Gemini + Data Table Procurement Validation n8n Workflow
Gemini + Data Table Procurement Validation n8n Workflow
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£69.99
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Gemini + Data Table Procurement Validation n8n Workflow
Regular price
£69.99
Regular price
£69.99
Sale price
Unit price
/
per
Stop bad procurement data at the door—instantly validate, detect recurring errors, and use Google Gemini for anomaly checks
The Gemini + Data Table Procurement Validation n8n Workflow receives procurement line-item records via a webhook, runs deterministic validation (required fields, math, tax, and unit normalization), then—only when needed—uses Google Gemini to spot contextual semantic anomalies. It returns an immediate JSON accept/reject response and learns from new error patterns by upserting them into an n8n Data Table.
What this workflow does
- Ingests procurement data through an HTTP POST webhook.
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Normalizes and validates fields using configurable rules, including unit aliases and deterministic checks for:
- Required field presence
- Quantity and price validity
- Subtotal math
- Tax calculations
- Builds an error “pattern signature” from key fields and searches an n8n Data Table for prior occurrences.
- Reuses trusted corrections when a high-confidence recurring pattern (with enough occurrences) is found—skipping AI review for efficiency.
- Runs Google Gemini when no trusted pattern exists to identify contextual anomalies (e.g., category, coding, supplier-item, or unit inconsistencies) and suggested corrections.
- Combines deterministic results + history + Gemini findings into a single decision, returning JSON that indicates whether the record is accepted and what issues were detected.
- Improves future detection by upserting newly observed error patterns (counts, confidence, and summary) into the n8n Data Table.
Use cases
- Validate procurement line items before they enter ERP/finance workflows.
- Auto-detect repeated vendor or unit coding mistakes across submissions.
- Catch subtle semantic mismatches that deterministic rules can miss.
Technical details
- n8n nodes: if, set, code, merge, webhook, data table
- AI integration: Google Gemini for semantic anomaly detection
- Data learning: n8n Data Table for recurring pattern matching and upsert
Setup note: create an n8n Data Table to store and reuse procurement error pattern signatures.
