Templates / Classify purchase requisitions with Google Gemini, Gmail, Slack and Sheets

Classify purchase requisitions with Google Gemini, Gmail, Slack and Sheets

Ready for 3.0

by WeblineIndia ✓ · 14 views · created 2026-08-20 · Document Extraction, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 15 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Gemini Chat Model, Gmail, Google Sheets and Slack.

How it runs

Trigger: When an HTTP POST request hits its webhook URL.

  1. Validate & Normalize PR Data (Code): runs custom JavaScript code
  2. AI: Categorize Purchase Requisition (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model
  3. Merge: merges the data from its input branches
  4. Parse AI Classification Result (Code): runs custom JavaScript code
  5. Store Procurement Record (Google Sheets): append
  6. Calculate Classification Confidence (Code): runs custom JavaScript code
  7. Notify Procurement Approver (Gmail): uses Gmail
  8. Send Procurement Slack Alert (Slack): uses Slack
  9. Check Auto Approval Eligibility (If): checks a condition and branches into true / false
  10. Set Final Procurement Category (Edit Fields (Set)): sets 3 fields: approval_status, routing_status, processed_timestamp

…plus 3 more steps. See the full node list below.

Services it uses

Google Gemini Chat ModelGmailGoogle SheetsSlack

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (10)

From the author

Quick overview This workflow receives purchase requisitions via a webhook, validates and normalizes the payload, uses Google Gemini to classify the requisition into a procurement category with confidence and risk signals, then routes for auto-approval or…

Excerpt from WeblineIndia's description on n8n.io.

View the original on n8n.io → Check your own copy

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