AI-assisted furniture & lifestyle imagery at scale
Introduction
Transforming an extensive collection of manufacturer-supplied furniture photography into a structured, consistent and commercially usable visual library.
Combining Python-based image classification, Google AI, image enhancement and generative workflows, we developed a scalable production process for creating product cutouts and branded lifestyle imagery.
The project resulted in more than 1,000 AI-assisted images, supporting a cohesive visual experience across Homebound’s e-commerce platform.
The Challenge
Homebound’s furniture catalogue contained manufacturer-supplied images that varied significantly in resolution, quality and presentation. Some assets weren’t even categorised, making it difficult to organise and prepare them for website use.
Products also required different image formats, including clean, transparent cutouts and realistic lifestyle photography.
Producing these assets manually across an extensive catalogue would have been time-consuming and resource-intensive.
The challenge was to establish a scalable workflow that could organise, enhance and transform inconsistent source imagery into a cohesive, brand-aligned visual library.
Project Scope
The Creative Process
We began by developing a Python-based workflow, executed through Terminal, that used Google’s image recognition capabilities to classify and organise uncategorised product photography.
Once structured, images were prepared for production, including background removal to create transparent product cutouts and AI-assisted upscaling to improve low-resolution assets.
The enhanced product imagery then became the foundation for AI-generated lifestyle environments.
Through category-specific prompt development, interior styling and iterative refinement, we established consistent compositions, lighting and visual treatments that aligned with Homebound’s brand identity.
Outcome
The resulting workflow brought together image classification, product preparation, AI enhancement and generative image production into a repeatable creative process.
More than 1,000 AI-assisted images were produced, including product imagery and realistic lifestyle compositions designed for Homebound’s digital catalogue.
By combining technical problem-solving with creative direction, we established a consistent visual approach across multiple furniture categories.
The finished imagery is now used across Homebound’s website, demonstrating how AI-assisted production can support large-scale commercial creative work.
