MRP is not a transport plan:
How to use AI to turn demands into efficient inbound transports

Abstract: MRP generates demands – but not yet transportable shipments. This is exactly where partial loads, special trips, and unnecessary complexity in dispatching arise. In this episode, we show you how to convert MRP demands into transport-optimized inbound shipments. 

And in such a way that consolidation, time slots, restrictions, and capacities are taken into account. You will learn which data really counts, how to neatly compare “plan vs. reality,” and how AI helps to identify recurring patterns and deviations early on, thus fully utilizing your transports through daily dynamic consolidation.

Your 3 key takeaways:

✅ You will understand why MRP structures systematically lead to partial loads – and what levers can be used to remedy this.
✅ You will learn a practical methodology for translating call-offs into consolidatable, plannable inbound shipments.
✅ You will see how AI identifies deviations, patterns, and plan breaks early on and prioritizes important requirements at an early stage.