Shopping for clothes online can be a task. Figuring out clothes size and style online without actually trying them can interrupt your shopping experience. The Virtual Fitting Room by Revery.Ai will assist you in shopping for clothes online better!
To enhance the shopping experience, Revery.Ai is developing a mechanism that supports artificial intelligence and computer vision to devise a better online dressing room experience.
The Virtual Fitting Room enables customers to try on clothes online anytime and anywhere. It helps you in matching outfits, choose from a variety of models and shop online. The Virtual Fitting Room also comes with bags and shoes try on.
The Virtual Fitting Room was developed under the supervision of University of Illinois Center for Computer Science advisor David Forsyth with a team of Ph.D. students Kedan Li, Jeffrey Zhang, and Min Jin Chong.
In an interview, Kedan Li said that the team is developing a tool that uses existing catalog images to process at a scale of over a million garments weekly, something previous versions of virtual dressing rooms struggled to do.
Revery employs deep learning and computer vision to improve the drape of clothing, and users may also modify their clothing model to seem more like them by adjusting skin tone, hairstyles, and poses.
It is also fully automated, can handle millions of SKUs (Stock Keeping Units), and can be up and running with a customer in just a few weeks. Unlike its competitors, which employ 3D modeling or manually clean up an image to project on a model.
Revery, a California-based firm, is part of Y Combinator’s summer 2021 cohort, preparing to finish the program later this month. YC has invested $125,000 in the startup.
According to Li, the company currently has a two-year runway, but the firm wants to raise a $1.5 million seed round to help it develop faster and appear more mature to massive retailers.
Before Revery, Li worked on another business in the personalized email market, but it failed due to free versions of existing significant legacy players. He grew interested in fashion while exploring sectors with less monopoly and more possibility to commercialize the technology. He collaborated with a new consultant to start a wardrobe collection, but that project fell off.
Working with Forsyth, the team hit its peak, iterating on the technology to target business-to-business customers that already had photos on their websites and users but needed the computer vision part.
According to Li, their virtual dressing room product is currently available on numerous fashion e-commerce platforms, including Zalora Global Fashion Group, one of Southeast Asia’s most prominent fashion corporations.
Customers are reporting high conversion rates of three to five times what they have previously observed. For instance, in Zalora, the team ran A/B testing, achieving a 380 % increase in sales.
Revery is already in discussions with over 40 merchants that want to employ the Virtual Fitting Room, putting it on their roadmap to win over the online clothes shopping business.
In the future, the company plans to increase adoption and go live with new clients. To differentiate itself from the growing number of online competitors, Li intends to invest in body type skills of the Virtual Fitting Room, which retailers have requested. He explains this type of technology is complex because there aren’t many diverse body shape models available.
He anticipates that the company will have to collect personal data for Revery to offer the opportunity for consumers to design their avatars to view how the clothes look.
The Virtual Fitting Room by Revery.Ai is perfect for shopping for clothes online. Since the pandemic, people have mainly shifted to online shopping, and this technology can bloom the online clothes shopping experience of many consumers.
The Virtual Fitting Room can surely help boost the e-commerce fashion industry worldwide by increasing online engagement and conversion.
