AI has proven to be a strong contender for decision making. Simulation can provide data for training an AI policy in industrial areas where data availability and scenarios can pose a challenge. We introduce use cases in field of Material Flow where Simulation based AI policies can serve the purpose better, considering the dynamic nature of the system.