Operational handling in global logistics is often complex, high-volume, and time-sensitive. Hapag-Lloyd is exploring agentic orchestration with Camunda to support partly autonomous resolution steps. This session shows how AI-driven decisioning—guided by BPMN and DMN guardrails—can reduce processing time, increase accuracy, and improve customer satisfaction. Attendees will learn how agentic automation can streamline end-to-end handling across teams and systems in a global logistics environment.
Hapag-Lloyd manages complex, multi-party shipping processes where exceptions are inevitable, from booking through collections. Using Camunda, the team built a case-centric exception management approach that detects issues early, routes them to the right teams, and automates resolution steps across departments and regions. This session shows how scalable BPMN- and DMN-driven models improve response times, increase process resilience, and streamline operations even when cargo moves outside the happy path.