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AI AutomationYear 2025 • Client: Global Logistics Network

Vanguard Enterprise AI Ingestion Platform

Automated OCR & RAG Extraction for Millions of International Freight Bills

A custom AI document processing engine transforming unstructured international shipping invoices into validated ERP records in under 3 seconds per page.

< 2.8sProcessing SpeedAverage extraction time per multi-page document
99.4%Accuracy RateZero-error automated parsing with human-in-the-loop review
-72%Operational CostReduction in manual entry labor overhead
CASE ANALYSIS

The Problem and Our Engineering Approach.

Technologies Deployed
PythonFastAPIOpenAI APIPineconeNext.jsTypeScriptPostgreSQLDockerAWS S3

The Commercial & Technical Challenge

The client was processing over 45,000 multi-language customs bills, freight receipts, and lading documents weekly through manual data entry.

The Raxon Solutions

Raxon Solutions engineered a distributed document processing pipeline utilizing custom layout-aware vision models, hybrid vector embeddings, and validation agents.

SYSTEM HIGHLIGHTS

Core Architectural Inventions in this Deployment

01Custom OCR chunking pipeline supporting 14 languages and handwritten annotations
02pgvector similarity cache preventing duplicate model inference calls
03Strict PII redacting middleware before cloud API transmission
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