AI: Logistics Processes and Automation

Course overview

The training provides practical knowledge on the application of Artificial Intelligence in logistics structures. The focus is on analyzing material and information flows, developing data-driven decision-making bases, and integrating automated solutions into existing logistics systems. The goal is to make process flows more transparent, identify efficiency potentials, and systematically implement AI-supported optimizations. Module 1: Fundamentals of AI in Logistics Module 2: Automation of Core Logistics Processes Module 3: Data Analysis, Monitoring, and Optimization Module 1: Fundamentals of AI in Logistics !Understanding Systems and Areas of Application *Classification of AI systems and data-driven models *Analysis of material flow and information control processes *Typical application fields in warehousing, transport, and planning *Assessment of technical and organizational prerequisites Module 2: Automation of Core Logistics Processes !Data-driven Control of Operational Processes *Forecast-based inventory management *Optimization of route and tour planning *Automated planning decisions *Integration of AI solutions into existing IT structures Module 3: Data Analysis, Monitoring, and Optimization !Continuous Improvement of Logistics Processes *Interpretation of logistics performance indicators *Monitoring of lead times and service levels *Assessment of the quality of AI-supported results *Adjustment and further development of automated solutions Upon completion, participants will be able to classify and purposefully apply AI applications in logistics processes. They will systematically analyze data, automate operational processes, and integrate AI-supported solutions into existing logistics structures.

Upcoming dates

• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · München · Hybrid Learning
• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · Aachen · Hybrid Learning
• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · Berlin · Hybrid Learning
• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · Berlin · Hybrid Learning
• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · Berlin · Hybrid Learning