We worked with Bonprix to develop a custom automation solution for generating a consistent and scalable set of product images for their footwear collection. The goal was to streamline their image production while maintaining high-quality, photorealistic visuals for their e-commerce platform.

To achieve this, we built an automated rendering pipeline that processes Bonprix’s provided 3D data, ensuring that each shoe is rendered with precise materials, lighting, and composition. However, to avoid a rigid, overly mechanical look, we introduced a controlled variation in placement—subtly adjusting the position of the shoes across different images.
This small but intentional randomness adds a sense of natural variation, making the visuals feel more engaging while still maintaining brand consistency.

By implementing this automation, Bonprix can now efficiently produce large volumes of product images without the need for manual adjustments, drastically reducing production time while ensuring a cohesive yet dynamic presentation of their footwear lineup.
This project highlights the power of CGI-driven automation in balancing efficiency, consistency, and visual appeal for large-scale product catalogs.