AR/3D Content Personalization for Commerce

A major Scandinavian furniture retailer launched an AR placement application in 2017 that uses LiDAR-based room scanning to place true-to-scale 3D furniture models in customer environments with 98% size accuracy. The retailer reported a 35% increase in online sales following the application launch and a 35% reduction in product returns for AR-assisted purchases, according to multiple industry analyses published through 2025. In Feb. 2025, the retailer expanded the application with AI-powered personalized recommendations that analyze scanned room data to suggest compatible products, as reported by Grand View Research.

A global beauty retailer deployed a virtual try-on application that recorded more than 8.5 million virtual product trials in the first year of operation, according to a 2025 BrandXR research report. The application uses facial recognition and skin-tone analysis to recommend cosmetic shades personalized to each user, and the retailer leveraged AR interaction data to refine product recommendations continuously. The deployment contributed to a reported 112% increase in online conversions for try-on-enabled product categories.

In the B2B segment, manufacturers deploying interactive 3D product configurators with AR visualization have reported significant results. According to a 2025 Eyedex analysis, businesses implementing 3D configuration tools for industrial equipment and custom machinery have achieved up to 40% reduction in sales cycle time. One automotive manufacturer piloting a real-time 3D configurator reported a 66% increase in user engagement and a 9% increase in additional feature selection per vehicle, which directly increased average transaction value.