Automating claims review for a logistics provider

The Challenge

A regional freight and logistics operator processed thousands of damage and discrepancy claims each month. Every submission contained heterogeneous documents — bill of lading scans, damaged package photos, delivery receipts, and handwritten notes. Manual review created a 12-day processing backlog, driving up operational costs and dissatisfying commercial shipping partners.

The Approach

DevsTek deployed an AI-assisted document processing pipeline that automatically ingests incoming claim files, extracts key metadata using computer vision and OCR models, and validates claim information against historical shipment records. Complex or edge-case claims are flagged for human-in-the-loop audit, while standard claims are automatically routed for approval.

The Results

• Claim processing cycle time reduced from 12 days to under 4 hours
• 78% of routine freight claims automatically verified without manual intervention
• Operational processing cost per claim decreased by 60%