RetailX Reports 2025

For RetailX, I produced a series of generative artworks using procedural modeling workflows in Blender’s Geometry Nodes, driven by algorithms based on advection in noise fields and chaotic attractors, like Lorenz and Aizawa. Each composition emerged from a parametric system designed to explore variation within controlled constraints—balancing structure, complexity, and spatial coherence.

The process focused on transforming mathematically driven behaviors into detailed geometric forms, resulting in compositions that evoke a sense of emergence, continuity, and transformation. These qualities aligned with RetailX’s editorial focus on contemporary innovation and optimism.

The project functioned as both a creative inquiry and a technical case study in using dynamical systems to develop scalable, high-resolution visuals for print and digital publication. The final outputs reflect how generative design can express abstract concepts, such as growth, complexity, and renewal, through procedural logic and computational aesthetics.