Consolidating beauty data: Revieve targets brand strategies in agentic-AI era

AI-powered beauty tech company Revieve has launched BeautyCatalyst, a beauty commerce intelligence platform that connects beauty knowledge, consumer understanding, and checkout in one system. The platform is positioned to help beauty brands and retailers understand their consumers, products, and markets in a deeper and more multidimensional way.

The platform is touted to address a gap in beauty technology, where, for years, companies have used fragmented solutions to analyze shoppers’ skin, recommend products, and enable virtual try-ons. Individually, these tools have helped shape personalized beauty as a category.

However, Revieve maintains that the intelligence these separate tools have created has remained disconnected in separate technologies, channels, and business systems. 

“Beauty has spent years personalizing individual moments of the consumer journey, but consumers don’t experience beauty as a collection of disconnected technologies,” says Irina Mazur, chief commercial and marketing officer at Revieve.

BeautyCatalyst aims to address the fragmented system by linking data across consumers, products, ingredients, experiences, and markets in one space. Each interaction now feeds into a bigger picture of the individual consumer and the wider beauty business.

“True personalization requires understanding the consumer, the product, the routine, and the desired outcome together — and allowing the intelligence created through every interaction to make what comes next smarter,” Mazur explains. “BeautyCatalyst takes that idea beyond the individual experience, connecting intelligence across the beauty business.”

Because the tool is designed to continuously track and learn from beauty users, Reveive says it is poised to power more relevant decision-making in the cosmetics industry. BeautyCatalyst is touted to reveal broader patterns in consumer needs, product-market fit, emerging demand, and commercial opportunities.

BeautyCatalyst is designed to turn data from AI-powered beauty experiences into broader consumer and commercial insights.

Connecting fragmented data

The way that consumers discover beauty is changing. People increasingly find cosmetic information and inspiration across brand and retailer platforms, online marketplaces, social media channels, and AI-powered assistants. Revieve says the BeautyCatalyst platform is built for the agentic AI era.

With beauty discovery expanding across a wider network of touchpoints, the company explains that brands need their expertise and product intelligence to evolve with the consumer.

“As commerce becomes increasingly agentic, the differentiator will not simply be having AI, but the depth of intelligence behind it,” says Sampo Parkkinen, CEO and co-founder of Revieve. 

BeautyCatalyst is said to create a foundation of connected beauty intelligence that learns continuously from how consumers engage with the category. According to Revieve, the tool is built on nearly a decade of the company’s innovation in computer vision, recommendation intelligence, and personalized beauty experiences.

BeautyCatalyst brings together four connected pillars. First, Beauty Intelligence translates beauty information into structured, connected insights for consumers — ranging from products and ingredients to formulations, concerns, routines, services, and recommendation logic.

Next, the Experience & Activation pillar puts that beauty intelligence into action through AI advisors, virtual experiences, and personalized journeys.

The Audience & Market Intelligence pillar then connects signals across consumers, products, experiences, and markets. At this step, connecting the fragmented data reveals audience patterns, emerging needs, and whether consumer demand is shifting.

The Business Decision Intelligence pillar brings beauty, consumer, and market intelligence together into a comprehensive overview for beauty companies. From this point, brands can use the insights to inform business decisions across their marketing, merchandising, assortment, product innovation, and future growth directions.

“BeautyCatalyst connects consumer understanding, beauty expertise, product knowledge, and commercial intelligence to help brands and retailers create smarter experiences, uncover opportunities, and make more informed decisions,” adds Parkkinen.

Informed decision-making

Revieve says connected intelligence can help brands identify changing consumer needs, portfolio gaps, and emerging demand.

By connecting fragmented data pieces, BeautyCatalyst is said to power more relevant beauty experiences for users and brands. One benefit Revieve lists for the platform is revealing broader patterns in consumer needs.

The platform helps brands and retailers understand what different audiences need, where demand is emerging, how needs are changing, and which products fit different consumer groups. The tool also shows where unmet needs exist.

In an era of AI-powered decision-making, multiple companies have identified the value of the tech in exposing gaps.

Last year, beauty intelligence company Haut.AI launched an AI-powered skin care consultant that helps brands capture first-party consumer insights and, based on frequent recommendation requests, helps close product and strategy gaps.

Personal Care Insights spoke with Anastasia Georgievskaya, co-founder of Haut.AI, who told us their tool would help brands find their voice and connect better with customers because they will drop a lot of unnecessary fluff.

“The first thing you can do is understand if your portfolio adequately addresses the concerns and demands of your current customer base. What if they’re looking at specific ingredients and your portfolio doesn’t have products with those ingredients? Then you can make a decision,” Georgievskaya said.

Taking this logic a step further, BeautyCatalyst’s signals are said to inform brands on strategies ranging from marketing to portfolio, innovation, merchandising, and regional positioning, for example.

As a result, Revieve believes the beauty industry will be able to more accurately respond to the shifting nature of cosmetic demands and merge the fragmented data across the entire discovery process to help brands prepare for what’s next in beauty.