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Logistics & Supply ChainDubai, UAE

Logistics Company Cuts Customs Processing Time by 70% in 8 Weeks

Our client moved from spreadsheet-heavy customs prep to an AI-assisted clearance workflow. Their team now processes declarations faster, with tighter compliance checks and lower exception handling time.

The Challenge

Every shipment required manual extraction from invoices, packing lists, and certificates. During peak weeks, brokers were handling 300+ documents per day, causing SLA breaches and missed cut-off windows at ports.

The Solution

We deployed an OCR + validation pipeline connected to their customs prep queue. AI extracts line-item details, validates HS codes and origin metadata, and pushes structured records into broker review with exception flags.

The Shift (Before vs. After)

Customs prep time / shipment

Before

42 min

After

13 min

Manual data entry errors

Before

4.8%

After

0.5%

Shipments processed / broker / day

Before

31

After

47

Key Results

70% reduction in customs processing time
99.5% extraction accuracy after human review loop
Recovered 40+ staff hours/week from document handling
35% throughput increase with no additional headcount

Client Perspective

"We stopped firefighting. Our brokers now spend their time on judgment calls, not copy-pasting document fields."

A. RahmanOperations Director, Our Client

Company Profile

Client

Logistics Company

Location

Dubai, UAE

Industry

Logistics & Supply Chain

Business Type

Regional freight-forwarding operator serving GCC routes

Implementation Timeline

8 weeks from discovery to full rollout

Primary Impact

70% faster processing

Tech Stack Used

OpenAI (document reasoning)PostgreSQLSupabasen8nInternal broker dashboard

Rollout Plan

  • Week 1-2: Document taxonomy + compliance mapping
  • Week 3-5: Extraction model tuning + exception rules
  • Week 6-8: Broker cockpit launch + QA and team training

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