How AI Drives Fashion Innovation

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Summary

Artificial intelligence (AI) is revolutionizing the fashion industry by enhancing personalization, streamlining production, and enabling innovative designs. By analyzing data and automating processes, AI is paving the way for a more sustainable and customer-centered future in fashion.

  • Adopt virtual try-ons: Utilize AI-generated digital models to allow customers to visualize clothing on themselves, reducing return rates and improving their shopping experience.
  • Explore generative design: Collaborate with AI tools to create unique patterns and styles, accelerating the design process while maintaining creativity.
  • Invest in sustainability: Implement AI to optimize inventory, reduce waste, and support circular fashion practices for an eco-friendly approach to production.
Summarized by AI based on LinkedIn member posts
  • View profile for Daisy Z.

    AI Apps Investor @a16z

    9,989 followers

    New Andreessen Horowitz thesis - AI x Online Shopping! Shopping used to be a hunt. With AI, it’s ‘God Mode’. AI is transforming online shopping into something intelligent, predictive, and visually intuitive. Instead of searching for products, the right picks come to you — curated, customized, and ready to buy. Here’s how Bryan Kim and I see it playing out 👇 1/ No more “will this look good on me?”: AI try-ons let you see fit, drape, and style on your own digital twin — making shopping visual and data-driven. 2/ From “nothing to wear” to AI-curated style: AI stylists recommend outfits based on your closet, calendar, weather, and taste. 3/ From imagination to inventory: You can now design and refine custom products in real time — AI makes personalization scalable. 4/ AI finds the best deals: Smarter search surfaces affordable alternatives and secondhand picks — matching your style and budget. 5/ Brands connect at scale: LLMs run support, from refunds to shipping — with higher satisfaction and zero wait time. This is just the beginning. What’s next is predictive, personalized shopping powered by fully integrated AI assistants. Outfits are becoming first-class primitives — dynamically styled from what you already own or imagined entirely by AI. For more of our thoughts, check out the full blog post below - and we'd love to hear from you if you're building something here! 👋 https://lnkd.in/gFWB3K9b https://lnkd.in/g99-Caz7

  • View profile for Hardeep Chawla

    Enterprise Sales Director at Zoho | Fueling Business Success with Expert Sales Insights and Inspiring Motivation

    10,881 followers

    The evolution of fashion using AI. The fashion industry is embracing artificial intelligence to revolutionize how it designs, produces, and delivers. This integration is not just about innovation—it’s about creating a more efficient, personalized, and sustainable future for fashion. Here’s how AI is making an impact: 1. Smarter Designs: AI tools analyze trends and customer preferences to help designers create collections that resonate. For example, generative AI suggests patterns and styles, speeding up the creative process. 2. Efficient Production: Predictive analytics powered by AI reduces overproduction and waste by forecasting demand with greater accuracy. This ensures the right inventory is produced, minimizing environmental impact. 3. Personalized Shopping: AI enhances customer experiences by offering tailored recommendations and virtual try-ons, making online shopping more interactive and reducing returns. 4. Sustainability: AI supports sustainable practices by optimizing supply chains, sourcing eco-friendly materials, and promoting circular fashion models that extend the lifecycle of garments. Brands like H&M and Nike are already leveraging AI to predict trends, manage inventory, and improve customer experiences. As AI continues to evolve, it’s reshaping the industry, offering endless opportunities for creativity and efficiency. How will your brand adapt to this transformation? Share your thoughts below.

  • View profile for Anna Peron

    Senior Delivery Consultant with a focus in Software Engineering and AI

    4,774 followers

    𝗔𝗜 𝘅 𝗙𝗮𝘀𝗵𝗶𝗼𝗻 𝗶𝘀 𝘁𝗵𝗲 𝗻𝗶𝗰𝗵𝗲 𝗾𝘂𝗶𝗲𝘁𝗹𝘆 𝗮𝘁𝘁𝗿𝗮𝗰𝘁𝗶𝗻𝗴 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝗩𝗖 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻… It’s not the loudest AI sector, but it’s one of the most quietly consistent. Funding into AI fashion startups has stayed steady, even as overall VC spend has dipped. Why? Because the global fashion industry is worth $𝟮.𝟯𝗧 𝗯𝘆 𝟮𝟬𝟯𝟬, and AI is solving real problems across it. 𝗪𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗺𝗼𝗻𝗲𝘆’𝘀 𝗴𝗼𝗶𝗻𝗴: 𝟭. 𝗧𝗿𝗲𝗻𝗱 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 Startups like @𝗭𝗵𝗶𝘆𝗶 𝗧𝗲𝗰𝗵 and FINESSE are spotting viral styles before they go mainstream, helping brands move faster and waste less. 𝟮. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗱𝗲𝘀𝗶𝗴𝗻 Raspberry AI and BLNG AI are using AI to turn sketches into 3D mockups, streamlining how collections are made. 𝟯. 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 Daydream and Lily AI improve how shoppers find what fits them, and how retailers sell smarter. 𝟰. 𝗙𝗶𝘁 & 𝘃𝗶𝗿𝘁𝘂𝗮𝗹 𝘁𝗿𝘆-𝗼𝗻𝘀 𝗧𝗲𝗰𝗵 𝗳𝗿𝗼𝗺 Doji, Veesual and IAMBIC are reducing returns with avatars, diverse models and custom-fit footwear. 𝟱. 𝗦𝗺𝗮𝗿𝘁 𝗺𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 From real-time defect detection (Smartex.ai) to AI-powered textile recycling (Refiberd, and Solena Materials Limited), the backend is getting an upgrade too. Fashion is fast, wasteful and competitive. AI offers a way to stay ahead. 𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗼𝗿 𝗵𝗶𝗿𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗶𝘀 𝘀𝗽𝗮𝗰𝗲, 𝗹𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁. 𝗧𝗵𝗲 𝘁𝗮𝗹𝗲𝗻𝘁 𝗿𝗮𝗰𝗲 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘀𝘁𝗮𝗿𝘁𝗲𝗱. #AI #AIstartups #SanFranscisco #NYC

  • View profile for Matthew Seitz

    Executive Director, AI Hub for Business | University of Wisconsin | Ex-Google Executive | Kellogg MBA | Keynote Speaker | AI Advisor | Board Member | 4x Ironman

    5,330 followers

    “Clothes designed with AI outsold human-only ones by more than 2 to 1.”    That’s a compelling headline, but there’s a deeper story on how humans working with AI can drive innovation in luxury fashion.  Page Moreau, Emanuela Prandelli and Martin Schreier worked with luxury fashion house Missoni, digital co-creation platform AWAYTOMARS and IBM on a unique design experiment.  Here’s how it worked: Missoni fed hundreds of 𝘭𝘰𝘴𝘪𝘯𝘨 𝘦𝘯𝘵𝘳𝘪𝘦𝘴 from a crowdsourcing contest into an AI model. Then 𝘩𝘶𝘮𝘢𝘯 𝘥𝘦𝘴𝘪𝘨𝘯𝘦𝘳𝘴 created new pieces based on the AI’s output. These products went on to outsell the contest winners by a 2 to 1 margin. Here are my takeaways:  • 𝗥𝗲𝘁𝗵𝗶𝗻𝗸 𝘁𝗵𝗲 𝘃𝗮𝗹𝘂𝗲 𝗼𝗳 “𝗯𝗮𝗱” 𝗱𝗮𝘁𝗮. The losing designs provided a unique input for model training. What valuable data is your company discarding?    • 𝗕𝗿𝗶𝗻𝗴 𝗔𝗜 𝘂𝗽𝘀𝘁𝗿𝗲𝗮𝗺. Most businesses are harnessing AI for cost cutting, but it can drive innovation as well.  • 𝗛𝘂𝗺𝗮𝗻𝘀 + 𝗔𝗜: 𝗯𝗲𝘁𝘁𝗲𝗿 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿. This new process harnessed AI’s power and preserved Missoni’s brand identity. Research Credit: Page Moreau Wisconsin School of Business, Emanuela Prandelli Università Bocconi University and Martin Schreier WU (Vienna University of Economics and Business) #AI #FashionDesign #Creativity #HumanInTheLoop #WisconsinResearch #DesignThinking

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