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Case Study

1,200 Shipments, Every Client Updated Automatically

How an orchestration system automated 94% of shipment status queries, cut customs errors from 6% to 0.9%, and saved €298K annually for a 58-person freight forwarder.

94%
Queries Automated
2 min
Avg Response
1,200+
Monthly Shipments
€298K/yr
Cost Savings

The Challenge

HansaLogistik handled 1,200+ shipments monthly across sea, air, and road freight. Their operations team of 28 spent the majority of their day answering 'Where's my container?' emails, manually generating customs documents, and comparing carrier rates — work that was repetitive, time-sensitive, and error-prone.

'Where's My Container?' Overload

420+ status inquiries per month, each requiring 45 min research across 3 tracking systems plus follow-up calls — consuming 2.5 FTE capacity.

Customs Documentation Bottleneck

340 declarations/month in ATLAS with 6% error rate causing 2.3-day average delays per error.

Rate Comparison Gridlock

Checking 6-8 carriers manually took 2-3 hours per quote, eroding margins by 12%.

Exception Blindness

Delayed shipments discovered only when clients complained — no proactive monitoring.

The Solution

AI logistics orchestration integrating CargoWise, carrier APIs, and customs systems for instant shipment visibility, automated documentation, and proactive exception alerts.

Shipment Intelligence Agent

Real-time tracking across all carriers; identifies shipments by reference, PO, or natural language and responds in under 2 minutes.

Customs Documentation Agent

Auto-generates declarations from commercial invoices and packing lists with 99.1% accuracy.

Rate Optimizer Agent

Queries 8 carriers simultaneously, factors transit time and reliability, delivers ranked comparison in 4 minutes.

Exception Monitor Agent

Continuously monitors 1,200+ shipments for delays, sends proactive alerts to ops team AND clients before they ask.

System Overview

Global shipment tracking across 1,200 monthly shipments with automated status responses, customs documentation, and exception monitoring.

AI Logistics System Overview

Implementation Timeline

Phase 1

Systems Integration

Weeks 1-2

Integrated CargoWise, carrier tracking APIs, and ATLAS customs systems.

Phase 2

Agent Development

Weeks 3-5

Built shipment intelligence, customs documentation, rate optimizer, and exception monitor agents.

Phase 3

Customs & Rate Engine

Weeks 6-7

Developed automated customs declaration engine and multi-carrier rate comparison system.

Phase 4

Rollout & Monitoring

Week 8

Deployed to all operations staff, activated proactive client alerts, calibrated exception thresholds.

The Results

  • 94% of status inquiries handled automatically — response time from 45 minutes to 2 minutes, freeing 2.5 FTE capacity.
  • Customs error rate dropped from 6% to 0.9% — eliminating an average 2.3-day delay per error.
  • €298,000 annual savings — 2.5 FTE freed (€145K), delay costs eliminated (€98K), margin improvement from rate optimization (€55K).
  • Rate optimization improved average margins by 8.3% across 8 carrier providers.
  • Client complaints reduced by 73% through proactive exception alerts before clients need to ask.

Time Savings

Hours per month — before and after AI orchestration deployment across all freight forwarding operations.

Logistics Time Savings Before vs After

"'Where's my container?' used to mean 45 minutes of digging through three systems. Now the AI answers in 2 minutes — often before the client asks. We handle 30% more shipments with the same team."

Kai-Uwe Hansen Geschäftsführer, HansaLogistik GmbH & Co. KG

Technologies Used

n8n GPT-4o Claude API CargoWise API ATLAS Customs WhatsApp Business API PostgreSQL pgvector

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