A supply chain that decides before it reacts.
Forecasts get better when planning is one process, not five. We rebuild S&OP, S&OE and execution around a single demand signal and use AI where exceptions actually live.
Typical process pain on this terrain
- 01
S&OP is a meeting, not a process
The numbers change between Friday and Monday because the process does.
- 02
Forecast accuracy plateaus
Better models won't fix a fragmented planning chain.
- 03
Working capital is locked in safety stock
Buffers exist because the process doesn't trust itself.
- 04
Exceptions consume the planners' week
The 5% of orders that go wrong eat 80% of capacity.
What good looks like, measured.
+9pp
Forecast accuracy
Days→hrs
Recall response
−38%
Cycle time
OTIF↑
Service level
Three places to start
How we usually engage with supply chain leaders pick the entry point that matches your decision.
Process transformation
End-to-end redesign of the operating spine process, governance, systems and people.
ReadServiceProcess sprint
Four to six weeks. One process. A quantified diagnostic and a redesign your team can act on.
ReadServiceAI-native process
Design the process around what AI now does well and what humans still need to decide.
ReadSelected references
Thinking that informs this work
Tell us the plan that never quite arrives.
We rebuild the chain that produces it, not just the meeting that signs it off.