Teaching agribusiness logistics requires helping students work through complex systems where decisions about inventory, transportation, and network structure are closely connected. In an upper-level agribusiness logistics course, the instructor uses AnyLogistix as a routine classroom practice to help students move beyond isolated calculations and toward system-wide decision-making. The software is used as a way for students to examine logistics performance under realistic operating constraints. Students begin with a logistics network that performs poorly, reflecting common agribusiness challenges such as unmet demand, limited transportation capacity, and poorly aligned inventory placement. Core elements of the system, including demand patterns, facility locations, and baseline inventory, are held constant to reflect constraints typically faced by managers. Students review simulation results to identify the sources of service failure and test targeted changes related to fleet size, inventory policy, and outbound routing decisions. This structure shifts attention away from finding a single best solution and toward understanding tradeoffs and decision sequencing. This teaching practice helps students recognize that logistics systems are designed before they are optimized and that some inefficiency may be necessary to protect service reliability. The approach can be used in other courses and disciplines that involve complex systems, including supply chain management, operations management, agricultural systems, and applied economics. The practice may also serve as a starting point for future instructional research.