This paper describes LS/ATN, Living Systems R Adaptive Transportation Networks, an agent-based solution we have developed to solve transportation problems in the charter business logistics. LS/ATN provides automatic optimization and execution capabilities that extend the existing planning systems accordingly. To describe our solution and analyse its performance, we report on a real case scenario in which transportation requests of a big logistics provider were optimized. Besides describing the agent approach and the LS/ATN features we stress the necessity to integrate such agent system into a real-world IT architecture. Finally, we show that our adaptive solution produces significantly better results in real case scenarios than what achieved with manual optimization of professional dispatchers. Categories and Subject Descriptors I.2.11 [Distributed Artificial Intelligence]: [Intelligent Agents]; H.4.2 [Information Systems Applications]: [Logistics] General Terms Algorithms, Economic...