Logistics services consist of a complex network of processes where exception management is becoming increasingly critical. During the process of exception management, prioritisation of exceptions is necessary for the efficient use of resources resulting in successful logistics services. Previous efforts in logistics exception management systems have focused primarily on exception handling. Exception prioritisation does not have the necessary emphasis in current exception management systems and requires proper assessment of the priorities. This study presents an approach to logistics exception prioritisation by developing logistics service priority using ontological views together with the “Cynefin” model. The proposed approach provides better logistics exception prioritisation resulting in efficient use of organisational and logistics service resources and thereby achieving better logistics services.