Date and Time
09/06/2026, 12:00 - 17:30
Agentic AI in Supply Chains
Supply chains hold a large analytical potential, but most organizations struggle to use their data and tools effectively.
Agentic AI offers a practical way forward—not by replacing existing systems, but by acting as an intelligent interface between people, data, and decision models.
AI agents simplify how teams interact with optimization tools and analytics. They translate business questions into the right model runs or data queries, reduce the need for specialized expertise, and ensure decisions follow defined priorities.
LLMs as operational interpreters
They translate objectives and questions into the specific inputs, queries, or model runs needed, reducing the friction of working with complex tools.
Human-AI alignment
People define priorities and constraints, while agents handle the detailed steps, ensuring decisions are executed consistently and with greater speed.
For companies, this means:
• Unlocking existing value: Making current planning and analytics tools far easier to use.
• Faster decisions: Turning questions into scenarios or model outputs in minutes instead of days.
• Setting priorities: Managers set priorities; agents handle consistent execution.
• Scalable efficiency: Automating repetitive analytical steps so teams can focus on strategy.
In short, Agentic AI helps organizations use the systems they already have more effectively—creating a more responsive and efficient supply chain without major IT changes.
Aspects during this Experience Workshop Business meets Business interaction.
On 2 June there was a Masterclass about AI with a deep dive in the theoretical foundations.
Registration
Please register for the workshop by using the button below. You can comment on any dietary restrictions, or other important information.Bookings are closed for this event.
