Revery.ai: Virtual Dressing Room with AI & Computer Vision

Revery.ai: Revolutionizing Online Fashion with AI-Powered Virtual Dressing Rooms

The process of determining clothing size and fit while shopping online can often detract from the overall experience. However, Revery.ai is actively developing a novel solution that utilizes computer vision and artificial intelligence to enhance the online shopping experience.

Development and Team

Guided by David Forsyth, an advisor from the University of Illinois Center for Computer Science, a team comprised of Ph.D. students – Kedan Li, Jeffrey Zhang, and Min Jin Chong – is pioneering a tool considered to be the first capable of processing over a million garments weekly using existing catalog images.

Li explained to TechCrunch that previous virtual dressing room iterations struggled to achieve this level of scalability.

Funding and Growth

Based in California, Revery participated in Y Combinator’s summer 2021 program and is nearing completion. The company has received $125,000 in backing from YC.

While the company currently possesses a two-year financial runway, Li indicated a desire to secure a $1.5 million seed round to accelerate growth and project a more established image to potential large-scale retail partners.

From Personalized Emails to Fashion Tech

Prior to Revery, Li explored a startup focused on personalized email marketing. However, he encountered challenges competing with established, free alternatives.

Seeking an area with less market dominance and greater monetization potential, he shifted his focus to the fashion industry. An initial attempt at building a wardrobe collection proved unsuccessful.

The Power of Collaboration

The team discovered its momentum while collaborating with Forsyth, iteratively refining the technology to target business-to-business clients.

These clients already possessed the necessary images and user base, but sought to integrate advanced computer vision capabilities.

Differentiating Technology

Revery distinguishes itself from competitors by employing deep learning and computer vision, rather than relying on 3D modeling or manual image manipulation.

This approach allows clothing to drape more realistically and enables users to personalize their virtual model with features like skin tone, hairstyles, and poses.

Furthermore, the system is fully automated, capable of handling millions of SKUs, and can be implemented with a customer within weeks.

Current Implementations

Revery’s virtual dressing room product is currently live on several e-commerce platforms, including Zalora-Global Fashion Group, a leading fashion retailer in Southeast Asia, as stated by Li.

Impressive Results

“The results we are achieving are remarkable,” Li added. “Customers are reporting significant increases in conversion rates – approximately three to five times higher than previously observed.”

An A/B test conducted with Zalora revealed a 380% increase in conversions, fueling excitement for broader deployment across their platforms.

The Rise of Online Fashion

This technology emerges during a period of substantial growth in online shopping, accelerated by the recent pandemic. In the U.S. alone, e-commerce fashion accounted for 29.5% of total fashion retail sales in 2020.

The market is projected to reach $100 billion in value this year.

Future Plans and Expansion

Revery is currently engaged in discussions with over 40 retailers who are integrating this technology into their strategies for success in the competitive online landscape, according to Li.

Over the next year, the company will prioritize increased adoption and client onboarding. To maintain a competitive edge, Li intends to invest in body type capabilities, a feature frequently requested by retailers.

He acknowledges the challenges associated with this, citing a lack of diverse body shape models.

The company anticipates the need to gather its own proprietary data to enable users to create personalized avatars and visualize how clothing will fit their unique body types.

“We believe we are at the forefront of a significant shift and possess the right product to meet the evolving needs of the market,” he concluded.