{"workflow":{"id":13872,"name":"Analyze Shopify orders with Gemini AI and send weekly Slack insights","views":115,"recentViews":1,"totalViews":115,"createdAt":"2026-03-04T22:14:33.208Z","description":"## Who is this for\n\nE-commerce store owners and sales managers who want AI-powered insights from their Shopify data without manually crunching numbers every week.\n\n## What it does\n\nThis workflow automatically analyzes your Shopify sales performance every Monday morning and delivers intelligent insights via Slack and email. It pulls the last 7 days of orders, calculates key metrics (revenue, order count, average order value), and sends the data to Gemini AI for trend analysis and actionable recommendations.\n\nThe AI identifies patterns in your sales data and provides specific suggestions for improving performance. All metrics are logged to Google Sheets for historical tracking, and the team receives instant alerts when revenue drops more than 20% compared to the previous week.\n\n## How to set up\n\n1. Connect your Shopify store with order read permissions\n2. Add your Gemini API key for AI analysis\n3. Set up Slack integration and choose your target channels (#sales and #alerts)\n4. Configure Gmail credentials for stakeholder email reports\n5. Create a Google Sheets document with a \"Weekly Metrics\" tab for data tracking\n6. Update the email recipients and spreadsheet ID in the respective nodes\n\n## Requirements\n\n- Shopify store with API access\n- Google Gemini API key\n- Slack workspace\n- Gmail account\n- Google Sheets access\n\n## How to customize\n\nAdjust the revenue drop threshold in the IF node (default: 20%), modify the schedule frequency, customize Gemini prompts for different analysis types, or add additional Slack channels for department-specific reports.","workflow":{"meta":{"instanceId":"0fd24758e45cbed1f63c03b9ca7326acab4b855985945af441ee95f8874d3e22"},"nodes":[{"id":"361be7b7-c6fa-44c1-bded-3a7bd938adeb","name":"Overview","type":"n8n-nodes-base.stickyNote","position":[-864,272],"parameters":{"width":380,"height":730,"content":"## Weekly Shopify sales analysis with Gemini AI\n\nThis workflow analyzes your Shopify sales data weekly and provides AI-powered insights via Slack and email.\n\n### How it works\n1. **Data collection**: Pulls last 7 days of Shopify orders every Monday morning\n2. **Analysis**: Aggregates sales metrics (revenue, top products, order count)\n3. **AI insights**: Sends data to Gemini AI for trend analysis and recommendations\n4. **Reporting**: Delivers insights via Slack channel and email to stakeholders\n5. **Tracking**: Logs metrics to Google Sheets for historical analysis\n6. **Alerts**: Notifies team if revenue drops >20% from previous week\n\n### Setup steps\n1. Configure Shopify credentials with order read permissions\n2. Set up Gemini API key for AI analysis\n3. Connect Slack workspace and choose target channel\n4. Add Gmail credentials for email reports\n5. Create Google Sheets for data tracking\n6. Adjust revenue threshold in the filter node\n\n### Customization\n- Change schedule frequency in the trigger\n- Modify revenue drop threshold (default: 20%)\n- Customize Gemini prompts for different analysis types\n- Add more Slack channels for department-specific reports"},"typeVersion":1},{"id":"1d828bd4-71c8-4d37-8d49-f7751605536b","name":"Data Collection","type":"n8n-nodes-base.stickyNote","position":[-464,272],"parameters":{"color":7,"width":214,"height":588,"content":"## Data collection\nFetch orders from Shopify"},"typeVersion":1},{"id":"499d660b-aa8f-4e4c-9132-f3383a14939b","name":"Processing","type":"n8n-nodes-base.stickyNote","position":[-224,272],"parameters":{"color":7,"width":360,"height":588,"content":"## Data processing\nAggregate sales metrics and prepare for AI analysis"},"typeVersion":1},{"id":"7cfe7c29-8b39-442e-91bc-d71d9532d9c4","name":"AI Analysis","type":"n8n-nodes-base.stickyNote","position":[160,272],"parameters":{"color":7,"width":200,"height":588,"content":"## AI analysis\nGemini AI analyzes trends and provides insights"},"typeVersion":1},{"id":"1efb9a8f-06ff-4244-aa0e-da884b40a0ed","name":"Reporting","type":"n8n-nodes-base.stickyNote","position":[384,272],"parameters":{"color":7,"width":760,"height":588,"content":"## Reporting & alerts\nDistribute insights via Slack, email, and track in Google Sheets. Alert on revenue drops."},"typeVersion":1},{"id":"b99f6cc0-c4fe-46ac-bb19-bff96a989ee4","name":"Weekly Monday Trigger","type":"n8n-nodes-base.scheduleTrigger","position":[-400,464],"parameters":{"rule":{"interval":[{"field":"cronExpression","expression":"0 9 * * MON"}]}},"typeVersion":1.2},{"id":"ca1d803a-9e5f-46a9-bd0f-18df642f0031","name":"Get Last 7 Days Orders","type":"n8n-nodes-base.shopify","position":[-176,464],"parameters":{"limit":500,"options":{},"operation":"getAll"},"typeVersion":1},{"id":"7a13da50-3454-4a18-bc47-80b44596cac0","name":"Aggregate Sales Data","type":"n8n-nodes-base.code","position":[0,464],"parameters":{"jsCode":"// Aggregate order data for analysis\nconst orders = $input.all();\n\nlet totalRevenue = 0;\nlet orderCount = orders.length;\nlet productCounts = {};\nlet dailySales = {};\n\norders.forEach(order => {\n const orderData = order.json;\n \n // Calculate revenue\n totalRevenue += parseFloat(orderData.total_price || 0);\n \n // Track daily sales\n const date = orderData.created_at.split('T')[0];\n dailySales[date] = (dailySales[date] || 0) + parseFloat(orderData.total_price || 0);\n \n // Count products\n orderData.line_items?.forEach(item => {\n const productName = item.name;\n productCounts[productName] = (productCounts[productName] || 0) + item.quantity;\n });\n});\n\n// Get top 5 products\nconst topProducts = Object.entries(productCounts)\n .sort(([,a], [,b]) => b - a)\n .slice(0, 5)\n .map(([name, count]) => ({ name, quantity: count }));\n\n// Calculate average order value\nconst avgOrderValue = orderCount > 0 ? (totalRevenue / orderCount).toFixed(2) : 0;\n\n// Previous week for comparison (mock data - would typically come from sheets)\nconst previousWeekRevenue = totalRevenue * 0.95; // Simulated previous week\n\nreturn {\n totalRevenue: totalRevenue.toFixed(2),\n orderCount,\n avgOrderValue,\n topProducts,\n dailySales,\n previousWeekRevenue: previousWeekRevenue.toFixed(2),\n revenueChange: (((totalRevenue - previousWeekRevenue) / previousWeekRevenue) * 100).toFixed(1)\n};"},"typeVersion":2},{"id":"13d1eb98-12ce-4292-ab2b-9d249bf19c10","name":"Gemini Sales Analysis","type":"n8n-nodes-base.httpRequest","position":[208,464],"parameters":{"url":"https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-latest:generateContent","method":"POST","options":{},"sendBody":true,"sendHeaders":true,"authentication":"genericCredentialType","bodyParameters":{"parameters":[{"name":"contents","value":"=[{\"parts\":[{\"text\":\"Analyze this week's Shopify sales data and provide insights:\\n\\nTotal Revenue: ${{ $json.totalRevenue }}\\nOrder Count: {{ $json.orderCount }}\\nAverage Order Value: ${{ $json.avgOrderValue }}\\nRevenue Change from Last Week: {{ $json.revenueChange }}%\\n\\nTop Products:\\n{{ $json.topProducts.map(p => `${p.name}: ${p.quantity} sold`).join('\\n') }}\\n\\nDaily Sales:\\n{{ Object.entries($json.dailySales).map(([date, amount]) => `${date}: $${amount}`).join('\\n') }}\\n\\nPlease provide:\\n1. 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