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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

SHIPMENT SOURCESAGENT PROCESSINGOUTPUTSCarrier ACarrier BCarrier CClient PortalIngestAIAgentCheck StatusException?NOUpdate TrackerNotify ClientYESClassifyCritical?YESAlert OpsManagerNOAuto-RebookConfirmRouteEmail UpdateSMS AlertPortal DashboardWeekly Digest

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

1

Multi-Carrier Ingest

Automated

Agent 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.

2

Exception Detection

AI Agent

Agent compares actual status against expected milestones. Detects: delays, customs holds, missed connections, damage reports, and route deviations.

3

Exception Classification

Decision Gate

Agent categorises each exception by severity (minor delay vs. critical failure) and likely cause. Minor delays get auto-handled. Critical issues escalate.

4

Auto-Rebooking

Action

For non-critical exceptions (missed connection, minor delay), the agent queries alternative routes, compares cost and timeline, and rebooks automatically if within pre-set parameters.

5

Client Notification

Action

Within 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.

6

Escalation & Human Handoff

Human-in-the-Loop

Critical 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.

7

Weekly Digest Generation

Automated

Every Monday, the agent compiles a performance report: on-time rates, exception frequency by carrier, average resolution time, cost impact. Emailed to operations leadership.

8

Carrier Scoring

AI Agent

Over 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

Claude (Anthropic)Make.comCarrier APIs (DHL, FedEx, Maersk)PostgreSQLTwilio (SMS)Custom DashboardMCP Servers

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