🛍️ Google Shopping Feed Optimization with Channable + Relevance AI + Google Merchant API

🚀 Automate, Optimize & Sync Your Product Feeds at Scale

🧩 Overview

This workflow automates Google Shopping Feed Optimization using Channable, Relevance AI, and the Google Merchant API.
It runs daily, enhancing product titles and descriptions, validating feed quality, assigning custom campaign labels, and syncing the optimized feed with Google Merchant Center.

The system ensures every product listing meets Google’s content standards, is SEO-friendly, and ready for high-performance Shopping campaigns.

🧠 Key Benefits

✅ Automated daily product feed optimization
✅ AI-enhanced titles and descriptions (via Relevance AI)
✅ Google Merchant API integration (latest version)
✅ Quality scoring and error detection before sync
✅ Custom campaign labels for segmented bidding
✅ Slack alerts for issues and daily summaries
✅ 100% no-code deployment with scalable batch processing

⚙️ System Architecture

🧭 Workflow Logic (Visual Summary)

Daily Trigger (06:00 AM)
⬇️
1️⃣ Get Product Feed (Channable)
Fetches product data for optimization.
⬇️
2️⃣ Data Quality Checks
Validates titles, GTINs, pricing, categories, and descriptions. Assigns quality scores.
⬇️
3️⃣ Split Products
Breaks the all_products array into single items for AI processing.
⬇️
4️⃣ Optimize Title (Relevance AI Tool)
Enhances product titles for SEO, clarity, and Google compliance.
⬇️
5️⃣ Generate Description (Relevance AI Tool)
Creates 300–400 character, benefit-focused product descriptions.
⬇️
6️⃣ Assign Custom Labels
Adds five segmentation labels: margin, performance, seasonality, stock level, and category.
⬇️
7️⃣ Aggregate Products
Combines optimized items into one unified dataset.
⬇️
8️⃣ Upload to Merchant Center (NEW Merchant API)
Publishes products via Google’s latest /products endpoint.
⬇️
9️⃣ Check Product Status
Verifies successful uploads and identifies disapprovals.
⬇️
🔍 Analyze Product Issues
Summarizes errors and warnings from Merchant API results.
⬇️
⚖️ IF Disapprovals Found
→ 🚨 Send Slack alert for issues
→ ✅ Otherwise, post success summary

🧩 Environment Variables

Set these under
n8n → Settings → Variables → Add Variable

🔑 Credential Setup

🧱 Node-by-Node Breakdown

🧰 Testing Procedure

1️⃣ Temporarily disable the cron schedule
2️⃣ Run manually using “Execute Workflow”
3️⃣ Start with 3–5 products
4️⃣ Check:

• Slack → Success message
• Google Merchant → Updated products
• n8n Execution logs → No failed nodes

Once validated → Re-enable the 6 AM trigger

🧾 Example Output

Slack Success Message

✅ Shopping Feed Optimization Complete

📊 Summary:
• Total Products Processed: 135
• Products with Quality Issues: 12
• Disapprovals: 0
• Warnings: 3

🎯 Optimizations Applied:
• Titles optimized for SEO
• Descriptions enhanced
• Custom labels added

API: NEW Merchant API (merchantapi.googleapis.com)
Next Run: Tomorrow 6 AM
Timestamp: 2025-10-22T06:00:00Z

Slack Alert Message

🚨 Merchant Center Disapprovals Alert

Total Disapprovals: 5
Total Warnings: 2

Critical Issues:
• Product: Wireless Headphones (ID: 4829)
  Issue: Missing GTIN
• Product: Yoga Mat Eco (ID: 7350)
  Issue: Invalid price

Action Required: Review disapproved products in Merchant Center.
Timestamp: 2025-10-22T06:00:00Z

📊 Success Metrics

🧩 Maintenance Schedule

🪜 Next Steps

✅ Deploy workflow in production
📈 Connect to your performance dashboard
🌍 Extend to multi-language feeds (Relevance AI translations)
💡 Add conversion optimization loop in Google Ads

🔗 References

• n8n Documentation
• Relevance AI Documentation
• Google Merchant API Docs
• Channable Help Center

🎉 Conclusion

You now have a production-grade, AI-driven Shopping Feed Optimization workflow built on:

• Channable for structured data ingestion
• Relevance AI for content intelligence
• Google Merchant API for publishing
• n8n as the automation engine

💡 Result: A fully autonomous product feed system that self-improves daily, keeping your listings compliant, optimized, and performing at scale.