How Global Logistics Saved
85,000 Operations Hours.
A Fortune 500 freight forwarder was losing millions in manual data entry toil and customs delay penalties. We designed and deployed an interconnected LangGraph multi-agent mesh that fully automated their supply chain intake.
120+ full-time clerks manually typing shipping manifests.
Every international shipment required 40 minutes of manual inspection across varying bill-of-lading formats, customs forms, and port declarations. Minor human typos caused average customs clearance delays of 3 days.
Autonomous LangGraph swarms with human-in-the-loop gates.
We engineered a multi-agent pipeline where specialized OCR worker agents parse unstructured files, validation agents cross-check container manifests against SAP ERP tables, and exceptions route directly to staff Slack channels.
Production system breakdown.
Intake & Layout OCR Swarm
PaddleOCR, LayoutLMv3, FastAPIPaddleOCR and vision transformer models parsing multi-lingual PDFs, customs clearance manifests, and bill-of-lading invoices.
Supervisor Reasoning Agent
LangGraph, PostgreSQL CheckpointersLangGraph-powered stateful supervisor that evaluates completeness, cross-references container IDs, and routes edge cases to human specialists.
SAP ERP & Customs Sync API
SAP OData, Apache Kafka, RedisDirect REST and OData RPC connectors updating core shipping ledgers and dispatching automated trucker appointments.
Continuous Evaluation & Audit Trail
Langfuse, OpenTelemetry, AWS KMSEvery agent reasoning step and tool call is captured in Langfuse with immutable cryptographic hash signatures for customs compliance.
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