Make.com E-commerce

The E-Commerce Automation Stack

The highest-ROI Make.com automations for e-commerce businesses:

1. Order processing — notify teams, update inventory, trigger fulfillment
2. Customer communication — order confirmations, shipping updates, delivery notifications
3. Abandoned cart recovery — email sequences triggered by cart abandonment events
4. Review requests — automated post-delivery review requests
5. Inventory management — low stock alerts, automatic reorder requests
6. Returns processing — return request to refund automation

These scenarios remove hours of daily operations work and ensure nothing falls through the cracks.

Order Processing Automation

Scenario: New Shopify order → multi-system update

1. Shopify trigger: "Watch orders" (new order placed)
2. Router: Branch by order type

- Standard → Fulfillment track - Subscription → Subscription management track - International → International fulfillment track (different carrier)

1. Fulfillment track:

- HTTP Request to fulfillment API (ShipStation, ShipBob): create shipment request - Airtable: log order to operations tracker - Slack: notify warehouse team with order details

1. Accounting:

- QuickBooks/Xero: create invoice or sales order

1. CRM update:

- HubSpot Update Contact: record purchase (last order date, total spent)

Every new order is processed consistently, across all systems, within seconds.

Abandoned Cart Recovery

Scenario: Abandoned cart → recovery email sequence

Most e-commerce platforms have built-in abandoned cart emails, but Make.com allows more sophisticated sequences:

1. Shopify webhook: Abandoned checkout event (fires 10 minutes after cart abandonment if the customer provided an email)
2. Filter: Email provided AND cart value > $50 (below threshold, skip)
3. HubSpot Search Contact: Find or create the contact
4. Router: First abandonment vs. repeat abandoner

- First abandonment: - Wait 1 hour (Sleep module) - HubSpot Enroll in Email Sequence: "Abandoned Cart Recovery" sequence with discount offer - Repeat abandoner: - Send targeted email with larger discount - Create HubSpot task: "High-value abandoner — personal outreach"

1. Airtable: Log abandonment event for reporting

Customer Review Requests

Scenario: Order delivered → review request

1. Shopify or ShipStation trigger: Order status updated to "Delivered"
2. Wait: 3 days after delivery (Make.com can handle multi-day delays via scheduling patterns)
3. HubSpot Send Email: Personalised review request email with:

- Customer name - Product name and image - Direct link to review platform (Google, Trustpilot, or platform-native review)

1. Router: Opened vs. not opened (after 5 days)

- Not opened → send follow-up reminder - Opened but no review → different follow-up

1. Airtable: Log review request sent

Inventory Management

Scenario: Low stock alert and reorder

1. Schedule trigger: Daily at 8 AM
2. Shopify: Get Products — fetch all product inventory levels
3. Iterator: Process each product
4. Filter: Inventory level < reorder threshold
5. For each low-stock product:

- Slack alert: "[Product name] is at [N] units — below threshold of [T]" - Create Airtable record in "Reorder Queue" table with product details - If configured: HTTP Request to supplier API to place reorder

1. Aggregator + Slack: Daily summary of all low-stock items

Return Processing

Scenario: Return request → refund and CRM update

1. Webhook: Return request form submission (or e-commerce platform webhook)
2. Shopify: Get Order — fetch the original order details
3. Router: Return reason

- Defective → Create replacement order + refund - Changed mind → Create refund only (standard policy) - Wrong item shipped → Create replacement + refund + alert operations team

1. Shopify: Create Refund — process the refund
2. HubSpot Create Note: Log return reason on contact record
3. Gmail: Send return confirmation email to customer
4. Airtable: Log to returns tracker for reporting

Product Review Aggregation

Scenario: Monitor reviews across platforms

1. Schedule trigger: Every 6 hours
2. HTTP Request to Trustpilot/Google Business API: Fetch new reviews
3. Filter: New reviews only (compare to last processed ID stored in Data Store)
4. For each new review:

- Router: 1-2 stars vs. 3-5 stars - Low rating: Slack alert to #customer-success + create HubSpot task - High rating: Log to testimonials Airtable table, add to marketing queue

1. Update Data Store: Record last processed review ID

Recommended Tools

• Make.com — Automation platform for e-commerce workflows
• Shopify — E-commerce platform with strong Make.com integration
• HubSpot — CRM for customer purchase history
• Airtable — Operations tracking database
• Klaviyo — Email marketing with Make.com integration
• Slack — Operations team alerts