The system is built for private and municipal waste management companies that operate bring systems or depot containers. It works with different container sizes and can be used across regions. It integrates smoothly into existing operations, regardless of your current IT setup.
You reduce collection days, cut costs, and ease the workload for drivers and dispatchers. At the same time, overflowing containers and complaints decrease. You also improve your competitiveness in tenders through more reliable service and better documentation.Setup is fast, no additional hardware is required, and operations remain stable during staff shortages because routes, knowledge, and processes are stored in the system instead of in people’s heads.
Instead of visual inspection, drivers record fill levels in the app. In practice, recording takes under 20 seconds at a location with three containers. The process is fully integrated into the normal tour workflow.
Pricing depends on the size and structure of your service area. The system is funded through the savings from fewer emptying days and reduced driving time. Compensation is based on a share of the measurable value created and is explained transparently during the free initial consultation.
We start with a free initial consultation to assess potential, constraints, and the right pilot scope. Drivers then record fill levels during normal tours, without sensors and without extra trips, until a reliable picture of fill behavior is established.Next, we roll out optimized route planning step by step with weekly tuning. After 3 to 6 months, we unlock additional potential through improved forecasts and, where relevant, container placement optimization.
Depending on the starting situation, savings of 30 to 45 percent in collection days and vehicle hours are achievable. Results depend on current routes, infrastructure, and unloading conditions. In areas with frequent overflows, the initial priority is stabilizing service levels while efficiency improvements follow.
Data instead of gut feeling: fully automated planning.