Mathematical optimization is a powerful tool for significantly and sustainably improving planning processes in companies. In existing systems, it can deliver double-digit efficiency gains without requiring compromises in other areas, such as service levels or sustainability. The downside of such systems, however, is that increasing complexity makes them harder to use, and optimization results are often difficult for humans to fully understand.