FAQ

WEARFITS provides AI and AR virtual try-on experiences for fashion e-commerce. Brands use WEARFITS to help customers visualize products more confidently online, which can increase engagement and conversion while reducing returns caused by uncertainty about fit, scale, or styling. WEARFITS supports virtual try-on for categories such as footwear, bags, accessories, and apparel, with deployment options designed for modern e-commerce journeys.

The WEARFITS experience is very realistic and is designed to look natural in real-life conditions, not only in controlled demos. It is built to handle imperfect lighting, movement, and everyday environments while maintaining stable edges and a believable visual fit. For footwear, realism includes strong occlusion handling so the virtual product appears correctly even when a shopper is already wearing shoes, which helps prevent "sticker-like" overlays.

In many cases, shoppers can use WEARFITS directly in the browser via a link or QR code, so they can launch the experience without installing a separate app. For brands that want deeper control of the customer journey, WEARFITS can also support SDK-based implementations inside iOS and Android apps. The best option depends on your UX goals, technical requirements, and analytics setup.

WEARFITS is built around three production priorities: realism, performance, and cost-effective scale. Realism includes robust masking and occlusion handling to keep try-on believable in real conditions. Performance focuses on fast start-up and stable results across devices and browsers. For scaling catalog coverage, WEARFITS supports multiple digitization paths, including existing 3D assets, photogrammetry for hero SKUs, and a one-photo 2D→3D workflow to expand try-on coverage efficiently.

WEARFITS is commonly used for footwear AR try-on, bags and accessories visualization, and apparel try-on experiences powered by AI. Categories that benefit most are those where customers hesitate because of fit, size, proportions, or how an item looks in real life. Many brands start with best-sellers or hero products and then expand coverage once impact is validated.

WEARFITS offers tiered plans based on active products and AR/try-on traffic. Starter is 449€ per month (1,200 active products, 10,000 traffic). Pro is 1,349€ per month (6,000 active products, 100,000 traffic). Scale is 4,499€ per month (12,000 active products, 500,000 traffic) and adds options like custom branding and SLA/uplink support. Enterprise is customizable for higher needs, including private cloud/on-prem and custom development. Annual billing lists a 10% savings. See wearfits.com/pricing.

On the WEARFITS pricing page, "Ultra quality digitisation" is listed as €14 per product per month or €149 as a one-time option, depending on plan availability. Many brands digitize hero SKUs first and expand based on performance, and if you already have 3D assets, WEARFITS can work with existing files to speed up rollout. For the latest details, confirm on wearfits.com/pricing.

Launch time depends on catalog size, category, asset readiness, and implementation method. A pilot for a limited set of SKUs is often the fastest route to go live and measure impact. Larger rollouts typically include scoping, asset preparation, integration, QA, and analytics tracking. WEARFITS is designed so brands can start small and scale coverage over time.

Asset requirements vary by category and desired realism. Some deployments use 3D assets for maximum fidelity, while other workflows can start from existing product imagery to move faster. WEARFITS supports multiple input options so you can launch based on your current asset readiness and upgrade quality as you expand coverage.

Most brands measure ROI using try-on engagement, conversion lift for products where try-on is enabled, and changes in return rates for covered SKUs. A structured test, such as an A/B test or staged rollout, helps isolate impact. WEARFITS can be instrumented with analytics events so teams can compare performance before and after launch and quantify value as coverage grows.