Intelligent Document Processing
for Logistics
The Challenge
Processed 50K+ documents per month (BoL, Invoices, POD, Customs) manually, with 60% of operational effort spent on data entry.
Error Rate: 5–8% → causing customs delays and billing mismatches.
Solution: IDP Engine
Hybrid OCR + intelligent extraction engine with field-level confidence scoring for high-accuracy document processing.
Supported Documents
- BoL: Shipper → consignee mapping, items, weight, hazmat
- Invoice: Vendor, line items, PO reference, amounts, payment terms
- POD: Recipient, timestamp, exception notes
- Customs: HS codes, origin, declarations, duty codes
Capabilities
OCR + Post-Processing
Hybrid vision models with heuristics for high extraction accuracy
Named Entity Extraction
Extract shipper, consignee, HS codes, weights, hazmat data
Field Confidence Scoring
Flags low-confidence extractions (<85%) for QA validation
API Integration
Real-time upload → processed output in 5–10 seconds
Business Impact
| Metric | Before | After | Improvement |
|---|---|---|---|
| Manual Data Entry | 60% of operations | 5–10% (QA only) | 90% automation |
| Error Rate | 5–8% | <0.3% | 99% accuracy |
| Throughput | 500 docs/day | 15K+ docs/day | 30x scale |
| ERP Backlog | 1–2 weeks | Real-time sync | No backlog |
Key Outcomes
✓ Eliminates manual data entry
✓ ERP-ready document pipeline
✓ Scalable to 15–20 document types
✓ Field-level confidence scoring
