L'Oréal, Nestlé and Mondelez Speed Up Product Development with AI
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L’Oréal, Nestlé, and Mondelez Are Accelerating New Product Development with AI

The world’s largest consumer goods manufacturers are increasingly using artificial intelligence to develop new products. Companies are integrating AI into their research and development departments, reducing the time it takes to develop formulas and conduct testing from months to weeks—and in some cases, by a factor of several.
Dmitry Kalak Reading time: 2 minutes
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L'Oréal products

The French cosmetics group L’Oréal reported that the use of artificial intelligence has made it possible to speed up the development of new products fourfold, according to AiNews.

The company uses AI to analyze the properties of molecules used in skincare products and to explore new ways to utilize them, including in the creation of shampoos. One example is the adaptation of molecules originally developed for skincare into products designed to add volume to hair.

Other international manufacturers of consumer goods are also implementing similar technologies. Nestlé uses AI to accelerate the development of new food products and analyze consumer preferences, while Mondelez uses it to generate and optimize recipes and assess their cost, nutritional value, and environmental impact. According to the company, this reduces the new product development cycle from several months to several weeks, and in some projects, from several years to several months.

AI Is Becoming a Competitive Advantage

The shift toward using artificial intelligence in research reflects intensifying competition in the global consumer goods market. Manufacturers are striving to bring new products to market faster while reducing development costs and responding to changes in consumer demand.

At the same time, companies emphasize that final decisions on new products are still made by experts. Artificial intelligence is used as a tool to identify promising solutions and accelerate research, not as a replacement for developers or engineers.

The expanding use of AI in the research departments of major international companies indicates that the technology is becoming part of the core production infrastructure, influencing not only marketing and customer service but also the processes involved in creating new products.


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