The Danish maritime shipping industry is in the middle of a major digital transformation. In this talk, we present two case studies of AI techniques that play central roles in this development.

The first is a stowage optimization method for containerships that enable liner shipping companies like Maersk to stow more cargo on their vessels and steer sales toward profitable bookings. The second is a machine learning technique for predicting the destination of tanker vessels from AIS positioning data. It is used by TORM to forecast market development and move their fleet to locations with expected demand.