The data collected by the digital app is used for AI-based calculation of the optimal transport processes. For this purpose, transports are bundled and assigned to means of transport, taking into account the pick-up periods, and the optimal route of the individual transports is also determined.
When optimizing the transports, an AI is used that takes into account both the restrictions of the drivers and vehicles (max. payload, loading volume, break times, etc.) and the general conditions of the individual consignments (weight, pick-up time at the workshop, etc.). The optimization goal is the minimum total distance travelled by the transports and, implicitly, the minimization of CO2 emissions while complying with time restrictions. The expected arrival of cores at the reman plants can – similar to the current stock of cores – be used to schedule the reman processes.
• “Reverse last mile problem”: Optimized reverse logistics flow of used car parts from small locations such as automotive workshops.
• Bundling of reverse transport volumes of several product types and producers.