Augmented reality clothing: Try -ons meaning
In the fast-paced world of online shopping, consumers are often faced with the challenge of selecting items that may not fit or look as stylish as expected. This can lead to an increase in returns, costing businesses billions of dollars annually. According to Snap’s Global Product Marketing Lead, poor fit or style accounts for a significant portion of returned fashion items, with McKinsey reporting that 70% of customers struggle to find clothes that fit.
Fortunately, advancements in technology have paved the way for a solution to this problem. Augmented reality (AR) and machine learning (ML) technologies now enable online shoppers to virtually try on clothes and other products before making a purchase. This innovative approach not only enhances the shopping experience but also empowers consumers to make more informed decisions.
What is Virtual Try-On?
Virtual try-on technology revolutionizes the way customers interact with products by allowing them to virtually try on clothes, makeup, and accessories before committing to a purchase. By simulating the in-store fitting experience through AR and ML or AI, virtual try-on offers shoppers a realistic preview of how the products will look on them. This not only boosts confidence in their purchases but also minimizes the risk of disappointment.
Let’s explore six exceptional examples of virtual try-on experiences that are reshaping the personal shopping landscape:
1. Warby Parker:
Warby Parker has set the standard for virtual try-on in the eyewear industry. Customers can use the Warby Parker app to virtually try on different frames, leveraging computer vision technology to analyze face shape and skin tone for personalized fit recommendations. With the ability to preview up to five frames and enjoy free return shipping, Warby Parker ensures a seamless and convenient shopping experience.
2. Sephora’s Virtual Artist:
Sephora’s Virtual Artist app allows makeup enthusiasts to experiment with various products virtually. By incorporating facial recognition technology to analyze face shape and skin tone, users can create personalized makeup looks and share them with friends. This interactive platform enhances the beauty shopping experience and encourages exploration of new products.
3. Nike Fit:
Nike Fit introduced an innovative approach to finding the perfect shoe size by utilizing AR and AI technologies within the Nike App. Users could scan their feet to receive accurate size recommendations. Although Nike has discontinued this feature, it remains a testament to the brand’s commitment to leveraging technology for personalized shopping experiences.
4. Zalando:
Zalando’s virtual fitting room leverages machine learning and computer vision tools to predict the ideal size for customers. Through pilot campaigns aimed at enhancing user engagement and adoption, Zalando continues to refine its virtual fitting room experience. With over 30,000 customers trying it out, Zalando is dedicated to developing a scalable solution for seamless online shopping.
5. Prada:
Prada’s virtual try-on feature on their website utilizes advanced AR and computer vision technologies to allow customers to test different sunglasses and accessories before making a purchase. By accurately measuring customers’ faces or bodies, Prada ensures that the products are positioned correctly for a realistic preview. This immersive experience enhances customer confidence in their selections.
6. Cosmo:
Cosmo Group’s Neonail manicure app offers customers a virtual application of over 2,500 nail polishes using AR and ML technologies. By creating a real-life nail salon experience, Cosmo Group enables customers to experiment with different nail polish shades before deciding on a purchase. This interactive approach enhances customer engagement and satisfaction.
In conclusion, virtual try-on technology is revolutionizing the personal shopping experience by empowering consumers to make informed decisions and reducing the likelihood of returns. These six exemplary virtual try-on examples demonstrate the transformative impact of AR, ML, and AI technologies in enhancing online shopping experiences across various industries. Embrace the future of personalized digital experiences that redefine the way we see photos and videos online via Stories AR.
