Coach procurement negotiations in Slack with Groq, Alpha Vantage, and Sheets
Ready for 3.0What this workflow does
This AI workflow has 23 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Sheets and Groq Chat Model. It also calls alphavantage.co and slack.com over HTTP.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Route Slack Payload (Switch): routes items into 3 branches
- Fetch Aluminum Price (HTTP Request): calls alphavantage.co
- Fetch Supplier History (Google Sheets): uses Google Sheets
- Extract Response URL (Edit Fields (Set)): sets 1 field: url
- Parse Modal Payload (Edit Fields (Set)): sets or maps fields
- Extract Price Data (Edit Fields (Set)): sets 1 field: latest_aluminum_price
- Format History Data (Aggregate): combines items into one
- Post Loading Message (HTTP Request): calls an HTTP API (POST)
- Launch Slack Modal (HTTP Request): calls slack.com (POST)
- Generate Live Tactic (Basic LLM Chain): sends a prompt to an LLM, with model: Groq Model (Tactic)
…plus 7 more steps. See the full node list below.
Services it uses
HTTP calls to: alphavantage.co, slack.com
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)
- Webhook
n8n-nodes-base.webhook - Switch
n8n-nodes-base.switch - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set - Google Sheets
n8n-nodes-base.googleSheets - Aggregate
n8n-nodes-base.aggregate - Merge
n8n-nodes-base.merge - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
Quick overview This workflow receives Slack slash commands and interactive events to generate a procurement negotiation intelligence report using Alpha Vantage aluminum prices, supplier deal history from Google Sheets, and Groq-hosted LLM prompts, then…