How to Automatically Sync Shopify Orders to Google Sheets and Slack Using Make.com

Introduction

If you are still copying new Shopify orders into a spreadsheet and then pinging the team in Slack, you are doing work your automation stack should already own. Orders come in, someone on ops refreshes the admin panel, pastes the details into a sheet, then posts a message so fulfilment knows what changed.

That process breaks down fast once order volume climbs. A few missed rows, one forgotten Slack post, and your team starts chasing information instead of picking and packing orders. A Shopify to Google Sheets and Slack automation fixes that by logging each order as it arrives, then pushing the right signal into the right channel.

By the end of this guide, you will know how to build a Shopify order sync in Make.com, how to log the data cleanly in Google Sheets, and how to route exceptions into Slack without flooding your team.

What You'll Need

• A Shopify store with permission to access orders and webhooks
• A Google Sheets spreadsheet with edit access
• A Slack workspace with permission to post into the target channel
• A Make.com account
• A Make.com connection for Shopify, Google Sheets, and Slack
• A clear order-handling process, especially if you want to separate paid, high-value, or risky orders
• A paid Make.com plan if you expect higher scenario volume or need more frequent execution

How It Works

The logic is straightforward: when Shopify creates a new order, Make.com receives the trigger, extracts the order data, writes a row into Google Sheets, then posts a Slack message for the team. In an advanced build, you also add filters so only the orders that matter get escalated, and you can branch to different Slack messages depending on value, payment status, or shipping risk.

This is the same pattern we use in other operational automations, like Slack alerts for finance exceptions and project handoff notifications, just applied to e-commerce order flow.

Step-by-Step Setup

1. Define which orders should trigger the workflow

Before you build the scenario, decide what counts as a useful trigger.

Common options:

• Every new paid order
• Only orders above a certain value
• Only orders containing specific products or tags
• Only orders with a shipping address in a particular country
• Only orders that are not marked as high fraud risk

If you push every single order into Slack, your channel will get noisy quickly. A good operations workflow only escalates the orders your team actually needs to see.

2. Prepare your Google Sheets structure

Create a spreadsheet with a tab for order logging. Keep the columns practical and easy to scan.

A solid starting set is:

• Order ID
• Order number
• Created at
• Customer name
• Email
• Total
• Currency
• Payment status
• Fulfilment status
• Shipping country
• Tags
• Order URL
• Slack notified status

If you want reporting later, add columns for carrier, line item count, and exception reason. Do that now, not after you have 500 rows and no consistency.

3. Create a new scenario in Make.com

In Make.com, create a new Scenario and add Shopify as the first module.

Use the trigger that watches for new orders. In a live build, this is usually the Shopify order-created webhook or the equivalent instant trigger available in the connector.

Make sure you point it at the correct store and confirm the connection is authorised to read order data.

4. Pull the order payload and inspect the fields

Run one test order through Shopify and let Make.com capture the sample payload.

You want to confirm that the trigger includes the fields you need, especially:

• Order ID
• Name or order number
• Customer details
• Total price
• Financial status
• Fulfilment status
• Shipping address
• Tags
• Line items

If you are using Shopify tags to mark wholesale, express, or custom orders, check that those values come through in a format you can filter later.

5. Add a filter for the orders that matter

This is where the workflow becomes useful instead of noisy.

Add a Make.com filter after the Shopify trigger and decide what should continue.

Examples:

• financial_status equals paid
• total_price is greater than 250
• shipping_country is not GB if you want to flag international orders
• tags contains rush or fraud-check
• fulfilment_status is empty if you want only unfulfilled orders

If your team handles wholesale, you can route B2B orders into one path and retail orders into another. That is usually cleaner than trying to cram everything into one message format.

6. Add a Google Sheets row insertion step

Once the order passes your filter, add the Google Sheets module to create a row.

Map the fields carefully. The main mistake here is mismatching Shopify timestamps and totals because you rushed the field mapping.

Use the Shopify order fields for:

• Order ID → Order ID column
• Name or order number → Order number column
• Customer name → Customer name column
• Email → Email column
• Total price → Total column
• Currency → Currency column
• Financial status → Payment status column
• Fulfilment status → Fulfilment status column
• Shipping country → Shipping country column
• Tags → Tags column
• Order URL → Order URL column

If you want the sheet to work as a daily ops dashboard, keep the column order consistent with how your team reads a fulfilment queue.

7. Add a Slack message for the fulfilment team

Now add the Slack module to post a message into the right channel.

A useful format looks like this:

New Shopify order
Order: {{order number}}
Customer: {{customer name}}
Total: {{total}} {{currency}}
Payment: {{financial status}}
Fulfilment: {{fulfilment status}}
Country: {{shipping country}}
Link: {{order URL}}

If the order is high value or tagged rush, include a stronger callout in the message title. If it is a normal order, keep the message short so the channel stays readable.

8. Add a router for different order types

Because this is an advanced build, use a router in Make.com to split the flow.

For example:

• High-value orders go to #ops-priority
• Standard orders go to #fulfilment
• Orders tagged fraud-check go to #ops-review

This is the same routing pattern you would use in a ClickUp to Slack handoff workflow or a finance alert flow. Different events deserve different visibility.

9. Prevent duplicate logging

If you are working with retries or multiple scenario runs, you need a duplicate check.

Use the Shopify order ID as your unique key. Before writing a new row, search Google Sheets for that order ID. If it already exists, stop the scenario or update the row instead of inserting a duplicate.

This matters more than people think. A clean order log is useful. A duplicated order log is just another spreadsheet to clean up.

10. Test with a real Shopify order

Place a genuine test order, then confirm all three parts of the workflow:

• The Shopify trigger fires once
• The Google Sheets row is written with the right fields
• The Slack message reaches the right channel with the right data

Check that currency formatting and date values look right. Shopify stores can return totals in different formats depending on the store setup, so verify those before you turn the automation on.

11. Turn it on and watch the first production orders

Once the test works, activate the scenario and monitor the first few live orders.

Look for:

• Blank shipping fields on digital orders
• Missing tags on older products
• Messages sent to the wrong Slack channel
• Duplicate rows caused by retries

If your store handles mixed fulfilment models, keep an eye on which order types are hitting which branch. That is usually where the first logic mistake shows up.

Real-World Business Scenario

A mid-sized Shopify store selling home goods can use this setup to keep fulfilment and customer service in sync without manual posting. Every new paid order lands in Google Sheets for tracking, while high-value or international orders go straight into Slack for a quick review.

The result is less back-and-forth between operations and warehouse staff, faster exception handling, and a cleaner order history for reporting. If the team is already using Slack for other operational alerts, this fits naturally alongside workflows like invoice escalation alerts and project handoff notifications.

Common Variations

Add a fraud review branch

If Shopify flags an order or your risk filter catches something unusual, route it to a separate Slack channel for manual review before fulfilment starts.

Send only one Slack message per customer

For repeat buyers, you can add logic to suppress Slack alerts unless the order value crosses a threshold or contains a specific tag.

Write separate rows for line items

If your ops team needs SKU-level reporting, expand the workflow so each line item gets its own row in Google Sheets instead of storing one row per order.

Keeping the order flow tidy

You do not need a bulky OMS to get control over Shopify order handling. A well-built Make.com scenario can log orders into Google Sheets, notify Slack with useful context, and route exceptions before they become fulfilment problems.

If you want this built properly across Shopify, Google Sheets, Slack, and the rest of your operations stack, Olmec Dynamics builds these automations for real businesses.