Risk across the open book
Score every open order against its promised date rather than reporting on the ones that have already slipped.
Order intelligence / Priority launch concept
Order Delivery Control Tower
See which customer orders are at risk, why they are at risk and what intervention could protect the promise.
The problem
Objective: Protect customer commitments.
A promised delivery date is the single commitment a customer actually measures you on. Everything that threatens it happens somewhere else: a supplier confirmation that slipped, a work centre that lost a shift, an inspection that has not cleared, a pallet that is not built.
Each of those signals lives in a different system, and each is owned by a different person. By the time they meet, usually in a late order report on a Monday, the window to do anything useful has closed.
What it does
Four things it has to get right.
The chain, not the symptom
Trace a threatened date back through production, material and quality dependencies to the condition that actually caused it.
Time remaining to act
Show how long is left before an intervention stops being possible, so attention goes where it still changes something.
Options with consequences
Compare the realistic recovery moves and what each one costs elsewhere, then record which was approved and what happened.
Operational signals
What it reads.
Read-only, from the systems you already run. Nothing is replaced and nothing is written back without an approval.
- Material availability
- Production dependencies
- Quality release
- Dispatch readiness
Component delivery slipped by two days
Sub-assembly start date no longer achievable
Quality release window compressed
Recovery options prepared for the decision owner
An illustration of the kind of chain the system is designed to surface, not output from a live customer system.
The decision
Who acts on it.
Customer service, planning and operations leadership
Decide which at-risk orders warrant intervention this week, choose between expediting, resequencing or re-promising, and tell the customer before they have to ask.
Illustrative scenario
A delayed component threatens Friday delivery. Surface the evidence, compare recovery options and assign the approved intervention.
Connected solutions
It does not work alone.
The same operational context powers every solution, so a signal picked up here shows its consequences everywhere else.
Is this the one costing you most?
We start with one measurable operational problem, your existing systems and a decision owner who can act. Tell us where it hurts and we will scope it honestly.