This use case focuses on applying AI to optimize the energy consumption and CO₂ footprint of injection molding machines and related production logistics. The aim is to move from machine operation without AI-based energy optimization toward a holistic “green lifecycle” approach, where energy sourcing, machine operation, renewable electricity use, mobile robot routing, and production efficiency are jointly evaluated. AI and machine learning methods are used to calculate optimal energy paths, estimate CO₂ savings, support AI-enhanced MES capabilities, and improve production performance. The expected impact includes reduced CO₂ consumption, lower energy costs, shorter processing time, and a stronger foundation for sustainable, zero-CO₂-oriented manufacturing.