Across 4,541 export port-calls with sufficient snapshot coverage, we examined:
Ports in scope include USCHS, USEWR, USHOU, USLAX, USLGB, with East vs West Coast comparisons where applicable.
On the East Coast:
On the West Coast (for comparison):
Freeze policies materially reduce early volatility - but do not eliminate execution risk.
ERDs are much more stable on the East Coast than elsewhere - but 1 in 8 still move after teams think they’re locked.
You’re safer than before.
You’re not safe enough to relax.
Across 1,315 late-stage ERD change events:
So while many late changes are small, the tail is long and operationally brutal.
Most late changes are annoying.
Enough are catastrophic that exporters have to plan as if they will happen.
You can survive a one-day slip.
A four-day slip means everything you staged now costs money.
An eleven-day slip means explaining misses you didn’t cause.
This is the most important update - and the pattern is clear.
Even when ERDs hold, CY cutoffs often don’t.
Charleston looks “reliable” by ERD metrics - and mostly is - but late-stage CY compression still shows up.
Freeze policies don’t remove uncertainty.
They push it downstream.
You stop worrying about when you can start.
You start worrying about how fast you have to finish.
Using stability thresholds (≥80% = “high”):
This is not random noise.
It is system behavior under constraint.
When one layer becomes rigid, another layer absorbs the shock.
Everything looks fine - until suddenly it’s all urgent.
Policy delta
Note: Stable window percentages vary by scope. Earlier figures reference East Coast ports only; the table below reflects the full multi-port comparison set.
|
Metric |
East Coast |
West Coast |
|
Late ERD changes |
12.4% |
31.9% |
|
Mean ERD drift |
2.45 days |
38.6 days* |
|
Late CY changes |
21.0% |
13.0% |
|
Stable windows |
55.6% |
80.1% |
* West Coast drift inflated by extreme tail events - this is why distribution matters more than averages.
Policy improves one metric.
The experience is shaped by the weakest remaining link.
The dashboard says “better.”
Your week still breaks.
Late-stage changes aren’t just changes.
They are decision traps.
Reliability is not:
Reliability is:
Can exporters commit resources without being punished for trusting the system?
The data says: sometimes - not consistently.
Exporters don’t fail schedules.
Schedules fail exporters - late, quietly, and expensively - even when everyone follows the rules.
You did everything right.
The system moved after you committed.
That’s what the cargo receiving window lens reveals - and once you see it, the pattern is hard to unsee.