AI Summary & Key Takeaways
Engineered custom Python Tesseract OCR & LLM extraction parsing unstructured PDF invoices into structured JSON.
Built non-intrusive REST middleware connecting legacy SAP ERP with real-time automated ledger posting.
Full ROI recovered within 4 months of production launch with 82% reduction in staff processing hours.
Zero system downtime achieved via blue/green parallel migration protocol.
82%
Processing Time Reduced
From 4 hours to 45 seconds per batch
99.9%
OCR Extraction Accuracy
Zero manual data entry errors
4 Months
Full ROI Recovery
Project cost recovered via saved team hours
0 Downtime
Migration Protocol
Parallel running alongside legacy SAP ERP
THE CHALLENGE
Manual bottlenecks across 4 factory units.
The client was managing over 1,500 monthly vendor invoices manually using Excel spreadsheets and email attachments. This created multi-day processing delays, payment reconciliation errors, and lack of real-time operational visibility for executive leadership.
THE VAYCE SOLUTION
Automated OCR & middleware sync.
VAYCE engineered an automated document processing pipeline. Incoming vendor PDFs are automatically ingested via email webhooks, sanitized using custom Python OCR algorithms, validated against purchase order rules, and posted directly to SAP ERP ledgers with instant WhatsApp notifications.
AUTOMATION CASE STUDY INQUIRY
Build similar automation velocity.
Tell us about your manual processes or ERP bottlenecks for a feasibility roadmap and ROI estimate.