Online shopping behaviors lead to a large number of goods need to be transported in the real world. Researches on logistics have attracted extensive attentions. One of popular topics is logistic route planning. Although various previous studies have discussed some classical routing problems, real logistic constraints are not considered such as the vehicle capacity, various logistic requirements, etc. Thus, these solutions may not be directly applied to the logistic route planning. In this paper, we propose a novel solution based on Ant Colony Optimization (ACO) to find high quality logistic routes not only meeting real logistic constraints but also taking pick-up and delivery requirements into account. To the best of our knowledge, this is the first work using ACO to plan the logistic routs that considers various logistic requirements, simultaneously. Through extensive experimental evaluations by a semi-real logistic dataset, the proposed ACO-based solution was shown to deliver excellent performance.