits of AI Skin Analysis

Personalised Skincare Routines

AI skin diagnosis tools put large data chunks under the microscope to offer personalised skincare routines to shoppers. The AI algos examine dozens or hundreds of skin-related factors, including lifestyle, genetics, and environmental influences, to accurately determine a user’s unique skincare needs. That way, beauty brands can provide skincare formulations and tutorials to target the concerned skin condition.

Remember, brands focusing on personalisation enjoy up to a 40% sales hike compared to those hesitant to do so.

Enhanced Product Recommendations

By instantly detecting a customer’s skin health, AI skin diagnosis tools connect shoppers with the right products to address their specific conditions. This becomes particularly beneficial in helping shoppers sift through the ever-growing range of skincare products hitting shelves every week.

AI beauty solutions help both brands and customers better understand their skin health and build hyper-personalised shopping experiences that speak to their individual skincare concerns.

Prevention and Early Detection of Skin Conditions

AI beauty tools analyse changes in skin texture, colour, and patterns, allowing for the early detection of potential issues before they become visibly apparent. The algorithms compare individual skin data with historical data and identify anomalies that might indicate potential skin issues. That way, users can take proactive measures and personalise their skincare routines to offset the situation.

Furthermore, the ability of AI skin diagnosis solutions to process enormous databases improves the accuracy of detecting skin conditions, minimising the odds of misdiagnosis and ensuring targeted treatments.

Save Time and Money

Users can evaluate their skin through AI beauty solutions at their convenience in the comfort of their homes using any web-browsing device. This accessibility reduces the need for scheduling appointments and waiting times associated with traditional consultations, ultimately saving time.

In addition, AI-based analysis minimises routine check-ups for common skin concerns. This not only saves time but also reduces the frequency of visits to dermatologists, translating into cost savings for customers.

So, while an average visit to a dermatologist costs US$30-250, deploying AI skin diagnosis solutions to find a win-win skincare match is more rational.

Case Studies


mirrAR has launched an AI beauty platform that uses millions of images to train deep learning algorithms. Our AI skincare diagnosis technology detects numerous skin conditions in a flash and recommends products and formulations in real time. Say goodbye to conventional online surveys.  

Moreover, our AI engine goes a step further by producing before/after simulations, offering a visual representation to monitor the treatment progress of the user’s skin. Brands that have deployed mirrAR’s AI skin diagnosis technology on their websites have seen conversions increase by 30% and engagement time boost by 160%.

What is more, our AI beauty platform runs across all operating systems, encouraging a holistic approach to skincare engagement.


Fabbeu partnered with Orbo to develop an AI skin diagnosis tool that provides users (teenagers and Gen Z) with a crystal-clear view of their skin. Users need to answer some questions, and the tool suggests personalised skincare regimes based on the findings.   

This beauty tech employs AI algorithms to evaluate a user’s skin type and recommends products best suited for every condition. These include hydration, dullness, wrinkles, and fine lines.


Cetaphil rolled out a new AI skin diagnosis tool offering personalised skincare advice and assessment scores in seconds. Powered by Perfect Corp’s AI Skin Analysis technology, the state-of-the-art solution compares users’ selfies with a massive database of 70,000 diverse skin images. Based on the data, it creates a hyper-targeted, tailored skin report revealing skin type, issues, and proneness to multiple conditions.

Cetaphil then delivers personalised recommendations best suited to users’ needs from its product portfolio, including moisturisers, cleansers, and sunscreens.

Charting New Horizons with AI For Skincare

The beauty industry is undergoing a profound change. From skin analysis to tailored recommendations, AI beauty has progressed from being a technological marvel to becoming an indispensable partner in the quest for beauty.

As the synergy of AI and cosmetic product development stamp its authority in beauty & cosmetics, we are staring at the onset of a new era, characterised by at-scale information access and nuanced interactions.

As AI for skincare continues to learn and adapt, it will uncover new frontiers, making the world of beauty even more engaging.

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