adiutaByte offers a web-based optimization framework that can be easily tailored to a variety of circumstances and enables the optimization of a wide range of planning processes. From the optimal positioning of depots to optimal shift times, automatic dispatching, and tour planning, adiutaByte covers the planning of the entire transport process on one platform. During planning, various parameters such as capacities, categories and delivery windows of orders, staff qualifications and customer preferences are automatically considered. The system enables both the optimization of tours and the resulting estimation of time windows for customers based on real traffic data and specific employee characteristics. The great advantage of adiutaByte is also the possibility of integrating external data sources of various kinds, such as weather, road works, historical data, etc. Thanks to the combination of optimization algorithms and machine learning, customer preferences for delivery times and even the employee-customer relationship can be considered to maintain consistency over time. This optimizes route planning as a holistic process.