Digital logistics (DigitLog) | Background

Digital logistics (DigitLog) refers to the use of digital technologies and data analysis tools to improve efficiency and transparency in the supply chain. The goal of digital logistics is to optimize logistics processes by collecting and analyzing data in real time. The focus of this working group will be on digital production logistics and AI in logistics.

Digitalization is considered the success factor for production logistics and holds enormous potential. For example, digital twins in logistics centers can be used to intelligently combine items on incoming goods pallets, which makes it much easier to store products in stores. Driverless transport systems for internal transport, digital platforms for capacity planning/deployment or track & trace can also optimize warehouse logistics and improve competitiveness.

AI (artificial intelligence) brings together a number of areas of computer science and mathematics with the aim of solving complex tasks. Artificial intelligence now offers a wide range of possible applications and opens up numerous new opportunities for logistics companies. Despite this, it is still far from having arrived in the industry. Logistics, with its widely ramified networks, is an ideal field of application for artificial intelligence. The intelligent evaluation of data allows future production and transport volumes to be forecast, for example.