Shipment Tracking, Exception Handling & Client Updates — Fully Automated
A mid-size freight forwarder handles 500+ active shipments across 8 carriers. The operations team spends most of their day checking tracking portals, calling carriers about delays, rebooking routes, and manually updating clients. This AI system handles all of it — around the clock.
~15 hrs
Saved per week
92%
Exceptions auto-resolved
4
Carriers integrated
<5 min
Client notification
The Automation Architecture
How the AI Agent Handles Every Shipment
This workflow is for demonstration purposes only. We custom-build automation architectures tailored to each client's specific requirements, tools, and processes.
What Happens at Each Stage
Multi-Carrier Ingest
AutomatedAgent connects to carrier APIs (DHL, FedEx, Maersk, local carriers) and pulls real-time tracking data every 15 minutes. All shipment statuses normalised into a unified format.
Exception Detection
AI AgentAgent compares actual status against expected milestones. Detects: delays, customs holds, missed connections, damage reports, and route deviations.
Exception Classification
Decision GateAgent categorises each exception by severity (minor delay vs. critical failure) and likely cause. Minor delays get auto-handled. Critical issues escalate.
Auto-Rebooking
ActionFor non-critical exceptions (missed connection, minor delay), the agent queries alternative routes, compares cost and timeline, and rebooks automatically if within pre-set parameters.
Client Notification
ActionWithin 5 minutes of any status change, the agent sends a personalised update to the client — email, SMS, or portal notification based on their preference. Includes new ETA and any action required.
Escalation & Human Handoff
Human-in-the-LoopCritical exceptions (damaged goods, customs seizure, major delays affecting SLAs) are immediately escalated to the operations manager with a full context briefing: shipment history, exception details, recommended actions.
Weekly Digest Generation
AutomatedEvery Monday, the agent compiles a performance report: on-time rates, exception frequency by carrier, average resolution time, cost impact. Emailed to operations leadership.
Carrier Scoring
AI AgentOver time, the agent builds a reliability score per carrier per route. This data informs future booking decisions — automatically preferring carriers with higher on-time rates.
Before vs. After Automation
Without AI Automation
Shipment status checks
Manual, 3x daily per shipment
Exception detection
Reactive (client complains)
Client notification time
2–6 hours
Route rebooking
Manual calls, 30–45 min each
Weekly reporting
3 hours of spreadsheet work
After-hours coverage
None
Cost per exception
~SGD 180
With AI Automation
Shipment status checks
Every 15 minutes, automated
Exception detection
Real-time, proactive
Client notification time
Under 5 minutes
Route rebooking
Automatic, under 2 minutes
Weekly reporting
Auto-generated, zero effort
After-hours coverage
24/7
Cost per exception
~SGD 25
How We'd Build This
Technology Stack
Want this for your logistics business?
We build custom AI automation tailored to your carriers, routes, and clients. Let us show you what's possible.
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