OCR Automations
98% accuracy on structured documents. Scanned papers become usable data without manual entry.
The Results
We built an AI-powered OCR system for a logistics company that digitizes delivery receipts and customs documents automatically.
Key Performance Indicators
Data Entry Time
85% reduction
From manual transcription to automated extraction
Documents Processed
2,000+/day
Receipts, forms, and shipping documents
Accuracy Rate
98.5%
On structured fields (dates, amounts, IDs)
Speed to First Win
1 week
From kickoff to first automated extraction
The Story
Before
Drivers returned with stacks of signed delivery receipts every day. A team of three people spent their entire shift typing information from paper into the system — customer names, addresses, signature confirmations, delivery times. Handwriting was often illegible. Customs documents arrived in different formats and languages. Errors crept in from typos and misreads. The backlog grew whenever someone was sick or on vacation.
After
Documents are now scanned and processed automatically within seconds. The AI reads handwritten signatures, printed text, stamps, and checkboxes alike. Data flows directly into the logistics system without manual intervention. The three-person data entry team now handles exceptions and quality checks instead of routine typing. Backlog is eliminated. Customs documents in German, French, and Polish are processed as easily as English ones.
Context
Project Details
Starting Point
Regional logistics company, 50 drivers, 2,000+ paper documents daily including delivery receipts and customs forms
Constraint
Documents came in varying quality — wrinkled, coffee-stained, partially torn. Couldn't change the paper forms drivers used.
Risk
Wrong data could cause delivery disputes and customs issues. Previous OCR tools had failed due to handwriting complexity.
Success Metric
95%+ accuracy on key fields, same-day processing of all documents, human review only for flagged items
What We Did Not Do
We didn't require perfect scans. The AI handles wrinkled pages, coffee stains, and poor lighting. Real-world document quality, not lab conditions.
We didn't eliminate human oversight. Low-confidence extractions are flagged for review. The system knows when it's unsure.
We didn't build a rigid template system. The AI understands document structure, not just fixed field positions. New form variations work automatically.
We didn't ignore validation. Extracted data is cross-checked against expected formats and existing records. Anomalies are caught before they enter your systems.
Want Similar Results?
Book a 30-minute clarity call. We'll tell you if OCR automation makes sense for your document workflows — and if we can help.
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