Drivers: what’s happening
In a beauty landscape clouded by greenwashing, inflated prices and contradictory claims, consumer trust is being radically recalibrated. Today, truth in the beauty industry isn’t just about clean labels or bold promises – it’s also about clinical proof, transparency and specialist-led education, as discussed in our Accredited Beauty macrotrend.
Science, once seen as cold and clinical, is now being re-imagined as a source of emotional safety, credibility and care. Brands are responding with derm-led narratives, lab-developed actives and verified claims – not just to prove efficacy, but also to make consumers feel safe and supported.
At the same time, the rise of emotionally intelligent AI is transforming the consumer journey. As we enter The Synthocene Era – where synthetic and human intelligence converge – beauty tech is evolving from reactive to intuitive. No longer limited to analysing skin types or data points, AI now interprets tone, emotion and intent, responding in ways that feel empathetic and context-aware.
This shift is critical. Consumers aren’t just craving personalisation, they’re demanding personal relevance. According to Salesforce, 66% expect brands to understand their unique needs, while 83% of 18–34-year-olds are open to AI support (Future:Poll). But it’s not just about what is recommended – it’s also about how it is delivered. Tone, timing and emotional resonance are fast becoming key differentiators.
Ulta Beauty is already demonstrating this evolution. By centralising all customer data and using machine learning to dynamically adapt customer profiles and messaging in real time, it creates interactions that are not only timely and personalised but also emotionally aligned, driving a 95% repurchase rate (source: Ulta, PYMNTS).
This isn’t just smart tech, it’s sensitive tech. In an era defined by noise, feeling overwhelmed and emotional fatigue, the next generation of beauty solutions will blend data with empathy, clinical precision with conversation and personalisation with true human connection.
Previous solutions like logic-based chatbots provide only generic answers and often lead to a frustrating experience, where human live chats offer great content, but often with time delays, restricted availability and at a significant cost to brands. The consumer appetite for online conversation has always been there, but the technology to accommodate this hasn’t been, until now
Case studies: what’s new
Renude
Renude is an AI-powered skincare platform that delivers dermatologist-level guidance through conversational tools and image-based diagnostics.
Originally launched as a consumer-facing service, it now powers plug-and-play solutions for brands and retailers – embedding specialist-led skincare advice directly into e-commerce environments.
By combining computer vision with large language models (LLMs), Renude’s embedded chatbot enables a new kind of personalised, emotionally intelligent interaction. Consumers simply take a selfie and upload it via the chat interface, which analyses the image and invites users to share details of their routine or skin concerns, before responding with personalised product recommendations and regimen advice – all in natural, empathetic language.
By mimicking the tone and flow of a professional consultation, this approach lowers barriers to expert input and transforms traditionally static retail moments into dynamic, two-way exchanges. Its seamless integration into platforms such as Shopify and Magento means advice is delivered right at the point of purchase – helping consumers feel informed and supported in real time.
For shoppers, it brings clarity and confidence to a complex category. For brands, it builds trust, reduces return rates and increases conversion – showing how AI can do more than personalise; it can care.
Modern consumers are more discerning than ever, and we understand the critical combination of reliable content with empathy that delivers a trusted experience that is returned to again and again
IFF ScentChat
ScentChat is an AI-powered tool developed by International Flavors & Fragrances (IFF) to embed real-time consumer feedback into the fragrance development process. Designed to bring greater emotional intelligence to scent creation, it enables perfumers to decode how people feel about a fragrance – not just what they think – and apply that insight throughout the research and development journey.
Fragrance is an emotional medium: deeply personal, highly subjective and notoriously hard to articulate. Traditional methods such as groups and surveys often fall short in capturing this nuance, especially in real time.
ScentChat solves this by using natural language processing (NLP) to facilitate direct conversational dialogue between consumers and perfumers via familiar platforms like WhatsApp and Facebook Messenger – environments where people naturally express themselves with greater freedom and authenticity.
As consumers share sensory impressions and emotional responses to scent prototypes, the tool translates that input into structured, practical insights. This allows perfumers to shape formulas based not just on preference data, but also on deeper emotional cues – accelerating development cycles and fostering co-creation grounded in empathy.
Random Studio
Emotional intelligence in beauty isn’t just confined to screens or chatbots – it's shaping physical spaces too. Glossier, in collaboration with experiential design firm Random Studio, has created a retail installation that transforms emotional presence into a participatory, co-creative act.
At the heart of the experience is a simple gesture: picking up a perfume bottle. This moment triggers an AI-powered system to observe the visitor’s expression and posture, interpreting emotional cues in real time. In response, the installation generates personalised poetry, projected dynamically into the space – a fusion of human emotion, machine interpretation and ambient storytelling.
Lea Lemaire, lead creative strategist at Random Studio, tells LS:N Global: ‘Where digitally we aim for frictionless everything, there’s a hunger for embodied – ‘frictionful’– real-world experiences that make us feel something.’ She continues: ‘Attention in general is scarce, so emotionally rich brand experiences are more likely to be remembered, shared and talked about, making them drivers of loyalty and storytelling.’
A similar approach was evident in Random Studio’s 2024 BreathLab project with Nike, where biometric inputs such as breathing patterns generated live environmental feedback, guiding visitors through breath work techniques. Both examples point to retail’s evolution from static display to dynamic dialogue – where emotional intelligence and sensory tech coalesce to create spaces that listen, respond and care.
Where digitally we aim for frictionless everything, there’s a hunger for embodied – ‘frictionful’ – real-world experiences that make us feel something
Analysis: what this means
Today’s consumers want technology that truly understands them – tools that reflect their emotions, honour their complexity and respond in ways that feel supportive rather than transactional.
This expectation is especially pronounced among younger cohorts like Gen Z and Gen Alpha, who are growing up in a cultural climate where mental health, self-awareness and emotional literacy are part of everyday discourse. In both their online and offline lives, they see beauty as a form of identity signalling and expect products and platforms to mirror this expression. Crucially, they’ve never known a world without hyper-personalised technology, meaning digital fluency and emotional relevance aren’t just nice to have, they’re baseline expectations.
For these audiences, beauty must evolve from being product-centric to person-centric. Instead of relying solely on ‘hard’ data points such as skin type or UV exposure, EQ-Beauty utilises ‘soft’ data – mood, mindset, intention and context — paving the way for emerging categories like neurocosmetics and mood-responsive skincare.
This evolution will also reshape how brands communicate and engage. Empathy is fast becoming a UX imperative. From algorithms and chatbots to product experiences and customer care, the next generation of tools will need to sense and adapt to emotional cues – adjusting tone of voice, interface design and interaction style to meet users where they are emotionally.
Researchers from the University of Zurich used the subreddit Change My View, where users post opinions and others try to change their minds. If successful, they’re awarded a delta – the Greek symbol for change. In the study, humans earned deltas just 3% of the time, while the best chatbot achieved an 18% success rate. Although the study was modest in scale and controversial – since the bots weren’t disclosed –it suggests LLMs may already rank among the top 1% of humans in persuasiveness
Strategic opportunities
Consumer
: Understand emotion as a driver – Track how emotional needs, not just functional ones, are shaping beauty behaviours. From mood-driven routines to the need for reassurance, beauty is becoming an act of self-regulation.
Product & Lifestyle
: Design with emotional data – Integrate soft metrics such as mood, intention and tone into product innovation. From neurocosmetics to responsive rituals, emotional efficacy will define the next generation of beauty solutions.
Engagement
: Speak the consumer’s language – Optimise product communications and searchability using natural, conversational language. Ensure AI and discovery tools can identify your products through how consumers talk, not how marketers speak.