Hero
Generative & Agentic AI
Generative AI Applications
Home & Interior E-Commerce

Generative Room-Concept Application for an Online Interior-Design Marketplace


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Problem

Hours per concept board

An online interior-design marketplace with 14 regional design hubs relied on designers hand-assembling every room concept board. Each brief took hours of product hunting across catalogue spreadsheets and image folders, clients frequently rejected the first concept outright, and the number of paid projects each designer could carry plateaued while lead volume kept growing.

Solution

Generated shoppable room concepts

We built a generative design application that turns a client brief, room photos, and style quiz into three rendered room concepts, composing catalogue furniture into photorealistic scenes through a fine-tuned diffusion model with product-preserving inpainting. Designers refine rather than start from blank, swapping items from live inventory with prices and shoppable links attached automatically.

Measurable Impact

What changed after launch

Time to first concept board cut from an average of 6 hours to under 45 minutes

Concept boards produced per designer per week rose from 9 to 21 across the 14 hubs

First-concept client approval improved from 38% to 61% with three generated options per brief

Product click-through from concept boards to purchase up 34% quarter on quarter

Tech & Tools Used

What powered the build

Python (FastAPI)
PyTorch
Stable Diffusion (fine-tuned)
ControlNet
Next.js
Node.js
PostgreSQL
Redis
AWS S3 + CloudFront
Docker

Ready to Build your Home & Interior E-Commerce Business with Generative AI Applications

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