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A logistics company managing 3,000+ shipments daily was drowning in manual paperwork. Bills of lading, customs declarations, delivery confirmations, and invoice reconciliation consumed over 60% of their operations team's time. Error rates in manual data entry were causing costly delays, compliance issues, and customer disputes. Zarin Solutions Inc. was tasked with designing an intelligent automation solution.
Our process analysts spent two weeks embedded with the operations team, documenting every workflow, decision point, and exception handling procedure. We identified 14 distinct document types processed daily, with the majority following predictable patterns that were prime candidates for intelligent automation.
The analysis revealed that 80% of processing time was spent on data extraction, validation, and cross-referencing activities that followed consistent rules. However, 20% of documents contained exceptions requiring human judgment, making a fully autonomous system impractical.
We deployed an AI-powered document processing pipeline combining OCR technology with custom-trained machine learning models for data extraction. The system could identify document types, extract relevant fields, validate data against business rules, and route exceptions to human operators with pre-filled correction suggestions.
Integration with the client's TMS, ERP, and accounting systems enabled end-to-end automation from document receipt to final ledger entry. A real-time dashboard provided operations managers with visibility into processing status, error rates, and team productivity metrics.
The automation platform was built iteratively, starting with the three highest-volume document types and expanding as each model achieved 99%+ accuracy. Human-in-the-loop validation ensured quality during the learning phase.
Mapped all document workflows, decision trees, and exception handling procedures with the operations team.
Trained OCR and extraction models on thousands of real documents, achieving 99%+ field-level accuracy.
Connected the automation pipeline to TMS, ERP, and accounting systems for seamless end-to-end processing.
Expanded automation coverage to all document types with continuous model improvement and accuracy monitoring.
The platform now processes 80% of all documents without human intervention. Annual time savings exceeded 12,000 work hours, and data entry error rates dropped from 8.3% to 0.2%. Invoice processing time decreased from 3 days to 4 hours, and the operations team was redeployed to higher-value customer relationship activities. ROI was achieved within five months.
Case Study