The traditional warehouses use manual or man-machine methods to transport goods, use paper and pen to record related inventory and data of incoming/outgoing, which has many problems such as low efficiency, many security risks, and high employment cost. The development of modern industry and commerce has put forward a higher demand for warehouse storage technology, which is not only limited to the cost category, but also becomes a strategic tool to obtain profits. This study introduces the whole structure, the functions of each subsystem and the design of the main parts of the automated three-dimensional warehouse system. In order to further improve the production efficiency and improve the overall profitability of the company, this paper, based on the laboratory automated three-dimensional warehouse system, applies Apriori algorithm of association rule data mining, mines the outbound information, and provides more scientific suggestions on production and outbound. The system has the characteristics of high automation, intelligence and information management, which is of great significance to improve the efficiency of warehouse management and increase the profits of enterprises.