Mastering the Automotive Logistics Network Strategically and Tactically

Multi-Plant Planning, Milkrun Formation, Consolidation with AI

Automotive networks aren’t “built”—they evolve: new plants, new suppliers, changing freight rates, cross-border regulations, new hubs, returns, and special runs. At some point, the complexity becomes so high that planning turns into Excel acrobatics—or into decisions based on gut feeling, because a robust model is missing.

This is exactly where this webinar comes in: You’ll receive a practical blueprint for setting up your inbound/outbound network strategically and tactically so that you can compare scenarios in a short amount of time:

• What happens if you change consolidation?
• Which milk runs are truly robust, even with fluctuating volumes?
• Which cost drivers have an impact in which scenarios?
• Where is a hub worthwhile—and where does it eat into your service and capacity?

And yes: AI isn’t just a buzzword here, but an accelerator. It helps you build scenarios faster, make cost drivers transparent, create meaningful milk runs across plants and suppliers, and set priorities based on data—so you can not only make decisions but also justify them clearly internally.

In the end, you’ll walk away with a clear approach for how to move network decisions from “gut feelings” to comparable, documented options.

Your 3 Key Takeaways

• Systematic Milkruns & Consolidation: You’ll see how AI creates milkruns across suppliers and plants, takes constraints into account (time windows, capacities, frequencies), and clearly maps consolidation logic.
• Making Networks Planable: You’ll understand how to structure a complex inbound/outbound network so that it becomes strategically and tactically controllable—including clear levers and model logic.
• Objectively comparing scenarios: You’ll learn how AI consistently builds and evaluates scenarios (freight rates, hubs, routes, frequencies) and visualizes the most important effects in an understandable way—as a basis for decision-making.