These days, AI is taking over everything, even the fashion industry. According to PR Newswire, the global fashion AI market grew from $0.65 billion in 2022 to $0.91 billion in 2023. This shows an average compound annual growth rate of 40% with an expected worth of $3.72 billion by 2027.
AI and fashion may sound like a crazy combo, but in reality, AI in fashion can be a powerful tool for multiple aspects of the fashion industry. From fashion design to generative AI and even supply chain management, AI can do it all.
Ready to explore more about AI Trends? Keep reading below to discover additional information.
Enhanced Sizing Analytics
In a traditional store, customers would have to browse the racks and physically try on each outfit from different clothing brands. But sizes, especially for women, can fluctuate wildly in terms of proper fit from brand to brand. Time Magazine reported that a pair of size 6 jeans can fluctuate by as much as 6 inches in the waistband alone.
With AI in fashion, customers can receive a more personalized experience. They can do so without the hassle of trying on multiple clothing sizes to find the right fit. They can input their data such as height, weight, and specific body measurements.
The AI system can recommend the best sizes and fits in each brand name. This allows for a seamless shopping experience for customers to obtain an optimum fit.
Virtual and In-Store Try-On Options
Shopping online can complicate the clothing sizing dilemma even further. When customers shop online, they can see the clothing for themselves in-person. They are blindly trusting that what they’re buying will fit them based on what the website says.
More than 70% of returns are made based on poor fit and style. AI in fashion technology can provide customers with more options for a better virtual shopping experience. Many fashion sites now have AI virtual avatar models that customers can customize to their likeness to “try-on” clothes online.
This technology blend of AI and fashion can even be used in the form of an AI mirror for in-store shopping. Customers can stand in front of this mirror to see the clothing projected onto their bodies for different styles and brands.
Increased Generative AI in Fashion Design
AI in fashion is revolutionizing the fashion industry when it comes to fashion design. The fashion design industry is seen as one of the most wasteful industries with 11.3 tons of textile waste thrown into landfills each year.
Designing new clothing styles can also waste a lot of materials and resources. This is especially true when constant alterations are occurring. Coming up with new designs can also be a daunting challenge for fashion designers.
But with AI, it’s much simpler to use a fashion design program. AI programs let fashion designers play around with a variety of different textures and designs before creating the real product. They can also view how the material drapes and moves which makes fashion designing a breeze and cuts down on wasted material.
Brand Co-Collaboration With Consumers for Design Personalization
Incorporating generative AI in fashion design also allows customers to become co-collaborators of a brand. For example, shoe brands Nike and Vans are now letting consumers take the helm with their customization programs.
These programs allow consumers to add pre-made design options, photos, and even their own artwork to create shoe designs that are truly one-of-a-kind. They can view these designs in real-time through the AI software and rotate the model shoe on the screen as they create and customize.
Then, they can order their custom show creation and it will be shipped to them with their unique personalization. This is a fantastic way for brands to build up brand loyalty with their customer base. Offering personalized products through a customization platform is one of the most popular and current AI Trends in fashion.
Improved Supply Chain Management
The fashion world is always changing and evolving. Each year top designers reveal their seasonal designs for the year at events like New York Fashion Week as well as Paris, Milan, and London. When new fashion trends surge, fashion brands see an uptick in the demand for certain items.
If fashion retailers are not able to keep up with these demands, it can cost them valuable sales. AI in fashion allows brands to adjust their orders to meet these demand spikes.
AI also follows current fashion trends to ensure warehouses are always stocked. This means they will only have adequate stock of the most popular items on hand.
Additionally, video analytic solutions can track what items are most popular within different retail locations, allowing fashion companies to better prepare their backstocks based on local market trends.
AI in Fashion Helps Identify Counterfeit Products
Counterfeit products are a constant challenge in the fashion industry. For every genuine designer fashion product, there is likely to be a fair share of knock-off or counterfeit products on the market as well. To the untrained eye, these products look just like the real thing, but they are usually offered for a fraction of the cost of the original product.
Where counterfeit products often fail is in their durability and overall build. Customers who mistake a counterfeit product for the real thing can have a negative opinion of the brand. This also hurts designers who have to contend with cheaply made products.
AI in fashion can help identify counterfeit products by scanning labels and product codes. It can also detect subtle differences in the patterns and textures between the authentic product and the counterfeit item. This puts consumers at ease knowing they’re getting the genuine article.
Automated Product Tagging and Pricing
AI in fashion can increase workflows by automating many time-consuming and tedious processes in the fashion industry. One of these areas is in tagging and pricing products. With AI, it’s much easier to have the system do the work for you.
AI computers can scan products with multiple sensors and pinpoint key attributes like colors, fabrics, and textures. The AI can create accurate descriptions of these items for product tagging and for use on websites.
AI can also use technology to analyze pricing data, competitor prices, and consumer buying habits to create the most optimized pricing structure for fashion brands.
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AI in fashion technology is a game-changer for the fashion industry. AI technology is helping to reshape the fashion industry for the better by allowing for automation, generative AI fashion design, helping to navigate supply chain management, and so much more. In the near future, it is likely that AI and fashion will continue to be a powerful combination.
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