Hard to visualize
Static photos don't show how a piece fits a specific room, size, or style.
01CASE STUDY / COMPUTER VISION
See the furniture
before you buy it.
We built an AI-powered platform that converts vendors' 360° furniture videos into 3D models, then lets shoppers upload a photo of their room and realistically place and preview furniture in their actual space.
02THE PROBLEM
Buyers couldn't picture
the fit.
Furniture shoppers struggle to imagine how a product will look and fit in their real living space. That uncertainty lowers purchase confidence — and drives returns when the reality doesn't match expectation.
Low buying confidence
Uncertainty makes shoppers hesitate or abandon the purchase.
Costly returns
When furniture doesn't fit the space, returns are expensive and frustrating.
Flat product media
Vendors had rich product footage but no way to turn it into something interactive.
03WHAT WE BUILT
From 360° video to
your room.
The platform bridges vendors and shoppers: vendors upload 360° furniture videos that become 3D models, and shoppers upload room photos to place that furniture realistically within their own space.
01
360° video to 3D
Vendor-uploaded 360° product videos are processed into accurate 3D furniture models.
02
Room analysis
The system analyzes a shopper's uploaded room photo to understand the space.
03
Realistic placement
Shoppers position and preview furniture in their room with realistic scale and perspective.
04
Vendor pipeline
A streamlined flow for vendors to turn existing product footage into interactive 3D assets.
04INSIDE THE PRODUCT
A look at the
platform.
Real screens from the shipped product — from the AI dashboard and the live design studio to the furniture library and budget planner.
05HOW IT'S BUILT
Vision and 3D,
working together.
The platform combines computer-vision and 3D-processing pipelines on the backend with an interactive React experience on the front end.
CV
COMPUTER VISION
Understanding the room.
Computer-vision models analyze the shopper's room photo to establish space, scale, and perspective for realistic placement.
Computer Vision
AI Models
3D
3D PROCESSING
Video into 3D models.
A 3D-processing pipeline converts 360° vendor videos into usable furniture models that can be placed in a scene.
3D processing
360° capture
PY
AI BACKEND
The processing engine.
A Python backend orchestrates the vision and 3D pipelines and serves results to the application.
Python
AI pipelines
WEB
EXPERIENCE LAYER
Interactive previewing.
A React and Node application lets shoppers upload rooms, place furniture, and preview the result in an intuitive interface, on cloud infrastructure.
React
Node
Cloud
06OUR PROCESS
From discovery to
delivery.
A clear, staged engineering process that keeps the client involved and validates each decision before moving forward.
01
DISCOVERY
Defining the flow
Defined the two-sided flow — vendors creating 3D assets and shoppers visualizing them in their rooms.
02
ARCHITECTURE
Designing the pipelines
Designed the computer-vision and 3D-processing pipelines and the interactive front end.
03
BUILD
Building the platform
Developed the video-to-3D conversion, room analysis, and placement experience.
04
LAUNCH
Going live
Delivered an interactive platform that makes furniture shopping more confident and engaging.
07OUTCOME
Confident, interactive
shopping.
The platform improved customer confidence during furniture selection and enabled a more interactive, immersive digital shopping experience.
Higher buying confidence
Shoppers see furniture in their own space before committing.
Interactive experience
Visualization turns passive browsing into active, engaged shopping.
More value from vendor media
Existing 360° footage becomes interactive 3D assets.
08WHY ZEONE
Built by a team that
owns the whole stack.
From product thinking to backend, AI, and infrastructure, Zeone brings the full range of engineering disciplines together in one senior team — so complex, multi-part systems are built coherently, not stitched together.
End-to-End Ownership
One team owns every layer — product, engineering, and delivery — with no handoffs or gaps.
Product-First Engineering
Every technical decision connects back to real user value and business outcomes.
Production-Grade Standards
Built for reliability, security, and scale from day one — not bolted on later.
Long-Term Partnership
We build with the mindset of a partner invested in the product's success.
09NEXT STEP
Have a project
like this?
Whether it's an AI product, a platform build, or a complex engineering challenge — bring us the problem and we'll shape the path forward.