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Case Study International Freight Forwarder

Proactive Risk Detection with Real-Time Shipping & News Intelligence

Combines multi-carrier shipment tracking with real-time news intelligence and AI voice agents for proactive risk detection and faster operational response.

< 15 min Risk detection to alert time

The Challenge

What They Were Dealing With

Operations teams relied on manual check-calls to ports and terminals, reactive disruption management, and fragmented carrier tracking portals. By the time a delay or disruption was identified, the impact had already cascaded through downstream operations.

What We Built

The System

1

AI voice agents — auto-call ports and terminals for real-time status updates, eliminating manual check-call cycles

2

Multi-carrier shipment tracking — unified tracking across ocean, air, and road carriers via API integrations

3

Real-time news intelligence — monitors shipping news, port updates, and geopolitical events for route-relevant risks

4

Route-based risk correlation — maps active shipments against live disruption data to flag at-risk cargo proactively

5

Unified risk dashboard — single view of all active shipments with risk scoring and recommended actions

Results

Measurable Impact

< 15 min

Risk detection to alert time

Disruptions detected and matched to affected shipments within 15 minutes of event occurrence

60%

Reduction in manual monitoring workload

Automated tracking and check-calls replace manual carrier portal monitoring and phone calls

40%

Fewer disruption-related delays

Proactive detection enables intervention before impact cascades to downstream operations

Tech Stack: PythonAzureOpenAICarrier APIsVoice AINews APIs

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