Analyze Shopify orders with Gemini AI and send weekly Slack insights
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (9)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Shopify
n8n-nodes-base.shopify - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set - Slack
n8n-nodes-base.slack - Gmail
n8n-nodes-base.gmail - Google Sheets
n8n-nodes-base.googleSheets - If
n8n-nodes-base.if
What it does
Who is this for E-commerce store owners and sales managers who want AI-powered insights from their Shopify data without manually crunching numbers every week. What it does This 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. The 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. How to set up 1. Connect your Shopify store with order read permissions 2. Add your Gemini API key for AI analysis 3. Set up Slack integration and choose your target channels (sales and alerts) 4. Configure Gmail credentials for stakeholder email reports 5. Create a Google Sheets document with a "Weekly Metrics" tab for data tracking 6. Update the email recipients and spreadsheet ID in the respective nodes Requirements - Shopify store with API access - Google Gemini API key - Slack workspace - Gmail account - Google Sheets access How to customize Adjust 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.