AI is fundamentally changing logistics processes - also for SMEs

At the start of a logistics process, AI analyses large volumes of data, allocates goods, identifies deviations and thus creates a reliable basis for the next steps. This early structuring then influences the entire system, from warehouse management to transport planning.

AI in intra-logistics

AI systems are increasingly replacing manual checks in logistics centres. They analyse images and text information, count parcels, detect damage and automatically assign goods to orders. Autonomous warehouse robots also optimise transport routes and shelf space. This makes internal processes more precise, faster and less error-prone.

Smart planning in extra logistics

Early data analysis also has an impact on the transport chain. Modern optimisation processes select suitable means of transport, plan routes and distribute orders in such a way that adherence to delivery dates, capacity utilisation and sustainability are taken into account. These systems react immediately to changes and generate solutions that are significantly more accurate and faster than manual planning.

New roles for logistics experts

The use of AI is also changing the tasks of logistics experts. Once AI systems have allocated goods, evaluated data and optimised processes, specialists take over the next steps. This includes checking the AI proposals, setting priorities, adjusting parameters and deciding on implementation during ongoing operations. They therefore control those process phases that build on the automated analyses and are central to a smooth overall process.

Read the article (in German) to find out how logistics is developing with AI and which steps make sense for SMEs.