Sell clothing on Facebook Messenger with Gemini, Stripe, and an admin app

by Tushar Rayamajhi ✓ · 21 views · created 2026-10-05 · Lead Nurturing, AI Chatbot

What this workflow does

This AI workflow has 306 nodes and runs when an HTTP GET request hits its webhook URL (plus 13 other triggers). Along the way it connects Google Gemini Chat Model, Postgres Chat Memory, Data table and Google Gemini and 2 more. It also calls graph.facebook.com, generativelanguage.googleapis.com and api.stripe.com over HTTP.

How it runs

Trigger: When an HTTP GET request hits its webhook URL (plus 13 other triggers).

1. Load verify token (Data table): get
2. Acknowledge Event (200 OK) (Respond to Webhook): sends the response back to the webhook caller
3. Load connections (messages) (Data table): get
4. Load connections (return page) (Data table): get
5. Delete Old Message IDs (Data table): delete rows
6. Delete Stale Cart Lines (Data table): delete rows
7. Read Draft Orders (Data table): get
8. Build error details (Edit Fields (Set)): sets 1 field: details
9. Render app (Code): runs custom JavaScript code
10. Render orders module (Code): runs custom JavaScript code

…plus 263 more steps. See the full node list below.

Services it uses

Google Gemini Chat ModelPostgres Chat MemoryData tableGoogle GeminiPostgresGoogle Drive

HTTP calls to: graph.facebook.com, generativelanguage.googleapis.com, api.stripe.com

Before you upgrade to n8n 3.0

Nodes used (27)

• Webhookn8n-nodes-base.webhook
• Ifn8n-nodes-base.if
• Respond to Webhookn8n-nodes-base.respondToWebhook
• Split Outn8n-nodes-base.splitOut
• Execute Sub-workflown8n-nodes-base.executeWorkflow
• Execute Workflow Triggern8n-nodes-base.executeWorkflowTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Data tablen8n-nodes-base.dataTable
• HTTP Requestn8n-nodes-base.httpRequest
• Coden8n-nodes-base.code
• AI Agent@n8n/n8n-nodes-langchain.agent
• Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
• Postgres Chat Memory@n8n/n8n-nodes-langchain.memoryPostgresChat
• Data Table Tooln8n-nodes-base.dataTableTool
• Google Gemini Tool@n8n/n8n-nodes-langchain.googleGeminiTool
• Call n8n Workflow Tool@n8n/n8n-nodes-langchain.toolWorkflow
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
• Switchn8n-nodes-base.switch
• Chat Memory Manager@n8n/n8n-nodes-langchain.memoryManager
• Waitn8n-nodes-base.wait
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Filtern8n-nodes-base.filter
• Error Triggern8n-nodes-base.errorTrigger
• Postgresn8n-nodes-base.postgres
• Manual Triggern8n-nodes-base.manualTrigger
• Crypton8n-nodes-base.crypto
• Google Driven8n-nodes-base.googleDrive

From the author

Quick overview This workflow turns Facebook Messenger messages into a clothing sales flow powered by Google Gemini, with carts and orders stored in n8n Data Tables, payments handled via Stripe Checkout, customer memory stored in Postgres, and an embedded…

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