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In order to solve the problems of inefficiency, slowness and low fault tolerance of the existing logistics scheduling system, a logistics intelligent scheduling system based on Automated Guided Vehicle (AGV) and path planning optimization algorithm was designed. The system was equipped with AGV's logistics scheduling hardware, combined with path planning theory, and developed an intelligent path planning algorithm based on Petri network. Through the comparison of algorithm performance, it was known that the path planning algorithm had designed the optimal scheduling path to ensure higher accuracy and work efficiency. System test results showed that the logistics intelligent scheduling system based on AGVs path planning can complete scheduling tasks in various logistics environments or warehouse bases, and well solve the complicated scheduling problems of logistics enterprises during busy periods. The intelligent logistics dispatch system based on AGVs path planning improves the automation degree of logistics dispatch, ensures the efficiency of logistics scheduling and road transportation, and effectively promotes the development of business models and market norms.