The beauty industry pours billions into research and development, yet recent innovation trends find manufacturers pulling back from launching products that are genuinely new. The problem is not weak science or lazy professionals. It is that most testing measures what products do, not how they make consumers feel. In a category driven by emotion, identity, and ritual, that blind spot can either make or break brands. As the industry works out how to apply the benefits of AI, a new generation of AI-powered solutions are set to make this blind spot a thing of the past.
The click of a compact. The soft hiss of a pump. The snap of a lipstick cap. These characteristics may signal quality, freshness, and sometimes even luxury. Whether they are a result of intentional product design or happenstance, there is an uncomfortable truth - that most brands have no idea what their products are actually communicating. Or when a reformulation quietly deletes those signals. The crisis in beauty is not only about failed launches. It’s about successful products being slowly killed by changes that break invisible emotional cues nobody thought to measure.

Most beauty AI today helps consumers choose products - virtual try-ons, shade matching, recommendations. Useful, but at times shallow. A newer approach uses AI to help product developers understand how products are experienced - not just functionally, but emotionally
One example is Sensory Bot™, a conversational research platform built by sensory scientists and AI specialists. Instead of rigid surveys, it runs adaptive interviews that follow each participant’s responses, similar to a trained moderator but at scale. In one study, more than 300 consumers across three continents spent around 45 minutes each describing their experiences, generating nearly 175,000 words of qualitative insight.
Dr Ansie Collier, who helped develop the methodology, explains: “We’re not replacing sensory science, we’re extending it. The structure is grounded in proven research techniques, but automation allows us to explore emotion, context and perception in far greater depth and across many more people at once.”
Consumers across different countries were asked to describe their experiences with the same toothpaste product. Not in terms of performance scores, but in their own words. What was revealed was not a list of features, but a set of emotional and sensory elements that the brand had never formally measured. The insights are simple but still commercially dangerous to ignore:
Sound builds trust. The “pop” when opening the pack signaled authenticity and safety. One consumer called it “proof it hasn’t been opened.” The brand had considered quieter packaging to save costs, which would have probably weakened trust.
Security signals care. In Kenya, features like QR codes were read as respect and protection, not just functionality. In markets sensitive to counterfeits, these details carry strong emotional value.
Experience is a sequence. Consumers described a full sensory journey, ranging from first touch to after-feel. Beauty is not a single attribute but a connected ritual.
Confidence beats whiteness. Many linked toothpaste to social ease, not just white teeth. Feeling fresh meant feeling confident enough to speak freely.
The cultural language of beauty. Perhaps most striking is how the same product told different stories across different cultures. In the USA, beauty meant clinical proof and visible results. In China, it meant balance, ritual, and sensory harmony. In Kenya, it meant feeling confident and socially comfortable. While the product was identical. The emotional narrative was not.

These insights matter because reformulation is now constant. Ingredient bans, clean beauty positioning, sustainability goals, and fragile supply chains are forcing changes everywhere. Brands can match texture and fragrance perfectly and still destroy what made a product loved.
A “velvety feel” may come not from one ingredient but from the interaction of three. Remove one, and loyalty fades. A cooling sensation is not just intensity, but timing and progression. Keep the peak but alter the curve, and consumers sense something is wrong, even if they cannot explain it.
But there's an even more insidious trap: the single-market optimisation. A brand reformulates for regulatory compliance in Europe, tests rigorously with European consumers, and launches globally. Six months later, market share collapses outside Europe. Not an uncommon scenario. The product wins in one market but loses its soul everywhere else. Matching technical specs doesn't guarantee alignment to the cultural codes that shape how a product is experienced across borders.

AI-driven sensory insight is already reshaping how some brands work:
Every product tells a story through sound, touch, scent, and after-feel. These cues form a system that creates meaning. The real choice is not whether to use AI. It is whether to keep measuring the wrong things more efficiently, or finally measure what drives love, loyalty, and repeat purchase. Because somewhere, a reformulation is being approved that matches the original on paper. And somewhere else, a consumer is about to think: “Something’s different.” They will not know what changed. They will just switch brands. As Dr Ansie Collier puts it: “If brands don’t understand the emotional signature of their products, they’re not managing innovation. They’re gambling with it.”