Imersian's Spatial AI reads the real geometry of a shopper's room — so furniture and decor sit on actual surfaces, not floating over them. That's the confidence that turns browsers into buyers on high-ticket purchases.
Imersian's Spatial AI reconstructs a true-to-scale room from a single photograph — detecting room dimensions, surface geometry, and ambient lighting without LiDAR or manual calibration. It's the core technology behind accurate product placement across the platform, built to handle real consumer rooms as they actually are: irregular shapes, angled walls, and cluttered layouts, not just simple rectangular boxes.
Generic 3D applications project flat 3D models onto camera feeds, resulting in floating objects that lack proper scale, depth, and lighting. When shoppers see an unrealistic representation of a $2,000 sofa, trust is broken, and the sale is lost.
True scale and depth mapping
Imersian's spatial AI reconstructs the depth field of a room from a single photograph — detecting surface positions, wall distances, and the spatial relationship between existing objects. A sofa placed near an existing armchair correctly appears to overlap it rather than floating in an impossible foreground position. This is not AR overlay; it is genuine scene understanding.
The AI analyses the colour temperature, intensity, and directionality of light in the shopper's room photo — then renders the 3D product with matching ambient illumination and cast shadows. A rug in a north-facing room with cool daylight looks materially different from the same rug in a south-facing room with warm afternoon sun. Both previews are accurate to their environments.
Every 3D model is anchored to its real physical dimensions from your product catalog. The spatial AI calibrates product scale against the detected room geometry so a 2.3 metre sofa renders as 2.3 metre in the shopper's actual space, not an approximation. This dimensional accuracy is what eliminates size-related returns: the product the shopper previews is the product they receive.
42% reduction in returns.
Stop using generic 3D. Give your shoppers the confidence of absolute physical accuracy.
A single photo of the room is all the Spatial AI needs. No special camera, no LIDAR scanner, any modern smartphone photo captures enough depth and perspective data.
Imersian's Spatial AI analyses perspective cues, surface normals, and lighting in the photo to reconstruct floor plane, wall positions, and approximate room scale.
3D product models are inserted into the scene anchored to the detected floor, sized to real-world dimensions, and lit to match the room's ambient light, not just overlaid as a flat image.
Shoppers move, rotate, and swap products in real time. Every adjustment is rendered spatially accurate so what they see matches what they'll receive.
No. While LiDAR-equipped devices (like the iPhone Pro) offer enhanced speed, our Spatial AI engine uses advanced computer vision to achieve millimeter-accurate scale and depth on standard smartphone cameras.
The camera feed is continuously analyzed for light intensity, color temperature, and directional light sources. These parameters are fed into our rendering engine to dynamically light the 3D model, ensuring it casts realistic shadows that match the room.
Generic AR libraries place a 3D model on a flat plane and stop there. Imersian's Spatial AI reconstructs the scene's geometry, lighting, and depth from a single photo — so products render at true scale, cast accurate shadows, and correctly disappear behind real objects in the room (like a doorframe or an armchair) instead of floating in front of them.
No. Spatial AI runs entirely in standard mobile and desktop browsers from a single room photo. There are no app downloads, no LiDAR requirements, and no device-specific gating.
The same spatial data feeds the AI Shopping Assistant, room aware product recommendations, and Design Studio renders. Spatial AI is the core layer; the visualizer, assistant, and content tools are downstream applications of it.
No. Spatial AI works from your existing product catalog — Imersian's AI 3D Creator converts your standard 2D product photos into the 3D models Spatial AI needs, so you don't need an existing 3D library to get started.
Spatial AI runs in the browser, with no app to install and no device requirements for your shoppers. On your side, it plugs into your existing product catalog — book a demo and we'll walk through the setup and timeline for your store specifically.
Spatial commerce is the emerging category of ecommerce technology that uses 3D, AR, and spatial AI to let shoppers experience products in real-world contexts before purchasing. This guide defines the term, explains how it differs from standard AR or 3D visualization, and outlines why it matters most for home and furniture retail.
NVIDIA's Omniverse NuRec is pushing neural reconstruction 3D visualization to new heights; converting real-world sensor data into photorealistic Gaussian splatting scenes that power physical AI for robotics and autonomous vehicles. The same foundational technology is reshaping how consumers experience products online. Imersian's spatial AI platform brings this same generation of visualization intelligence to furniture and rug retail, giving shoppers the confidence to buy.
Furniture returns are primarily a spatial problem. Shoppers cannot judge size, scale, finish, or fit from flat product photography alone. This guide explains why furniture returns happen, how 3D room visualization addresses the root causes, and what results retailers can expect.