Cross-supplier order allocation can give full play to the advantages of the cloud platform, and effectively integrate and utilize the remaining resources of each supplier. This paper presents an integrated scheduling model dominated by cloud platform. Based on this pattern and the supplier's capacity constraints, transportation constraints, and order constraints, a cross-vendor order allocation model for cloud platform centralized integration scheduling is constructed. The method for model solving based on the improved genetic algorithm is given. Finally, an example is given to illustrate the effectiveness of the proposed model and algorithm. The Matlab experiment results show that the orders can be distributed scientifically among various suppliers, and that the idle resources of each supplier can be effectively used and the cost can be optimized.