Case Study: Decathlon slashes image editing costs by 99% with Photoroom

Decathlon slashes image editing costs by 99% with Photoroom

Decathlon, a global sporting goods retailer, faced significant challenges in managing its vast product image catalog. The company relied on external agencies for manual editing, which resulted in high costs of several euros per image, slow turnaround times of two weeks per 1,000 images, and inconsistent results due to misinterpreted guidelines. To address this, Decathlon partnered with Photoroom and utilized its API for background removal and AI shadows to automate and standardize its image editing process.

By implementing Photoroom's API, Decathlon automated its image editing with batch processing. The solution slashed editing time by 99.8%, processing 1,000 images in just 20 minutes instead of two weeks. This reduced the cost per image by 99% and saved the company six figures in euros. Photoroom enabled a team of just one or two people to manage the entire process, editing 35,000 images with 99% quality test pass rates and achieving unprecedented consistency across its product categories.

Decathlon