One of the biggest problems most people face when trying to find the right beauty products is that there are simply too many options out there. Finding products that truly work for a person\u2019s individual needs involves a lot of trial and error, which often leaves them feeling frustrated and costs a great deal of money. Generative AI promises to change this by enabling consumers to find products that will help them achieve a flawless look with just a few clicks of a button.<\/p>\n\n\n\n
While the use of generative AI within the beauty industry is still in relatively early stages, and there is still a great deal of scepticism regarding its effectiveness, we can expect more and more beauty brands and consumers to embrace the technology in the coming years. But even then, AI is unlikely to fully replace human stylists anytime soon, if ever. For many people, going to a beauty salon is about more than just vanity \u2013 it\u2019s a wholesome experience with the human element at the centre of it.<\/p>\n\n\n\n
Isn\u2019t it fascinating how far we\u2019ll go to look beautiful? Throughout history, humans have been utterly devoted to enhancing their appearance \u2013 willing to try almost anything in pursuit of that perfect look. Every day, countless people engage in elaborate beauty rituals, carefully applying foundation, mascara, and lipstick or spending hours at the salon transforming their natural hair colour into something completely different. And let\u2019s not forget the more permanent solutions. Some people even decide to go under the knife in order to conform to societal beauty standards \u2013 though that\u2019s a story in itself. For now, let\u2019s focus on less invasive ways to change your appearance, the everyday transformations that help us feel more confident when we face the world.<\/p>\n\n\n\n
You know what\u2019s really tricky, though? With thousands of products flooding the market, zeroing in on the ones that actually work for you feels like searching for a needle in a haystack. Finding products that truly complement your skin, hair, or nails typically involves a lot of trial and error, which can be a very frustrating experience for the consumer \u2013 not to mention expensive. We\u2019ve all got drawers full of barely-used products that promised the world but just didn\u2019t deliver for our unique needs. To address this issue and provide their clients with a more personalised experience, a growing number of beauty brands are turning to generative AI technology. These smart systems are revolutionising how we discover and select beauty products, offering a level of personalisation that was unimaginable just a few years ago.<\/p>\n\n\n\n
\n\u201cBeauty customers don\u2019t need another brand telling them to buy, buy, buy \u2013 they need help.\u201d<\/p>\nSampo Parkkinen, chief executive of Revieve<\/em><\/cite><\/blockquote>\n\n\n\n
<\/div>\n\n\n\nBeauty \u2013 it\u2019s in the AI of the beholder<\/h2>\n\n\n\n
Finding the right beauty product for your unique needs has traditionally been a hit-and-miss affair. Could AI help take the guesswork out of the process?<\/strong><\/em><\/p>\n\n\n\n
Chances are, you\u2019ve already interacted<\/a> with AI in the beauty world, even if you didn\u2019t realise it at the time. Remember that online quiz you took to find your perfect foundation shade or the ideal shampoo for your hair type? Yep, you guessed it \u2013 that was probably AI working behind the scenes to match you with suitable products. But while serviceable, those early chatbots were also pretty basic. They could only provide rigid answers within a limited framework, often leading to a frustratingly one-sided consumer experience. You\u2019d ask about products for your specific condition and end up with the same generic list that everyone else got. In other words, not exactly the personalised experience we were looking for.<\/p>\n\n\n\n
That\u2019s the magic of generative AI: it\u2019s trained on such massive consumer data it can respond to almost anything, including requests<\/a> for deeply personalised product recommendations. Now, when you describe your concerns, the AI can consider multiple factors \u2013 your age, sensitivities, climate, lifestyle habits \u2013 and recommend products that actually make sense for your situation and not just generic suggestions that could apply to anyone. This results in a significantly improved consumer experience and fewer costly returns for brands.<\/p>\n\n\n\n
\u201cAI-powered chatbots will guide consumers through product choices based on everything from general product preferences to skin type and specific concerns, ensuring that each interaction is uniquely tailored to each consumer\u2019s needs,\u201d explains<\/a> Alice Chang, founder and chief executive of beauty tech company Perfect Corp. This would go a long way towards meeting customer expectations, which have evolved significantly over the years. \u201cBeauty customers don\u2019t need another brand telling them to buy, buy, buy \u2013 they need help,\u201d adds<\/a> Sampo Parkkinen, chief executive of personalised digital experience platform Revieve. \u201cBrands can win if they create an experience that really speaks to consumers as individuals, particularly in beauty, as these are highly personal products.\u201d<\/p>\n\n\n\n
Revolutionising the beauty industry<\/h3>\n\n\n\n
Of course, it\u2019s not just shoppers who stand to benefit from generative AI. Beauty brands can use the technology to generate hyper-personalised marketing that resonates with the target audience more than generic messaging, leading to higher conversion rates. In fact, according to management consultancy Bain & Co, this shift toward hyper-personalised marketing could boost return on advertising spend by roughly 10-25%. In an industry where competition for consumer attention is fierce, that\u2019s a massive difference. McKinsey estimates that generative AI could generate between US$9-$10 billion in the beauty industry alone.<\/p>\n\n\n\n
Perhaps the most exciting development of all is actually happening behind the scenes in product development labs. Creating new beauty products has traditionally been a painstaking and drawn-out process. Researching ingredients, testing countless formula variations, ensuring stability and safety \u2013 all of this could take years, with no guarantee that consumers would even like the final product. Generative AI could streamline this process by automatically identifying the most promising ingredients for a new product, assessing the product\u2019s potential benefits, and suggesting formula recipes. <\/p>\n\n\n\n
While the stability and safety testing would still have to be conducted manually in the lab, the initial part of the process could be accelerated dramatically, enabling brands to bring innovations to market faster than ever before. It could even lead to surprising combinations \u2013 the kind a pair of human eyes might never spot. \u201cImagine generative AI models being able to look at an ingredients stack and auto-generate a set of ingredients,\u201d says Kristi Weaver, McKinsey\u2019s senior partner and beauty expert. \u201cThat might take a formulator days, weeks, months to do \u2013 and now brands can do it in a matter of hours.\u201d<\/p>\n\n\n\n
Where are we now?<\/h3>\n\n\n\n
While generative AI can certainly offer brands a unique competitive advantage, there are still several challenges that are hindering its widespread adoption. For starters, AI is only as good as the data it learns from. To be of any real use, generative AI models need massive sets of high-quality, diverse data covering everything from consumer preferences to evolving beauty trends, and this kind of comprehensive data isn\u2019t always easy to come by. Without it, even the most sophisticated AI can end up making recommendations that feel generic or entirely off-base.<\/p>\n\n\n\n
There\u2019s also the financial aspect to consider. Developing AI models requires serious investment, particularly for brands ambitious enough to create their own proprietary systems rather than leveraging existing platforms. We\u2019re talking significant outlays for technology infrastructure, specialised talent, and maintenance. For smaller beauty businesses or independent salons already operating on tight margins, these costs can quickly become prohibitive \u2013 enough to put them at a meaningful disadvantage against larger franchises.<\/p>\n\n\n\n
The importance of human connection<\/h3>\n\n\n\n
Perhaps the most fascinating obstacle isn\u2019t technical or financial \u2013 it\u2019s human scepticism itself. A recent survey conducted by the National Hair & Beauty Federation revealed<\/a> that only about 30% of respondents felt comfortable with AI-generated styling suggestions. A similar percentage were on the fence about the idea, while more than 40% were not comfortable with it at all, exhibiting a clear preference for human expertise instead. And when it came to colour matching for hair treatments, the respondents were even more hesitant to let AI make the decisions, with just 10% saying they would trust AI with the task.<\/p>\n\n\n\n
So what\u2019s behind this resistance? Well, the truth is that many people are invested in beauty therapy for reasons that go well beyond simple vanity. The same survey revealed that 100% of respondents consider human interaction to be a very important part of their beauty experiences. This figure shouldn\u2019t be taken lightly. If you\u2019re unsure, try getting 100% of people to agree on literally anything<\/em>. <\/p>\n\n\n\n
After all, a trip to the salon isn\u2019t just about getting your roots touched up or your nails done. It\u2019s often a form of self-care, a chance to chat with your stylist, and sometimes even a type of therapy. For a lot of people, it\u2019s their \u2018third place\u2019 \u2013 a public location outwith home and work that they visit to experience a sense of community and belonging. So, does this mean AI has no place in beauty? Not at all \u2013 but it does suggest that the most successful implementations will be those that complement rather than replace the human element.<\/p>\n\n\n\n
<\/div>\n\n\n\n\n\u201cThe main idea for us is that when consumers can see how their skin will evolve, they can keep this motivation, because sometimes you kind of give up treatments, because we don’t see the effect.\u201d<\/p>\nAnastasia Georgievskaya, co-founder and chief executive of Haut.AI<\/em><\/cite><\/blockquote>\n\n\n\n
<\/div>\n\n\n\nVisualising the future of beauty care<\/h2>\n\n\n\n
From personalised makeup suggestions to accelerated product development, generative AI has already found many useful applications in the beauty industry.<\/strong><\/em><\/p>\n\n\n\n
So, let\u2019s take a closer look at how beauty brands are using generative AI to provide their customers with more engaging and more personalised experiences. For example, South Korea’s leading beauty company, Amorepacific, recently released<\/a> a new virtual makeup solution called Wanna-Beauty AI, which uses generative AI and voice recognition technology to offer users personalised makeup suggestions and help them find their perfect look. After a user uploads a photo of their face and describes what they want to accomplish, the software analyses their skin tone, facial features, and proportions and recommends products that best match their needs and preferences. Then, using a proprietary stable diffusion model, it applies the virtual makeup on their face, allowing users to experiment freely with different looks until they find what works best for them.<\/p>\n\n\n\n
SkinGPT, a generative AI-powered virtual try-on solution launched by AI company Haut.AI, goes one step further by enabling users to simulate the effects of skin care products and treatments on their skin over time. \u201cThe main idea for us is that when consumers can see how their skin will evolve, they can keep this motivation, because sometimes you kind of give up treatments, because we don’t see the effect,\u201d explains<\/a> Anastasia Georgievskaya, co-founder and chief executive of Haut.AI. \u201cBut knowing what the effects will be and in what time frame, like six weeks or six months, this can build positive reinforcement.\u201d Alternatively, users can also visualise how their skin might change as a result of the ageing process or long-term exposure to environmental factors like the sun\u2019s ultraviolet rays, allergens, or pollution, and how certain products could help minimise their impact.<\/p>\n\n\n\n
Of course, there is no shortage of AI-powered solutions that focus on another important aspect of every beauty routine: hair. One such solution is HairAI, which uses microscopic hair analysis and advanced algorithms to analyse each user\u2019s hair texture, type, and condition and recommend products compatible with their unique hair needs and goals. If they sign up for a subscription plan, users will also receive ongoing product recommendations, as well as monthly check-ins to track their hair journey. \u201cA person’s hair is as unique to them as a fingerprint, and we’ve unlocked powerful, personalised insights with our AI platform,\u201d says<\/a> Candace Mitchell, founder and chief executive of Myavana, the beauty tech company that developed the product. \u201cHair is the longest record of your body’s health, providing as much as a decade of information about a person’s health and needs.\u201d<\/p>\n\n\n\n
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