AI application areas in logistics: Solution to the shortage of skilled workers?

Transport and logistics offer many applications for AI

It's not just the volumes that are increasing with fewer and fewer personnel. The requirements for transparency and safety are also increasing. AI can already support people with simple, recurring tasks, but also with complex decisions.AI helps people with recording, analysing, sorting and planning. It can recognise, lift, navigate and much more. More and more logistics applications, from warehouses to fleets, are becoming autonomous. This frees up urgently needed skilled labour in logistics.

• Order entry: AI is already using large language models and deep learning algorithms to create structured data records and supplement missing information.
• Route planning: Systems are becoming digital platforms on which AI algorithms support processes with many parameters and handle transports in a highly automated manner. Flow of goods: AI controls driverless transport systems (AGVs), autonomous mobile robots (AMRs), automated warehouse systems and much more.
• Order picking: AI helps with the lifting, sorting and packing of goods in numerous applications, from assistance systems for industrial trucks to gripper robots.
• Predictive maintenance: recognising anomalies at an early stage and avoiding unplanned downtime—from the smallest industrial truck to the entire logistics system.