RFx Supplier Awards Automation with Groq, Notion & Slack Webhook

Automatically award RFx suppliers—scored, recommended by Groq, saved to Notion, and alerted in Slack

This n8n workflow receives an RFx completion webhook, evaluates suppliers using your cost, risk, lead time, and rating constraints, generates award scenarios, then uses a Groq (LangChain agent) to produce a structured procurement recommendation. Results are stored in Notion and completion (or error) alerts are posted to Slack.

What this workflow does

• Receives an HTTP POST webhook with rfx_id, suppliers[] (including cost, risk, lead_time, rating), and optional constraints.
• Validates input: if no suppliers are provided, it posts an error to Slack and returns an invalid input webhook response.
• Filters and scores suppliers using weighted factors for cost, risk, lead time, and rating.
• Generates three award scenarios: best cost, lowest risk, and a balanced option, returning a ranked supplier list.
• Calls Groq via a LangChain agent to produce a JSON-only executive summary, insights, trade-off analysis, and a final recommendation.
• Parses and validates AI output: if JSON validation fails, the workflow posts an AI error to Slack and returns an AI error webhook response.
• Saves to Notion (recommendation + insights), posts a completion message to a Slack channel, and returns a success response to the original webhook request.

Use cases

• Procurement teams want consistent supplier award recommendations after each RFx completes.
• Automation engineers need an RFx scoring + LLM recommendation pipeline built in n8n.
• SaaS operators running vendor selection want auditable outputs stored in Notion with Slack alerts for success/failure.

Technical details

• n8n nodes/logic: if, set, code, webhook, slack, notion
• LLM integration: Groq using a LangChain agent with JSON-only structured output
• Workflow reliability: Slack alerts for invalid input and AI parsing failures; webhook responses for error/success states