This paper applies a bio-inspired routing approach, derived from the behavior of the slime mold Physarum polycephalum, to in-plant logistics in a Calucem cement facility. We implement a browser-based simulation that compares the Two-Way Parallel Slime Mold Algorithm (TPSMA), a Genetic Algorithm (GA), and Christofides’ method under identical scenarios, and we map the results into an interactive 3D model built in the open-source Godot Engine. Results indicate that TPSMA balances route quality and runtime in obstacle-rich layouts, Christofides yields near-optimal paths with minimal computation, and GA offers flexibility at higher runtime cost. The workflow demonstrates how open-source visualization enhances interpretation, validation, and communication of optimization outcomes for Industry 4.0 logistics.