Intelligent Document Processing for Logistics
Processes 15K+ shipping documents a day with confidence-scored extraction and real-time ERP sync.
What was breaking
50K+ shipping documents a month — BoLs, Invoices, PODs and Customs forms — were processed manually. 60% of ops labour went to data entry, with 5–8% error rates causing customs delays and billing mismatches.
Logistics IDP
A hybrid OCR and intelligent extraction pipeline with field-level confidence scoring and real-time API integration into ERPs.
- OCR + post-processing for high accuracy
- Named entity extraction for logistics documents
- Field-level confidence scoring
- Real-time API integration with ERPs
- Support for BoL, Invoice, POD and Customs
How it works
- 01
Capture
Documents ingested via API in real time.
- 02
OCR
Hybrid vision plus heuristic post-processing for high accuracy.
- 03
Extract
Named entities — shipper, consignee, HS codes, weights, hazmat — pulled out.
- 04
Score
Low-confidence fields (<85%) flagged for QA review.
- 05
Sync
Structured output pushed to ERP in 5–10 seconds.
- 01
Capture
Documents ingested via API in real time.
- 02
OCR
Hybrid vision plus heuristic post-processing for high accuracy.
- 03
Extract
Named entities — shipper, consignee, HS codes, weights, hazmat — pulled out.
- 04
Score
Low-confidence fields (<85%) flagged for QA review.
- 05
Sync
Structured output pushed to ERP in 5–10 seconds.
Before vs. after
| Metric | Before | After | Improvement |
|---|---|---|---|
| Manual data entry | 60% of ops | 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 |
What changed
- ✓Eliminates manual data entry
- ✓ERP-ready document pipeline
- ✓Scalable across 15–20 document types
- ✓Field-level confidence scoring for QA routing
Inside the build
Could this work for your team?
We adapt these blueprints to your domain, data and governance constraints — typically delivering a working prototype in weeks.