Aiming at the problems such as administrative confusion, poor data processing efficiency and slow decision-making speed of logistics IOT. A logistics IOT intelligent decision support platform for differentiated access of various ubiquitous intelligent devices is designed. According to the data generated by a variety of ubiquitous intelligent devices, 5G non orthogonal code access method is adopted to realize the equipment differential access. Thrift data acquisition technology is used to complete data collection. Intelligent fair scheduling algorithm is used for data processing and data transportation scheduling, and then the high-speed data acquisition is adopted An intelligent decision support platform is designed by using hybrid cloud storage algorithm to store and classify data. Through the comparative analysis of three different types of platform simulation diagrams, it is proved that the intelligent decision-making platform designed in this study has the largest increase in data transmission gradient and less waiting delay time, which can effectively solve the problems such as poor decision-making efficiency and data confusion of logistics IOT.