AI in Fashion: How Luxury Brands Use It。

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From understanding consumer preferences to predicting inventory and creating brand loyalty—AI is transforming how luxury fashion carves out a unique space in the global market.
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For fashion enthusiasts, the future is already here. Whether you’re searching for trail running shoes suited for mountain terrain or a spring wedding dress in London, AI is now your new personal stylist. With Zalando’s AI chatbot offering tailored suggestions based on weather and past purchases, and Vestiaire Collective handling complex searches beyond just brand names and product types—fashion tech is becoming deeply personal.

And this is just the beginning. Soon, every consumer might have a personalized digital showroom. AI-powered shopping assistants could recommend styles based on your recent wardrobe additions. Some systems may even scan your wardrobe to suggest resale values or provide styling advice. At the current pace of AI development, these scenarios are closer than ever.

🌐 ChatGPT Is Just the Beginning

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Applications like Lensa AI and Midjourney are already reshaping creative processes. According to a recent study by Comité Colbert and Bain & Company, over 40% of luxury brands now prioritize AI as a top-three strategy for the next three years. Their goals? Predict sales, optimize inventory, generate marketing content, and track consumer trends with precision.

While the metaverse and Web3 may have cooled off, luxury brands continue embracing innovation. AI is a key player in customer interaction and stock management. For instance, when a luxury handbag in red receives mixed reviews in Bordeaux but sells out in Cannes, AI can now analyze these regional differences in less than three days—versus 17 days five years ago. This allows brands to tweak production, adjust stock, and reduce waste almost instantly.

Franck Le Moal, CTO of LVMH, confirms that all 60,000 sales associates across 6,000 stores now carry mobile tools to access real-time customer history. “Technology amplifies value, but it cannot replace the human touch,” he emphasizes.

🎨 Can AI Cross the Artistic Threshold?

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In visual production, brands like Claudie Pierlot are pioneering AI-generated ad campaigns—featuring handbags in croissant piles or vegetable-filled carts. Valentino partnered with AI artist Vittorio Maria Dal Maso for its Essentials series, while Lacoste celebrated its 90th anniversary with generative AI visuals.

But there’s a limit. “AI comes in two main forms: analytical AI, which predicts outcomes, and generative AI, which creates content using text, visuals, or video,” explains Bain & Company’s Mathilde Haemmerlé. IFM professor Giovanna G. Casimiro adds, “AI enhances creation, but it must be curated by human experts. Without narrative, style, or identity, the results fall flat.”

Creative boundaries remain. Moncler’s AI-designed reinterpretation of the iconic Verone jacket may be impressive, but seven out of ten Comité Colbert members oppose letting AI lead artistic direction. The consensus? AI can aid inspiration, material selection, or prototyping—but not replace creative vision.

Still, brands with less identity-based design strategies may benefit more. The Kooples, working with French firm Imki, released an AI-generated collection in just two weeks—a process that would typically take four months. Founder Frédéric Rose says AI can generate 150 bag styles in 30 minutes, but “continued human input is crucial. Without it, creativity dries up.”

⚠️ The Underlying Risks of AI in Fashion

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The “AI Fashion Week” competition in 2023 brought hype—and questions. Data security, intellectual property, and digital footprint concerns now trail behind rapid innovation. As Colbert Association’s Bénédicte Épinay puts it: “The legal frameworks are still evolving. We’re building rules as fast as we build technology.”

McKinsey predicts that generative AI could automate up to 30% of work hours in Europe by 2030. While AI boosts productivity, many fear job displacement—especially creatives who are responsible for brand identity and storytelling.

Ultimately, AI is still prompt-based. It relies on language, culture, and creativity. This is not just a tech upgrade—it’s a revolution of aesthetics and perception. “If we stay in a comfort zone—trapped in personalized digital bubbles—how do we reform the world together?” asks Giovanna G. Casimiro.

Goldman Sachs estimates $1 trillion will be invested in AI over the next few years. The final question remains: what value does this truly bring?

Maybe that’s something we should ask ChatGPT.

-Santino chen

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Thinking in Style
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Thinking in Style explores fashion and culture beyond trends—reflecting on brands, style, and everyday elegance with a literary touch.
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