{
"workflow": {
"id": 5983,
"name": "Automate restaurant sales & inventory forecasting with Gemini AI & Google Sheets",
"views": 1890,
"recentViews": 1,
"totalViews": 1890,
"createdAt": "2025-07-14T08:00:45.788Z",
"description": "This automated n8n workflow performs weekly forecasting of restaurant sales and raw material requirements using historical data from Google Sheets and AI predictions powered by Google Gemini. The forecast is then emailed to stakeholders for efficient planning and waste reduction.\n\n## **What is Google Gemini AI?**\nGoogle Gemini is an advanced AI model that analyzes historical sales data, seasonal patterns, and market trends to generate accurate forecasts for restaurant sales and inventory requirements, helping optimize purchasing decisions and reduce waste.\n\n## **Good to Know**\n* Google Gemini AI forecasting accuracy improves over time with more historical data\n* Weekly forecasting provides better strategic planning compared to daily predictions\n* Google Sheets access must be properly authorized to avoid data sync issues\n* Email notifications ensure timely review of weekly forecasts by stakeholders\n* The system analyzes trends and predicts upcoming needs for efficient planning and waste reduction\n\n## **How It Works**\n1. **Trigger Weekly Forecast** - Automatically starts the workflow every week at a scheduled time\n2. **Load Historical Sales Data** - Pulls weekly sales and material usage data from Google Sheets\n3. **Format Input for AI Agent** - Transforms raw data into a structured format suitable for the AI Agent\n4. **Generate Forecast with AI** - Uses Gemini AI to analyze trends and predict upcoming needs\n5. **Interpret AI Forecast Output** - Parses the AI's response into readable, usable JSON format\n6. **Log Forecast to Google Sheets** - Stores the new forecast data back into a Google Sheet\n7. **Email Forecast Summary** - Sends a summary of the forecast via Gmail for stakeholder review\n\n## **Data Sources**\nThe workflow utilizes Google Sheets as the primary data source:\n\n1. **Historical Sales Data Sheet** - Contains weekly sales and inventory data with columns:\n - Week/Date (date)\n - Menu Item (text)\n - Sales Quantity (number)\n - Revenue (currency)\n - Raw Material Used (number)\n - Inventory Level (number)\n - Category (text)\n\n2. **Forecast Output Sheet** - Contains AI-generated predictions with columns:\n - Forecast Week (date)\n - Menu Item (text)\n - Predicted Sales (number)\n - Recommended Inventory (number)\n - Material Requirements (number)\n - Confidence Level (percentage)\n - Notes (text)\n\n## **How to Use**\n* Import the workflow into n8n\n* Configure Google Sheets API access and authorize the application\n* Set up Gmail credentials for forecast report delivery\n* Create the required Google Sheets with the specified column structures\n* Configure Google Gemini AI API credentials\n* Test with sample historical sales data to verify predictions and email delivery\n* Adjust forecasting parameters based on your restaurant's specific needs\n* Monitor and refine the system based on actual vs. predicted results\n\n## **Requirements**\n1. Google Sheets API access\n2. Gmail API credentials\n3. Google Gemini AI API credentials\n4. Historical sales and inventory data for initial training\n\n## **Customizing This Workflow**\nModify the Generate Forecast with AI node to focus on specific menu categories, seasonal adjustments, or local market conditions. Adjust the email summary format to match your restaurant's reporting preferences and add additional data sources like supplier information, weather data, or special events calendar for more accurate predictions.",
"workflow": {
"id": "Y6Pn9PLNoMU7e8Xb",
"meta": {
"instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
"templateCredsSetupCompleted": true
},
"name": "Restaurant Sales & Inventory Forecasting System using Gemini AI & Google Sheets",
"tags": [],
"nodes": [
{
"id": "80bda799-9bcd-41b5-a94e-ab32919b04e3",
"name": "Workflow Explanation",
"type": "n8n-nodes-base.stickyNote",
"position": [
140,
-200
],
"parameters": {
"color": 4,
"width": 740,
"height": 200,
"content": "## Workflow Overview \n\n### This workflow automates weekly forecasting of restaurant sales and raw material requirements using historical data from Google Sheets and AI predictions powered by Google Gemini. The forecast is then emailed to stakeholders for efficient planning and waste reduction."
},
"typeVersion": 1
},
{
"id": "848c741c-7206-46cb-b10e-205feb126544",
"name": "Trigger Weekly Forecast",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-340,
460
],
"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"triggerAtHour": 20
}
]
}
},
"typeVersion": 1.2
},
{
"id": "75c05f50-aea8-48d7-ae9c-fc1e9af03179",
"name": "Load Historical Sales Data",
"type": "n8n-nodes-base.googleSheets",
"position": [
-120,
460
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QZXX_gjNTTZ0vqPozNysjASQS3UcgwwWVpYvN7r-T_I/edit#gid=0",
"cachedResultName": "current data"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1QZXX_gjNTTZ0vqPozNysjASQS3UcgwwWVpYvN7r-T_I",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QZXX_gjNTTZ0vqPozNysjASQS3UcgwwWVpYvN7r-T_I/edit?usp=drivesdk",
"cachedResultName": "Restaurant stock predictions"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "credential-id",
"name": "googleApi Credential"
}
},
"typeVersion": 4.6
},
{
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"name": "Format Input for AI Agent",
"type": "n8n-nodes-base.code",
"position": [
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],
"parameters": {
"jsCode": "// Fetch all incoming items\nconst items = $input.all();\n\n// Extract the raw row data (each item.json is one row)\nconst rawRows = items.map(item => item.json);\n\n// Bundle everything into a single field\nconst payload = { rows: rawRows };\n\n// Return a single output item whose json contains your full dataset\nreturn [{ json: { data: payload } }];\n"
},
"typeVersion": 2
},
{
"id": "b83e66e4-2d98-47e0-9fb6-e5837863494e",
"name": "Generate Forecast with AI",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
320,
460
],
"parameters": {
"text": "={{ $json.data }}",
"options": {
"systemMessage": "You are a restaurant demand forecasting assistant.\n\nYou will be given a JSON object 'data' containing an array of historical weekly records. Each record includes:\n- row_number\n- Date (ISO format)\n- Sales for dishes (e.g. \"Neapolitan Pizza Sold\", \"Picanha Sold\", etc.)\n- Quantities of raw materials used that week (e.g. \"Flour (kg)\", \"Cheese (kg)\", etc.)\n\nYour task:\n1. Analyze trends across the historical weeks.\n2. Forecast next Monday’s sales (units sold for each dish).\n3. Calculate the required quantity of each raw material needed next week to match that forecast, based on per‑unit usage rates inferred from the data.\n4. Output exactly one JSON record, following the same structure as the input records. For example:\n\n```json\n{\n \"row_number\": 7,\n \"Date\": \"2025-07-14\",\n \"Neapolitan Pizza Sold\": 58,\n \"Picanha Sold\": 36,\n \"Huevos Rancheros Sold\": 62,\n \"Japanese Curry Sold\": 48,\n \"Birria Ramen Sold\": 31,\n \"Flour (kg)\": 11.5,\n \"Cheese (kg)\": 5.8,\n \"Tomato Sauce (L)\": 4.4,\n \"Beef (kg)\": 18,\n \"Pork (kg)\": 10,\n \"Rice (kg)\": 5.8,\n \"Tortillas (pcs)\": 62,\n \"Eggs (pcs)\": 62,\n \"Curry Powder (kg)\": 1.45,\n \"Chili Powder (kg)\": 1.05\n}\n\nUse think tool if needed\n"
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "d0cc88f1-0bdb-48c0-9d6e-ff68e93517f0",
"name": "AI Think Tool",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
468,
680
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c7df1137-e2b1-4ea9-9dd4-e4025e92480e",
"name": "Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
348,
680
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.5-pro"
},
"credentials": {
"googlePalmApi": {
"id": "credential-id",
"name": "googlePalmApi Credential"
}
},
"typeVersion": 1
},
{
"id": "40dd2b9c-85b4-4e44-8e48-2972fb75645b",
"name": "Interpret AI Forecast Output",
"type": "n8n-nodes-base.code",
"position": [
696,
460
],
"parameters": {
"jsCode": "// Run this in 'Run Once for All Items' mode\n\n// Assume AI agent returned a single item and that its output is in item.json.output\nconst items = $input.all();\nconst aiText = items[0].json.output;\n\n// Remove markdown fences and extract JSON\nconst jsonString = aiText\n .replace(/```json\\s*([\\s\\S]*?)```/i, '$1') // strip markdown fences\n .trim();\n\n// Parse it to a JS object\nlet parsed;\ntry {\n parsed = JSON.parse(jsonString);\n} catch (e) {\n throw new Error('Failed to parse JSON from AI output: ' + e.message);\n}\n\n// Ready to output\nreturn [{ json: parsed }];\n"
},
"typeVersion": 2
},
{
"id": "537236ac-461a-416d-ada7-4e6be84cb790",
"name": "Log Forecast to Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
916,
460
],
"parameters": {
"columns": {
"value": {},
"schema": [
{
"id": "Date",
"type": "string",
"display": true,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Neapolitan Pizza Sold",
"type": "string",
"display": true,
"required": false,
"displayName": "Neapolitan Pizza Sold",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Picanha Sold",
"type": "string",
"display": true,
"required": false,
"displayName": "Picanha Sold",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Huevos Rancheros Sold",
"type": "string",
"display": true,
"required": false,
"displayName": "Huevos Rancheros Sold",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Japanese Curry Sold",
"type": "string",
"display": true,
"required": false,
"displayName": "Japanese Curry Sold",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Birria Ramen Sold",
"type": "string",
"display": true,
"required": false,
"displayName": "Birria Ramen Sold",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Flour (kg)",
"type": "string",
"display": true,
"required": false,
"displayName": "Flour (kg)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Cheese (kg)",
"type": "string",
"display": true,
"required": false,
"displayName": "Cheese (kg)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Tomato Sauce (L)",
"type": "string",
"display": true,
"required": false,
"displayName": "Tomato Sauce (L)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Beef (kg)",
"type": "string",
"display": true,
"required": false,
"displayName": "Beef (kg)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Pork (kg)",
"type": "string",
"display": true,
"required": false,
"displayName": "Pork (kg)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Rice (kg)",
"type": "string",
"display": true,
"required": false,
"displayName": "Rice (kg)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Tortillas (pcs)",
"type": "string",
"display": true,
"required": false,
"displayName": "Tortillas (pcs)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Eggs (pcs)",
"type": "string",
"display": true,
"required": false,
"displayName": "Eggs (pcs)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Curry Powder (kg)",
"type": "string",
"display": true,
"required": false,
"displayName": "Curry Powder (kg)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Chili Powder (kg)",
"type": "string",
"display": true,
"required": false,
"displayName": "Chili Powder (kg)",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 370915330,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QZXX_gjNTTZ0vqPozNysjASQS3UcgwwWVpYvN7r-T_I/edit#gid=370915330",
"cachedResultName": "prediction data"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1QZXX_gjNTTZ0vqPozNysjASQS3UcgwwWVpYvN7r-T_I",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QZXX_gjNTTZ0vqPozNysjASQS3UcgwwWVpYvN7r-T_I/edit?usp=drivesdk",
"cachedResultName": "Restaurant stock predictions"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "credential-id",
"name": "googleApi Credential"
}
},
"typeVersion": 4.6
},
{
"id": "0af7f39a-aa13-44fc-a653-71533d2851b6",
"name": "Email Forecast Summary",
"type": "n8n-nodes-base.gmail",
"position": [
1136,
460
],
"webhookId": "64ff6f6e-2765-447c-b68c-352172b67174",
"parameters": {
"sendTo": "user@example.com",
"message": "=Dear Manager,
\nPlease find the details for the monday predicted data.
\n\n\n\nScraping Date:{{ $json.Date }}
\n
\n\n\nSheet link with all data:
\nClick here to view the data
\n\n\n\n
Thanks,
Ajay Mishra",
"options": {},
"subject": "Next monday prediction"
},
"credentials": {
"gmailOAuth2": {
"id": "credential-id",
"name": "gmailOAuth2 Credential"
}
},
"typeVersion": 2.1
},
{
"id": "761f823d-4ba8-44d3-9ae7-c595de84cf9e",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
140
],
"parameters": {
"width": 180,
"height": 480,
"content": "Automatically starts the workflow at a scheduled time."
},
"typeVersion": 1
},
{
"id": "aa031a03-5275-4aef-b1e9-a4e54b782a55",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-160,
140
],
"parameters": {
"color": 3,
"width": 180,
"height": 480,
"content": "Pulls weekly sales and material usage from Google Sheets."
},
"typeVersion": 1
},
{
"id": "f87f5e45-590f-466e-8869-7d79216ee073",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
656,
140
],
"parameters": {
"color": 2,
"width": 180,
"height": 480,
"content": "Parses the AI's response into readable, usable JSON format."
},
"typeVersion": 1
},
{
"id": "d2dfb72b-056a-429c-b1b2-0fd95acea27d",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
876,
140
],
"parameters": {
"color": 5,
"width": 180,
"height": 480,
"content": "Stores the new forecast data back into a Google Sheet."
},
"typeVersion": 1
},
{
"id": "c59672c3-2e43-4720-9952-1cca1af8b1ea",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1096,
140
],
"parameters": {
"color": 3,
"width": 180,
"height": 480,
"content": "Sends a summary of the forecast via Gmail."
},
"typeVersion": 1
},
{
"id": "265d61ce-6aad-46ee-a30d-81e291b91bed",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
140
],
"parameters": {
"color": 4,
"width": 180,
"height": 480,
"content": "Transforms raw data into a structured format suitable for the AI Agent.\n\n"
},
"typeVersion": 1
},
{
"id": "ee2932b4-96ec-464f-8b6c-0971a30740e3",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
320,
140
],
"parameters": {
"color": 6,
"width": 260,
"height": 480,
"content": "Uses Gemini AI to analyze trends and predict upcoming needs."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "01083ee7-6a3e-4dd5-92b3-13b38dbc019e",
"connections": {
"Chat Model": {
"ai_languageModel": [
[
{
"node": "Generate Forecast with AI",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Think Tool": {
"ai_tool": [
[
{
"node": "Generate Forecast with AI",
"type": "ai_tool",
"index": 0
}
]
]
},
"Trigger Weekly Forecast": {
"main": [
[
{
"node": "Load Historical Sales Data",
"type": "main",
"index": 0
}
]
]
},
"Format Input for AI Agent": {
"main": [
[
{
"node": "Generate Forecast with AI",
"type": "main",
"index": 0
}
]
]
},
"Generate Forecast with AI": {
"main": [
[
{
"node": "Interpret AI Forecast Output",
"type": "main",
"index": 0
}
]
]
},
"Load Historical Sales Data": {
"main": [
[
{
"node": "Format Input for AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Interpret AI Forecast Output": {
"main": [
[
{
"node": "Log Forecast to Google Sheets",
"type": "main",
"index": 0
}
]
]
},
"Log Forecast to Google Sheets": {
"main": [
[
{
"node": "Email Forecast Summary",
"type": "main",
"index": 0
}
]
]
}
}
},
"lastUpdatedBy": 29,
"workflowInfo": {
"nodeCount": 17,
"nodeTypes": {
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"count": 2
},
"n8n-nodes-base.gmail": {
"count": 1
},
"n8n-nodes-base.stickyNote": {
"count": 8
},
"n8n-nodes-base.googleSheets": {
"count": 2
},
"@n8n/n8n-nodes-langchain.agent": {
"count": 1
},
"n8n-nodes-base.scheduleTrigger": {
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},
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"count": 1
},
"@n8n/n8n-nodes-langchain.lmChatGoogleGemini": {
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}
}
},
"status": "published",
"user": {
"name": "Oneclick AI Squad",
"username": "oneclick-ai",
"bio": "The AI Squad Initiative is a pioneering effort to build, automate and scale AI-powered workflows using n8n.io. Our mission is to help individuals and businesses integrate AI agents seamlessly into their daily operations from automating tasks and enhancing productivity to creating innovative, intelligent solutions. We design modular, reusable AI workflow templates that empower creators, developers and teams to supercharge their automation with minimal effort and maximum impact.",
"verified": true,
"links": [
"https://www.oneclickitsolution.com/"
],
"avatar": "https://gravatar.com/avatar/848fca91367142f65f9e5c55d64e5c9952b160d7b060d103b52aa343c6bc7b3d?r=pg&d=retro&size=200"
},
"nodes": [
{
"id": 18,
"icon": "file:googleSheets.svg",
"name": "n8n-nodes-base.googleSheets",
"codex": {
"data": {
"alias": [
"CSV",
"Sheet",
"Spreadsheet",
"GS"
],
"resources": {
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{
"url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/",
"icon": "❤️",
"label": "Love at first sight: Ricardo’s n8n journey"
},
{
"url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
"icon": "🧬",
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{
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"icon": "🧾",
"label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
},
{
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{
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{
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{
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{
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"label": "How Honest Burgers Use Automation to Save $100k per year"
},
{
"url": "https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/",
"icon": "💻",
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{
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{
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{
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},
{
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],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/"
}
],
"credentialDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
}
]
},
"categories": [
"Data & Storage",
"Productivity"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"input\",\"output\"]",
"defaults": {
"name": "Google Sheets"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI2MCIgaGVpZ2h0PSI2MCI+PGcgZmlsbD0ibm9uZSIgZmlsbC1ydWxlPSJldmVub2RkIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwYXRoIGZpbGw9IiMyOEI0NDYiIGQ9Ik0zNS42OSAxIDUyIDE3LjIyNXYzOS4wODdhMy42NyAzLjY3IDAgMCAxLTEuMDg0IDIuNjFBMy43IDMuNyAwIDAgMSA0OC4yOTMgNjBIMTIuNzA3YTMuNyAzLjcgMCAwIDEtMi42MjMtMS4wNzhBMy42NyAzLjY3IDAgMCAxIDkgNTYuMzEyVjQuNjg4YTMuNjcgMy42NyAwIDAgMSAxLjA4NC0yLjYxQTMuNyAzLjcgMCAwIDEgMTIuNzA3IDF6Ii8+PHBhdGggZmlsbD0iIzZBQ0U3QyIgZD0iTTM1LjY5IDEgNTIgMTcuMjI1SDM5LjM5N2MtMi4wNTQgMC0zLjcwNy0xLjgyOS0zLjcwNy0zLjg3MnoiLz48cGF0aCBmaWxsPSIjMjE5QjM4IiBkPSJNMzkuMjExIDE3LjIyNSA1MiAyMi40OHYtNS4yNTV6Ii8+PHBhdGggZmlsbD0iI0ZGRiIgZD0iTTIwLjEyIDMxLjk3NWMwLS44MTcuNjYyLTEuNDc1IDEuNDgzLTEuNDc1aDE3Ljc5NGMuODIxIDAgMS40ODIuNjU4IDEuNDgyIDEuNDc1djE1LjQ4N2MwIC44MTgtLjY2MSAxLjQ3NS0xLjQ4MiAxLjQ3NUgyMS42MDNhMS40NzYgMS40NzYgMCAwIDEtMS40ODItMS40NzRWMzEuOTc0em0yLjIyNSAxLjQ3NWg2LjY3MnYyLjIxMmgtNi42NzJ6bTAgNS4xNjJoNi42NzJ2Mi4yMTNoLTYuNjcyem0wIDUuMTYzaDYuNjcydjIuMjEyaC02LjY3MnptOS42MzgtMTAuMzI1aDYuNjcydjIuMjEyaC02LjY3MnptMCA1LjE2Mmg2LjY3MnYyLjIxM2gtNi42NzJ6bTAgNS4xNjNoNi42NzJ2Mi4yMTJoLTYuNjcyeiIvPjxwYXRoIGZpbGw9IiMyOEI0NDYiIGQ9Ik0zNC42OSAwIDUxIDE2LjIyNXYzOS4wODdhMy42NyAzLjY3IDAgMCAxLTEuMDg0IDIuNjFBMy43IDMuNyAwIDAgMSA0Ny4yOTMgNTlIMTEuNzA3YTMuNyAzLjcgMCAwIDEtMi42MjMtMS4wNzhBMy42NyAzLjY3IDAgMCAxIDggNTUuMzEyVjMuNjg4YTMuNjcgMy42NyAwIDAgMSAxLjA4NC0yLjYxQTMuNyAzLjcgMCAwIDEgMTEuNzA3IDB6Ii8+PHBhdGggZmlsbD0iIzZBQ0U3QyIgZD0iTTM0LjY5IDAgNTEgMTYuMjI1SDM4LjM5N2MtMi4wNTQgMC0zLjcwNy0xLjgyOS0zLjcwNy0zLjg3MnoiLz48cGF0aCBmaWxsPSIjMjE5QjM4IiBkPSJNMzguMjExIDE2LjIyNSA1MSAyMS40OHYtNS4yNTV6Ii8+PHBhdGggZmlsbD0iI0ZGRiIgZD0iTTE5LjEyIDMwLjk3NWMwLS44MTcuNjYyLTEuNDc1IDEuNDgzLTEuNDc1aDE3Ljc5NGMuODIxIDAgMS40ODIuNjU4IDEuNDgyIDEuNDc1djE1LjQ4N2MwIC44MTgtLjY2MSAxLjQ3NS0xLjQ4MiAxLjQ3NUgyMC42MDNhMS40NzYgMS40NzYgMCAwIDEtMS40ODItMS40NzRWMzAuOTc0em0yLjIyNSAxLjQ3NWg2LjY3MnYyLjIxMmgtNi42NzJ6bTAgNS4xNjJoNi42NzJ2Mi4yMTNoLTYuNjcyem0wIDUuMTYzaDYuNjcydjIuMjEyaC02LjY3MnptOS42MzgtMTAuMzI1aDYuNjcydjIuMjEyaC02LjY3MnptMCA1LjE2Mmg2LjY3MnYyLjIxM2gtNi42NzJ6bTAgNS4xNjNoNi42NzJ2Mi4yMTJoLTYuNjcyeiIvPjwvZz48L3N2Zz4="
},
"displayName": "Google Sheets",
"typeVersion": 5,
"nodeCategories": [
{
"id": 3,
"name": "Data & Storage"
},
{
"id": 4,
"name": "Productivity"
}
]
},
{
"id": 356,
"icon": "file:gmail.svg",
"name": "n8n-nodes-base.gmail",
"codex": {
"data": {
"alias": [
"email",
"human",
"form",
"wait",
"hitl",
"approval"
],
"resources": {
"generic": [
{
"url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
"icon": "🧬",
"label": "Why business process automation with n8n can change your daily life"
},
{
"url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/",
"icon": "🎫",
"label": "Supercharging your conference registration process with n8n"
},
{
"url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
"icon": "store",
"label": "6 e-commerce workflows to power up your Shopify s"
},
{
"url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
"icon": "👥",
"label": "How to get started with CRM automation (with 3 no-code workflow ideas"
},
{
"url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
"icon": "💡",
"label": "15 Google apps you can combine and automate to increase productivity"
},
{
"url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
"icon": " 🖥️",
"label": "Hey founders! Your business doesn't need you to operate"
},
{
"url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/",
"icon": "💪",
"label": "Using Automation to Boost Productivity in the Workplace"
}
],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/"
}
],
"credentialDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
}
]
},
"categories": [
"Communication",
"HITL"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"HITL": [
"Human in the Loop"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Gmail"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Gmail",
"typeVersion": 2,
"nodeCategories": [
{
"id": 6,
"name": "Communication"
},
{
"id": 28,
"name": "HITL"
}
]
},
{
"id": 565,
"icon": "fa:sticky-note",
"name": "n8n-nodes-base.stickyNote",
"codex": {
"data": {
"alias": [
"Comments",
"Notes",
"Sticky"
],
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers"
]
}
}
},
"group": "[\"input\"]",
"defaults": {
"name": "Sticky Note",
"color": "#FFD233"
},
"iconData": {
"icon": "sticky-note",
"type": "icon"
},
"displayName": "Sticky Note",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 834,
"icon": "file:code.svg",
"name": "n8n-nodes-base.code",
"codex": {
"data": {
"alias": [
"cpde",
"Javascript",
"JS",
"Python",
"Script",
"Custom Code",
"Function"
],
"details": "The Code node allows you to execute JavaScript in your workflow.",
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
}
]
},
"categories": [
"Development",
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers",
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Code"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Code",
"typeVersion": 2,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 839,
"icon": "fa:clock",
"name": "n8n-nodes-base.scheduleTrigger",
"codex": {
"data": {
"alias": [
"Time",
"Scheduler",
"Polling",
"Cron",
"Interval"
],
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\",\"schedule\"]",
"defaults": {
"name": "Schedule Trigger",
"color": "#31C49F"
},
"iconData": {
"icon": "clock",
"type": "icon"
},
"displayName": "Schedule Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1119,
"icon": "fa:robot",
"name": "@n8n/n8n-nodes-langchain.agent",
"codex": {
"data": {
"alias": [
"LangChain",
"Chat",
"Conversational",
"Plan and Execute",
"ReAct",
"Tools"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Agents",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "AI Agent",
"color": "#404040"
},
"iconData": {
"icon": "robot",
"type": "icon"
},
"displayName": "AI Agent",
"typeVersion": 3,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1262,
"icon": "file:google.svg",
"name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Language Models",
"Root Nodes"
],
"Language Models": [
"Chat Models (Recommended)"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Google Gemini Chat Model"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Google Gemini Chat Model",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1289,
"icon": "fa:brain",
"name": "@n8n/n8n-nodes-langchain.toolThink",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolthink/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Tools"
],
"Tools": [
"Other Tools"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Think"
},
"iconData": {
"icon": "brain",
"type": "icon"
},
"displayName": "Think Tool",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
}
],
"categories": [
{
"id": 35,
"name": "Document Extraction"
},
{
"id": 49,
"name": "AI Summarization"
}
],
"image": []
}
}