Score and shortlist suppliers with Google Sheets, Google Gemini, and Gmail
Ready for 3.0What this workflow does
This AI workflow has 17 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Sheets, Google Gemini Chat Model and Gmail.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Get RFx Requirements (Google Sheets): uses Google Sheets
- Find Requested RFQ (Filter): keeps only the items that match a condition
- Normalize RFx Data (Edit Fields (Set)): sets 8 fields: Request_ID, category, country…
- Merge: merges the data from its input branches
- Find Matching Suppliers (Google Sheets): uses Google Sheets
- AI Supplier Match Analysis (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model
- Merge: merges the data from its input branches
- Parse AI Assessment (Code): runs custom JavaScript code
- Get Supplier Intelligence (HTTP Request): calls an HTTP API (POST)
- Merge: merges the data from its input branches
…plus 5 more steps. See the full node list below.
Services it uses
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 (12)
- Google Sheets
n8n-nodes-base.googleSheets - Edit Fields (Set)
n8n-nodes-base.set - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Code
n8n-nodes-base.code - Merge
n8n-nodes-base.merge - Sort
n8n-nodes-base.sort - Limit
n8n-nodes-base.limit - Gmail
n8n-nodes-base.gmail - HTTP Request
n8n-nodes-base.httpRequest - Webhook
n8n-nodes-base.webhook - Filter
n8n-nodes-base.filter
From the author
Quick overview This workflow receives an RFx request via webhook, pulls the matching requirements from Google Sheets, finds candidate suppliers from a supplier master sheet, and uses Google Gemini plus an external supplier-intelligence API to score, rank,…