01Regional logistics network / confidential
Fulfillment systems for a regional logistics team
This work started with a noisy fulfillment process, too many manual decisions, and a team spending time firefighting instead of operating. I rebuilt the system around cleaner states, fewer handoffs, and more visible exceptions.
Proof flow
Fulfillment operating flow
Input to outcome
Input
Order intake
Orders entered from multiple sources with inconsistent state naming and missing context.
Checks
State normalization
Mapped inventory, order, and dispatch states into one source-of-truth operating model.
Routing
Exception review
Reserved operator judgment for real mismatches while standard paths routed automatically.
Outcome
Reliable fulfillment
Fewer handoffs, visible exceptions, and cleaner carrier routing under higher volume.
Human controlOperators still reviewed true exceptions before they cascaded into shipping failures.
The problem
What had to change.
A fast-growing logistics team had outgrown its spreadsheet-heavy workflow. Core operating decisions depended on tribal knowledge, which increased errors and slowed the team down as volume grew.
Intervention
What changed in the operating model.
Intervention 01
Defined a clearer source-of-truth model for order state, inventory state, and dispatch logic.
Intervention 02
Reduced human judgment on repeatable paths and reserved manual intervention for true exceptions.
Intervention 03
Made anomalies visible early so the team could fix issues before they cascaded downstream.
System
What now exists.
Outcome
What improved.
Error rate
12% to <1%
Capacity
+340%
Time saved
40 hrs/week
- Cut fulfillment error rates from 12% to under 1%.
- Increased weekly volume capacity by 340% without adding headcount.
- Returned roughly 40 manual hours per week to the core ops team.
Next step