AI Fashion Brands Redefining Luxury with Generative AI 2025

If you’ve been following the latest in fashion technology, you’ve probably noticed a buzz around generative AI—a technology reshaping the industry's creativity and innovation. High-end brands are now leveraging generative AI to reimagine design, marketing, and consumer interaction, transforming traditional approaches into futuristic experiences.

Wondering how AI fashion brands are adopting generative AI to push the boundaries of fashion? Or how AI is changing the fashion industry? 

Let’s read this piece. 

Common Use Cases of Generative AI in Fashion

High-end brands are using generative AI in a variety of ways that directly impact both the creative process and customer engagement. Here are some common use cases:

Content Creation: Generative AI produces marketing materials, ad copy, and even social media posts, ensuring that campaigns are fresh, personalized, and on-trend.
Design and Prototyping: AI models generate new designs for clothing and accessories. Designers can experiment with colors, patterns, and styles rapidly, speeding up the creative process.
Customer Personalization: AI-driven recommendations tailor product suggestions based on individual shopping habits and preferences, making the digital shopping experience more engaging and efficient.
Inventory Management: Predictive analytics powered by generative AI helps brands like Zara optimize inventory levels by forecasting trends and customer demand more accurately.
Interactive Marketing: Digital twins and AI-generated models create immersive, innovative marketing campaigns that capture the audience’s attention and drive brand engagement.
Fan and Community Engagement: As seen with PUMA’s AI kit design tool, brands are involving their customers in the creative process, transforming fans into co-creators and deepening brand loyalty.

Why Are High-End Brands Embracing Generative AI?

Several benefits of AI in retail is pushing high-end brands to turn towards generative AI:

• Speed and Efficiency: AI accelerates the design process, enabling rapid prototyping and faster go-to-market strategies.
  Enhanced Personalization: With AI, brands can tailor their offerings to individual preferences, leading to improved customer satisfaction and loyalty.
  Cost Reduction: By optimizing inventory and streamlining design processes, generative AI helps reduce waste and production costs.
  Innovation: AI opens up new creative possibilities, allowing brands to experiment with novel designs and marketing strategies.
  Sustainability: Through better forecasting and design optimization, AI contributes to more sustainable practices by reducing overproduction and waste.
  Customer Engagement: Interactive tools, such as virtual try-ons and digital twins, create a more immersive shopping experience that resonates with today’s digitally savvy consumers.
   

Top AI Fashion Brands in 2025 

1. American Eagle Outfitters

American Eagle Outfitters has integrated AI-based tools to optimize inventory management and replenishment. This initiative has led to improved stock accuracy and leaner inventories. Additionally, the brand has deployed AI-powered robots in distribution centers to enhance order fulfillment processes. ​

2. Carhartt

Carhartt utilizes AI for merchandising and marketing decisions, enabling better product recommendations and customer engagement. The company has also developed an AI-driven sales prospecting engine to optimize market strategies. ​

3. U.S. Polo Assn.

In partnership with Adeptmind, U.S. Polo Assn. has integrated AI-driven search and discovery solutions on their e-commerce platform, enhancing the online shopping experience for customers. 

4. Diane von Furstenberg

Diane von Furstenberg has adopted AI-powered personalization technology to provide tailored e-commerce experiences, resulting in increased revenue and conversion rates.

5. Levi's

Levi's is blending its rich heritage with modern AI capabilities. By using generative AI to develop denim prototypes, the brand can rapidly test and refine styles before going into production. This helps Levi's stay agile in responding to evolving customer preferences while preserving its iconic identity.

6. PUMA

With its collaboration with Manchester City, PUMA launched an AI-powered kit design platform that lets fans design the official 2026/27 Third kit. This crowd-sourced creativity model is powered by DEEPOBJECTS and marks a new frontier in customer-brand collaboration.

7. H&M

H&M is blending fashion and tech with AI-generated digital twins—virtual models that cut down production time and costs. But it doesn’t stop there. H&M also uses AI to forecast trends, manage inventory, and reduce overproduction. This smart integration supports faster design cycles and promotes sustainability, showing how AI can future-proof fast fashion.

Glance: Bridging the Gap Between You and AI Fashion Brands

Glance is redefining how you experience luxury fashion. With its AI for shopping feature, you can: 

• Experience AI styling to see exactly how designer pieces look on you.
• Explore personalized recommendations tailored to your style.
• Access top brands like US Polo, American Eagle Outfitters, Hot Topic, J.Crew Factory, Calvin Klein etc right from your mobile lock screen.
• Make purchases from across any shopping platform without scrolling through multiple ecommerce sites. 
• Run Glance AI app on smart tv and experience the AI styling and new fashion recommendations especially curated for you on the big screen. 

Wrap Up

Generative AI in fashion shopping is fundamentally transforming the high-end fashion landscape. From creating digital twins of models to enabling fans to design their own sports kits, the technology is revolutionizing both creativity and consumer engagement. Brands like H&M, PUMA, Nike, Zara, Levi’s, Ralph Lauren, and Under Armour are leading the charge by integrating AI into their design, marketing, and customer service strategies. The benefits are clear: faster design cycles, enhanced personalization, improved sustainability, and a more engaging shopping experience.

As you explore these innovations, consider how generative AI might impact your own interactions with fashion and technology. Whether you’re a designer looking to push creative boundaries or a consumer seeking a more personalized experience, the rise of generative AI is a trend that’s here to stay.

FAQs 

1. Which fashion brand uses AI?

Several major fashion brands now use AI to improve design, production, and customer experiences. Companies like Nike, Zara, Ralph Lauren, Levi’s, Gucci, and H&M rely on AI for trend forecasting, design automation, personalized recommendations, virtual try-ons, and smarter inventory planning. These tools help brands respond faster to trends, reduce waste, and deliver more tailored shopping experiences both online and in stores.

1. Is Zara using AI?

Yes, Zara uses AI to forecast trends, analyze sales and social media data, and manage inventory more accurately. This helps the brand react faster to demand, reduce waste, and keep its fast-fashion supply chain efficient.

1. What is the best AI for fashion?

There’s no single “best” AI for fashion, but several standout tools excel in different areas. CLO 3D is highly valued for realistic garment design, while The New Black and Fashion Diffusion are great for fast creative concepting. Fits enables smooth virtual try-ons and personalized styling, and Glance AI offers quick, curated outfit inspiration for everyday users. Tools like Botika and Modelia also help brands create high-quality AI product photos with virtual models.

1. Does H&M use AI?

Yes, H&M uses AI across its design, marketing, and supply chain operations. The brand creates digital “twin” models for campaigns, uses AI to forecast demand and manage inventory, and improves logistics with real-time data insights. AI also supports personalized recommendations on its apps and powers H&M’s Creator Studio, where shoppers can design custom pieces and see them styled instantly.

1. How many fashion brands use AI?

There’s no exact count of how many fashion brands use AI, but recent industry research shows that AI adoption in fashion is now mainstream. A 2024 Business Research Insights report notes that about 74% of fashion companies use AI for tasks such as trend forecasting, inventory planning, design support, or virtual try-ons. This means hundreds likely thousands of brands across fast fashion, premium, and luxury segments have already integrated AI into their operations.