Client retention crisis. Invoice automation accuracy stuck at 81%. Three clients threatening cancellation. THE ACCURACY PROBLEM Client #1: Multi-vendor invoices, formats changing monthly Client #2: Scanned receipts with coffee stains and folds Client #3: International invoices in 6 languages Single OCR approach failing across all document types. THE DIAGNOSTIC WEEKEND Downloaded 500 failed invoices. Analyzed failure patterns: Pattern 1: Template-based invoices (45% of volume) - Consistent layout, known vendors - Current accuracy: 95% - Issue: Minor layout variations breaking extraction Pattern 2: Scanned paper invoices (30% of volume) - Poor quality, handwritten notes - Current accuracy: 67% - Issue: OCR struggling with image quality Pattern 3: International formats (15% of volume) - Different currencies, date formats - Current accuracy: 71% - Issue: Parsing logic too rigid Pattern 4: Complex tables (10% of volume) - Merged cells, spanning rows - Current accuracy: 54% - Issue: Table structure not preserved THE INTELLIGENT ROUTING SOLUTION (n8n) Built smart document classifier: Node 1: Document analysis and classification - Image quality assessment - Template pattern recognition - Language detection - Table complexity scoring Node 2: Routing logic (4 processing paths) Path A: Known templates → Pattern matching + basic OCR Path B: Poor quality scans → Image enhancement + specialized OCR Path C: International formats → Multi-language processing Path D: Complex tables → Structure-preserving extraction Node 3: Processing execution per path Node 4: Results validation and confidence scoring Node 5: Automatic retry with different path if <90% confidence Node 6: Human review queue for persistent failures THE ACCURACY TRANSFORMATION Reprocessed failed invoices with routing: Template invoices: 95% → 99.8% accuracy Scanned invoices: 67% → 98.9% accuracy International: 71% → 99.1% accuracy Complex tables: 54% → 97.4% accuracy Overall accuracy: 81% → 99.7%

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