Tag: #L’Oreal

  • ….. More in depth; AI in design

    One thing that has constantly intrigued me, throughout studying fashion design in my BA then going on to be a fashion developer in London and Hong Kong, and even analysing trends in my MSc in business, was what is woke in a population. That concerns the “what?”… but my pest career focussed more on the “how”?.

    Looking at the current “what,” this post focuses on a topic that particularly interests me: what is trending globally right now—AI. A strong example of this intersection between technology, fashion, and design is L’Oréal’s partnership with IBM. By integrating AI into beauty innovation, the collaboration enables more personalised, inclusive, and sustainable products, showing how technology can quietly enhance design and creative expression rather than overshadow it.

    IBM and L’Oréal are exploring how AI can transform innovation. Using IBM Watson X, they’re developing AI assistants that simulate complex scenarios—originally for education, like classroom interactions—but for L’Oréal, the focus is on cosmetics. Custom AI models can help researchers design products faster, more creatively, and more sustainably.

    Take lipstick as an example. Traditionally, it’s made in two stages: a highly opaque base delivers colour and a matte finish but feels dry and uncomfortable, followed by a second layer to improve wearability. The difference between products like Super Stay 24 and Mad Ink lies not in longevity—they both last—but in comfort. Mad Ink avoids the need for constant reapplication thanks to careful formulation.

    L’Oréal has always been a science-driven company. Early liquid lipsticks in the 1930s were little more than stains; later formulas were heavier and less convenient. Over decades, L’Oréal’s chemists refined these products through trial and error, testing everything from colour and texture to durability under extreme conditions. Every lipstick is essentially a piece of technology, backed by millions of data points.

    The collaboration with IBM, launched in early 2024, brings together two century-old innovators with strong scientific cultures. IBM works directly inside L’Oréal labs to understand researchers’ needs, creating custom AI models tailored to the company’s unique data. Unlike general-purpose AI, these models are smaller, faster, and more energy-efficient, allowing L’Oréal to leverage decades of research in a usable, targeted, and transparent way.

    The potential impact is huge. AI can accelerate product development, expand creative possibilities, and make innovation more sustainable. By narrowing the gap between imagination and reality, it enables breakthroughs that were previously difficult or impossible. This approach isn’t limited to cosmetics—similar AI-driven strategies could help clothing companies fast-track design and fabric development, processing vast datasets and testing countless scenarios to support designers’ judgment.

    L’Oréal also monitors early signals from fashion and social media to anticipate emerging trends, ensuring products meet both current demand and future tastes. Combining this with AI, the company is redefining what’s possible in beauty, showing how data, science, and technology can converge to drive innovation.

    From decades of research to cutting-edge AI, L’Oréal is not just a cosmetics company—it’s a beauty data powerhouse, using technology to turn ideas into reality faster, smarter, and more sustainably than ever.

  • L’Oréal x IBM

    L’oreal = cosmetics.

    Many businesses, obviously , include an R&D department, and for cosmetics, this includes scientists, skincare, makeup, haircare and packaging, all glued together with the development department. This is only in the HQ, though, manufacturing takes what has been from the HQ.

    What makes any company in a predictive industry (fashion) , is having to understand what’ll be the trend, tomorrow. This prediction will instigate development, therefore the presumption must be well backed up.

    Where L’Oréal meets IBM is through their exploration in technology.

    L’Oréal products can be seen, without psychically pulling it on, L’Oréal call it “virtual beauty” L’Oréal creates “beauty experiences”, which is why traditional UX can be explored so viscerally.

    With this R&D collection and experimentation gives a HUGE amount of data.

    With this raw materials will be chosen , what combination are decided and how much.

    Safety, performance, quality, compliance and sustainability… and the rest. All this development would take forever!

    But what if… this process could be done digitally. Like L’Oréal’s earlier stages… “virtual beauty”.

    … where IBM comes in… using a custom AI model can help organised and conjoin those results. Where computers collaborate with the human designers, to enhance their work.

    Ages of results found by experts can be analysed and assimilated using AI to predict what’ll be next.

    In essence, the AI dies all the long, dirty work. It takes time results of what has been designed and experimented by the humans.

    After so much testing and results being gathered, the data is “AI ready”. The predictions can tell what the next steps should be.

    Get ready for the future move.