Rank supplier RFPs with Groq LLM, Airtable and Slack

by WeblineIndia ✓ · 209 views · created 2026-09-28 · CRM, AI Summarization

What this workflow does

This AI workflow has 15 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Airtable, Groq Chat Model and Slack.

How it runs

Trigger: Manually, when you click “Execute workflow”.

1. Fetch Priority (Airtable): search
2. Prompts (Edit Fields (Set)): sets 4 fields: ESG_Focus, Cost_Reduction, Speed_to_Market…
3. System Prompt (Edit Fields (Set)): sets 1 field: System_Prompt
4. Fetch Pending Suppliers (Airtable): search
5. Batch Processing Loop (Loop Over Items (Split in Batches)): loops over the items in batches
6. Sort: sorts the items
7. Evaluate Supplier (LLM) (Basic LLM Chain): sends a prompt to an LLM, with model: Groq LLM Engine; output parser: Enforce JSON Schema
8. Assign Leaderboard Rank (Code): runs custom JavaScript code
9. Extract AI Scores (Edit Fields (Set)): sets 4 fields: ESG_Score, ESG_Reasoning, Risk_Score…
10. Update Supplier Record (Airtable): update

…plus 2 more steps. See the full node list below.

Services it uses

AirtableGroq Chat ModelSlack

Before you upgrade to n8n 3.0

Nodes used (10)

• Airtablen8n-nodes-base.airtable
• Edit Fields (Set)n8n-nodes-base.set
• Manual Triggern8n-nodes-base.manualTrigger
• Loop Over Items (Split in Batches)n8n-nodes-base.splitInBatches
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• Groq Chat Model@n8n/n8n-nodes-langchain.lmChatGroq
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
• Coden8n-nodes-base.code
• Sortn8n-nodes-base.sort
• Slackn8n-nodes-base.slack

From the author

Quick overview This workflow pulls pending supplier RFP responses from Airtable, uses Groq-hosted LLM analysis to score ESG and supply risk, calculates a strategy-weighted total score using price and lead time, ranks suppliers into a leaderboard, updates…

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