The uncertainty of product demand makes enterprises often have temporary or sudden logistics demands. The logistics services spot market plays an important role in responding to those logistics demands. In the logistics service purchasing process, because the price discount provided by long-term procurement contract are affected by the purchase quantity, so for the shipping enterprise, how to balance the long-term procurement contract and spot market procurement to achieve minimum overall procurement cost on the basis of meet the logistics demand, is a problem needed to solve. Based on the viewpoint of the shipper, this paper set up a transport services hybrid procurement model which took the minimum transportation service procurement cost and maximum the overall satisfaction as the objectives considering the factors including carrier and shipper preference, carrier’s total discount, carrier’s capacity acceptance range. Then we designed a multi-objective particle swarm optimization (PSO) algorithm to solve the proposed model. In order to verify the effectiveness of the model and algorithm proposed in this paper, an example analysis is carried out, and the results show that the model established in this paper can significantly reduce the total procurement cost of transportation services and effectively improve the overall satisfaction level. Therefore, the research results of this paper have a certain theoretical significance on reducing the cost of transportation service procurement and promoting the stable cooperation between the carrier and shipper.