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AI-Powered OCR and Document Management System for Logistics Invoices

alltegrio.com

Logistics

Transportation

eCommerce

Current Challenges in Invoice Processing

Manual document processing consumes excessive accounting hours, creates operational delays, and introduces human errors in invoice data entry. Legacy systems lack scalability to handle diverse invoice formats and fail to validate document authenticity efficiently.

About the Client

International logistics and supply chain management company handling high-volume invoice processing across multiple regions

Key Project Goals

Automate extraction of critical invoice data points (number, date, amounts)
Implement AI-driven document classification for varied invoice templates
Develop error detection and correction mechanisms for data validation
Create computer vision capabilities for seal/authentication verification
Achieve 70%+ reduction in manual processing hours

Core System Capabilities

Multi-format invoice recognition with template adaptation
Automated field extraction using OCR (Tesseract/Google Vision)
Document type classification (invoices, CMRs, etc.)
Seal detection and validation through computer vision
Anomaly detection for inconsistent/missing data
Automated document registration workflow
Responsive UI for document management and exception handling

Technology Stack Requirements

Python

PyTorch

OpenCV

CatBoost

scikit-learn

System Integration Needs

ERP systems (SAP/Oracle)
Cloud storage (AWS S3)
Existing accounting software

Operational Requirements

Horizontal scalability for 300k+ documents/year
99.9% uptime SLA
HIPAA/GDPR compliance for document handling
Processing latency <3 seconds per document
Template adaptation with <2 hours retraining time

Expected Business Outcomes

Projected 4x faster document processing speed, 15,000+ annual man-hour savings, and 50% reduction in paperwork processing time. Expected error rate reduction from manual entry (12%) to automated validation (<2%). Scalable solution to handle 20% annual document volume growth without infrastructure changes.