Körber’s Michael Becher to Explore AI-Driven Intralogistics at IntraLogisteX 2026

Why It Matters

The session highlights AI’s potential to transform warehouse operations, addressing critical labour gaps and boosting supply‑chain resilience. Its insights help logistics leaders adopt secure, predictive technologies that can lower costs and improve sustainability.

Key Takeaways

• AI tackles warehouse labour shortages and maintenance issues.
• Digital twins enable predictive, adaptive intralogistics operations.
• Agentic AI supports secure, scalable warehouse automation.
• Körber showcases global AI-driven digital products at event.
• IntraLogisteX expects 11,000+ attendees, highlighting industry focus.

Pulse Analysis

Artificial intelligence is rapidly becoming a cornerstone of modern intralogistics, driven by acute labour shortages and the need for higher operational efficiency. Digital twins—virtual replicas of physical warehouse assets—allow operators to simulate scenarios, predict equipment failures, and fine‑tune processes before they occur. By integrating these models with real‑time data, AI can shift warehouses from reactive to predictive modes, reducing downtime and improving throughput while supporting sustainability goals through optimized resource use.

Körber Supply Chain’s digital strategy, led by Michael Becher, exemplifies how large‑scale AI deployment can be both secure and scalable. The company’s agentic AI platforms act autonomously to adjust workflows, allocate labor, and trigger maintenance actions without human intervention, all while adhering to strict cybersecurity standards. Predictive maintenance modules analyze sensor streams to forecast component wear, extending asset life and cutting costly emergency repairs. This blend of autonomous decision‑making and robust security positions Körber as a benchmark for AI‑enabled warehouse automation.

IntraLogisteX 2026 provides a strategic forum for the logistics community to assess these emerging technologies. With more than 11,000 professionals attending, the conference underscores the sector’s appetite for AI solutions that enhance resilience and reduce carbon footprints. Sessions on sustainable AI, digital twins, and supply‑chain resilience signal a broader industry shift toward data‑driven, environmentally conscious operations. Companies that adopt these tools early are likely to gain competitive advantage through lower operating costs, improved service levels, and stronger compliance with emerging ESG expectations.