Perfect Corp.’s WANNA Adds Shoulder Try-On to AR for Bags

• New feature lets shoppers see how bags look on their shoulder, enhancing virtual try-on realism.
• Built with proprietary AI for pose estimation, occlusion handling, and seamless motion on mobile.

WANNA, part of Perfect Corp., has launched a new capability within its virtual bag try-on tool that shows how bags appear when carried on the shoulder. This feature adds to existing try-on options by allowing users to view items from multiple angles, consider how bags coordinate with different outfits, and evaluate scale and placement before buying—all through a mobile device or browser.

"Fashion consumers expect digital shopping experiences as engaging and detailed as in-store interactions," said Zina Grossman, Head of Growth at WANNA in an official press release. "With the shoulder try-on feature launch, we’re refining how bags are showcased online and delivering an intuitive and memorable shopping experience."

The shoulder try-on system uses a proprietary AI engine that supports real-time 3D body tracking, segmentation, and depth-aware occlusion handling. The technology maintains accurate placement even as users turn sideways, aided by temporal smoothing algorithms that deliver stable, natural motion in both selfie and mirror views.

WANNA trained the model using a dataset of 487,000 images, including manually labeled, AI-synthesized, and pseudo-labeled data. Developed with input from luxury shoppers, the experience is optimized for mobile and web platforms and is available via SDK integration for use in e-commerce and digital marketing channels.

🌀 Tom's Take:

Virtual try-on remains one of AR’s most proven use cases—driving customer confidence, boosting conversion, and cutting returns. WANNA’s shoulder try-on expands what’s possible, bringing more apparel and accessories into the era of AR-powered shopping.

Source: BusinessWire