Case Study: a leading online furniture retailer achieves automated product image operations with WiserBrand

online furniture retailer automates 200,000+ product images with WiserBrand

An online furniture retailer faced the challenge of manually processing images for a vast and fast-changing catalog of over 200,000 products. This manual work was too slow, expensive, and inconsistent to support their growth, especially with supplier imagery that was often low-resolution or required different treatments for various image types. WiserBrand provided an AI automation and computer vision solution to address this.

WiserBrand built a custom automated image pipeline using neural networks trained specifically for furniture. The system classifies images, selects the best one for each product, applies intelligent cropping, and enhances low-resolution photos. This resulted in the automated handling of over 200,000 products, reducing manual work by up to 80% and creating a more visually consistent and compliant catalog.