01
Ask what a change would do, in plain words
Your operation is already on screen. Point at the site under pressure and type the move you are weighing up. The simulation starts from there.
02
It gathers what it needs to simulate
It pulls the moves open to you and the plan you already committed to, so the prediction runs on your operation rather than an industry average.
03
It checks the move is even possible
How busy the line already is, how much of the plan is actually being made, and whether anything on the ground would stop this move working at all.
04
Every prediction quantified
What the move does to your service level, how likely it is to help at all, what it costs and what it earns back, over a period you set.
05
It predicts the knock-on, day by day
Where the site you are protecting ends up against plan, what the move does to everyone downstream of it, and where you land at the end.
06
The cost of indecision
The same move simulated against no action at all: the day it pays for itself, what it earns, what it costs and what you keep.
Ergodic platform demo: a working model of a manufacturing and distribution business. An analyst types a change in plain language, adding overtime at a plant that is struggling, against the live picture of the operation. The model finds what it needs on its own, the options available and the plan already committed to, checks how busy the line is and how much of that plan is being made, then plays the change forward: what it does to service, how likely it is to help, what it costs and earns back, what happens to every site downstream, and the return against doing nothing, including the day it pays for itself.