DigiParser PO Validation & CSV Export (n8n Workflow)

Validate DigiParser Purchase Orders & Export Clean CSVs for Staging

This n8n workflow validates DigiParser purchase order extraction events, separates valid vs. invalid PO data, and exports two CSV files: one ready for downstream staging and another for operator review and reprocessing.

What this workflow does

• Manual run + demo mode: You can manually trigger the workflow to simulate processing DigiParser document.exported events using included synthetic payloads—no account connection required for the demo.
• Batch validation: It loads sample DigiParser payloads containing PO header fields and line items, then checks required PO fields, currency and date formats, line-item quantities and arithmetic, and order-total reconciliation.
• Duplicate detection: It detects duplicate customer + PO number pairs within the batch.
• Result splitting: Valid orders are marked as staging-ready; invalid orders are captured with reasons for failure for quick troubleshooting.
• CSV export: It exports:
  • Valid orders as a line-level CSV suitable for import into order-entry/ERP staging.
  • Invalid orders as a separate CSV so an operator can correct the data and reprocess.

Use cases

• QA your DigiParser PO extraction before sending to ERP staging—catch bad dates, totals mismatches, and quantity issues early.
• Route failed extractions to an operator workflow by using the “invalid orders” CSV with explicit failure reasons.
• Prevent duplicates by flagging repeated customer + PO combinations within a processing batch.

Technical details

• Trigger: Manual Trigger (demo + simulation)
• Nodes used: if, code, sticky note, convert to file, manual trigger
• Data mapping (real runs): Replace the synthetic loader with a trusted source and map DigiParser fields (e.g., documentId → data.id, and extraction tables/fields into data.extracted_data), including Customer Name, PO Number, PO Date, Currency, Order Total, and Line Items.