Beauty brands blend AI into operations

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Cosmetic giants are moving forward with AI plans this year against a challenging backdrop of shifting consumer spending patterns and evolving global trade policies. 

Three of the industry’s largest players, The Estée Lauder Companies, Coty and Ulta Beauty, are exploring how the technology can save costs, tailor communications and optimize forecasts amid the volatility. 

“How are we prepared, as you’re saying, to cope with the current business needs?” Roberto Canevari, ELC’s EVP and chief value chain officer, said in response to an analyst’s question during a conference Tuesday. “There is a lot ahead of us. AI is bringing a lot of opportunities, but I personally feel we are in a very solid place.”

The beauty brand, which includes Clinique, Mac and Too Faced, is using AI to modify communications for specific regions, such as India and France. The technology will speed up the process, Canevari said. 

AI is also helping the company decide what product goes where. 

The AI version that we’re working on is looking at what is happening around the world and where is better,” Canevari said. “The more we do it, the more it will become accurate.”

ELC is doubling down on AI under new leadership. The company appointed Brian Franz as its chief technology, data and analytics officer in April, marking the first time all tech-related functions have been consolidated under a single leader as it pursues stronger alignment.

“By bringing these critical areas together under one leader, we are simplifying our structure, removing operational silos and creating stronger alignment across our data and technology strategies,” CEO Stéphane de La Faverie said in the announcement of his first external appointment to the executive leadership team since rising to its helm in October

The previous regime had ramped up AI efforts in recent years, aiming to bring the technology to the forefront of the industry. In November, employees had access to more than 240 customized GPTs that could analyze datasets or synthesize vendor details, among other tasks, as part of a partnership with OpenAI. More recently, ELC created an agent in partnership with Microsoft to help employees market and develop products by analyzing archives and company data.

The progress on AI coincides with ELC’s broader strategic initiative called Beauty Reimagined, which prioritizes efforts that restore sales growth and enable agility. 

In May, the company reported a net sales decline of 10% to $3.6 billion during its Q3 2025.

McKinsey recommended beauty brands focus on high-value AI use cases and customizable tools to accelerate impact, in a January report. Potentially valuable back-end use cases included automated sales pitch prep, training exercises, internal search, demand planning and post-call transcription. 

Beauty brands are pursuing AI with a number of applications in mind. L’Oréal, one of the industry’s biggest players, is collaborating with IBM to develop an AI model to help develop product formulas that meet sustainability goals, the companies said in January. 

Unleashing cost savings

Similar to ELC, Ulta is going through its own realignment while ramping up AI projects. The company’s plan, dubbed Ulta Beauty Unleashed, centers on driving core business growth, scaling accretive businesses and realigning its foundation for the future. 

Our teams are adapting well to our new ways of working, and we are steadily advancing our optimization efforts,” CEO and President Kecia Steelman said last week during the company’s Q1 2025 earnings call. “During the quarter, we leveraged new AI and machine learning capabilities to drive supply chain efficiencies and launched scheduling and enhanced payroll management tools to optimize our efforts and support our cost-saving goals.”

The company’s CEO took on the role shortly after the new year and laid out the Unleashed plan in March. Steelman changed former Chief Technology and Information Officer Mike Maresca’s title to chief technology and transformation officer in January, a move she described as aligning transformation efforts with cost optimization initiatives. 

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