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AI-Powered OCR System for Automated Document Processing in Transportation Industry

lightpointglobal.com

Automotive

Logistics

Financial Services

Insurance

Manual Document Processing Challenges

The client faces inefficiencies in manually processing 50+ document types (invoices, licenses, contracts, receipts) from physical/scanned sources. This manual data entry causes delays, errors, and escalating operational costs while managing exponential document growth.

About the Client

A South African company providing minibus taxi solutions, including vehicle sales, insurance, financing, and driver loyalty programs for 36,000+ taxis serving 15 million commuters daily.

Automation and Efficiency Goals

Automate data extraction from printed/scanned documents using AI-powered OCR
Reduce manual data entry time by 70%+ across departments
Implement centralized document management with cross-department access
Optimize operational costs through intelligent document caching/hashing

Core System Capabilities

AI-powered recognition for 50+ document types (invoices, licenses, contracts)
User-selectable field recognition with dynamic algorithm configuration
Human verification workflow with approval/correction capabilities
Duplicate document detection to prevent redundant processing
Centralized UI for document upload, tracking, and team collaboration

Technology Stack Requirements

Google Cloud Vision API

Angular Material Design

.NET 6 with Entity Framework

Docker containerization

Azure Cloud Services (AKS, SQL Database)

System Integration Needs

Existing document management databases
Employee identity management systems
Financial calculation engines
Cross-department collaboration tools

Operational Requirements

Horizontal scalability for exponential document growth
99.9% system availability with load balancing
Data encryption for sensitive document storage
Response time under 2 seconds for 95% of API calls

Expected Business Impact

Projected 60% reduction in document processing costs, 85% faster data retrieval, and 95%+ accuracy improvement in extracted data. Enables strategic workforce reallocation while supporting 200% annual document volume growth through optimized cloud resource utilization.