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Logistics Deployment
Shipment Exception Handling System
Automating the detection and triage of logistics exceptions across global carrier feeds.
Pilot Duration
6 weeks
Measurement Window
12 weeks
Status
Production — ongoing
Methodology
Audit-Ready
Client Context
Third-party logistics coordinator. Operations team of 14. 2200 shipments weekly.
Operational Problem
- —Manual monitoring of shipment exceptions was slow and error-prone.
Operational Workflow
Before Deployment
- — Manual intake
- — Spreadsheet tracking
- — Delayed operational response
- — Fragmented visibility
After Deployment
- ✓ Structured intake engine
- ✓ Automated prioritisation
- ✓ System-driven routing
- ✓ Operational visibility dashboard
Deployment Timeline
Pilot
Initial deployment on scoped process.
Measurement
Tracking against baseline.
Scale
Full production rollout.
Operational Impact
Detection time
90% faster
6–9 hours
under 45 min
Manual monitoring
83% reduction
18 hrs/week
3 hrs/week
Metrics measured during the first full quarter post-deployment against a four-week pre-deployment baseline.
Scope Limitations
One courier partner added after pilot.
Business Impact
Reduction in customer-reported shipment delays.
What Stayed Human
- Strategic Decisioning
- Complex Exceptions
- Stakeholder Comms
What We Learned
Standard pilot outcomes met projections; recalibration of rule-based logic occurred in Week 4.
Related Deployments
If your team is managing a similar operational problem, we scope a pilot in 2–3 weeks.
The pilot is production-safe and measured against your operational baseline.