AI: Logistics Processes and Automation

Course overview

AI: Logistics Processes and Automation 1. Introduction to AI-based logistics processes and automation: Fundamentals of logistics and automation, Importance of AI in logistics, Overview of current trends 2. Automation of warehousing and transport processes: Identification of automatable logistics processes, Use of automation technologies in warehousing, Optimization of transport operations through automation 3. Use of AI for forecasting and planning in logistics: Utilization of AI algorithms for demand management, Planning of resources and inventories with AI, Case studies on successful implementation 4. Integration of AI into existing logistics systems: Linking AI with Warehouse Management Systems, Data integration and maintenance, Ensuring interoperability 5. Monitoring and analysis in automated logistics processes: Monitoring tools for overseeing logistics operations, Data analysis for process optimization, Key performance indicators for measuring success 6. Future of AI in logistics automation: Trends and developments in AI logistics, Impact of autonomous vehicles and drones, Preparing for future challenges 7. Practical project in AI logistics automation: Development of a personal automation project in the logistics sector, Presentation and discussion of results, Reflection on implementation and outcomes

Upcoming dates

• 2026-07-26T22:00:00.000Z · 2027-02-03T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-07-26T22:00:00.000Z · 2027-02-03T23:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2027-08-01T22:00:00.000Z · München · Combined Learning
• 2026-08-04T22:00:00.000Z · 2027-08-01T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-08-09T22:00:00.000Z · 2027-08-08T22:00:00.000Z · München · Combined Learning