Using AI for logistics optimisation
Duvenbeck is providing Claas, an agricultural machine manufacturer, and Schmitz Cargobull, a trailer producer, with data from its transport management system to support a research project on AI in the logistics industry. The input mostly concerns inbound logistics, supply chains and internal transport operations.
Having analysed Duvenbeck’s data, the partners can now improve predictions about consignment volumes, load factors on board vehicles and storage areas as well as the need for personnel. This will reduce costs and increase supply chain efficiency.
Nils Gerdemann, managing director for road transport and freight forwarding at Duvenbeck: “We compare our existing data with the predictions generated by AI and can then adapt our processes to the expected volume of goods more accurately.” (mk)