AI in Fashion

How AI is being used in the world of fashion.

Artificial intelligence (AI) is being used by fashion brands to create personalized experiences and stunning designs. By leveraging AI-driven analytics, these brands predict consumer preferences, optimize supply chains, and even generate eye-catching, avant-garde designs. Discover how the companies below are using AI to enhance their offerings.

If you’re interested in the latest AI trends, technologies, and best practices, please consider booking an online consultation to learn how we can help you and your organization leverage the power of AI for your business. Learn more.

Alibaba x Guess

Alibaba and Guess have partnered to launch a concept store in Hong Kong that uses AI technology to enhance customer engagement. The store features interactive digital displays and smart mirrors that allow customers to try on virtual outfits and purchase items through facial recognition technology.

Read more.

Armani Beauty x ModiFace

Armani has launched an augmented reality (AR) makeup try-on tool with Face Maestro, the brand’s first digital service, which leverages AI to analyze seven of the user’s facial features. The algorithm was trained on more than 10,000 photos to provide user-specific makeup recommendations.

Read more.

Burberry x Google

Burberry has partnered with Google to use AI and cloud technologies to enhance customer engagement and drive sales. The partnership includes an immersive, virtual replica of Burberry’s London flagship store, powered by Google’s AI.

Read more.

Chanel x Farfetch

Chanel has partnered with online luxury fashion retailer Farfetch to create a customized digital storefront that uses machine learning algorithms to analyze customer data and make personalized recommendations for each shopper.

Read more.

Coach x WGSN

Coach has collaborated with WGSN, a trend forecasting and analysis platform, to offer customers joint trend reports and insights, allowing both companies to provide the fashion industry with more comprehensive trend forecasting and analysis.

Read more.

Cole Haan x FindMine

FindMine is an AI startup providing an automated product curation and styling platform for fashion brands and retailers, including Cole Haan. The platform uses machine learning algorithms to analyze product data and customer behavior to create personalized outfit recommendations and product collections. The technology provides customers with a seamless shopping experience and drives increased sales and customer engagement for fashion brands.

Read more.

Dior x SmartPixels

Dior has partnered with SmartPixels, an AR technology company, to create an immersive in-store experience for customers. SmartPixels uses machine learning algorithms to detect a customer’s movements and projects virtual elements onto their body, such as a dress or coat, allowing them to try different styles virtually.

Read more.

Gucci x Snap

In 2019, luxury fashion brand Gucci partnered with Snap to create an AR-powered try-on experience. The app uses machine learning algorithms to create a realistic 3D model of a user’s face, then overlays virtual versions of Gucci’s sunglasses on top, letting users try on different styles virtually before purchasing.

Read more.

H&M x Google Cloud

H&M has partnered with Google Cloud to improve its supply chain operations and enhance the customer shopping experience. Google Cloud’s data analytics and machine learning capabilities will help optimize H&M’s inventory management, reduce waste, and achieve the brand’s sustainability goals. H&M aims to create a more sustainable and customer-centric business model in the fashion industry.

Read more.

Louis Vuitton x Heuritech

Louis Vuitton partnered with Heuritech, an AI startup specializing in trend forecasting, to gain insights from social media data and customer feedback. The luxury brand uses Heuritech’s technology to analyze fashion trends and predict which products will be popular among consumers, allowing Louis Vuitton to create more targeted and effective marketing campaigns and product lines.

Read more.

Tommy Hilfiger x IBM’s Watson

Tommy Hilfiger partnered with IBM’s Watson to create a smart clothing line using the power of AI to provide personalized styling recommendations. The line, Tommy Hilfiger Xplore, includes embedded chips that track wearers’ movements and environmental conditions, such as temperature and humidity. This data is then fed into IBM’s Watson platform, which analyzes the information and provides personalized styling recommendations to the wearer through an accompanying mobile app. The app also offers rewards for wearing the clothing, such as discounts and exclusive experiences.

Read more.

ZARA x El Arte de Medir

El Arte de Medir helped Inditex design and implement programs that leverage data analytics to personalize the customer experience and improve customer retention. The program uses machine learning algorithms to analyze customer data and identify patterns and trends in customer behavior.

Read more.