Automate Shopify orders into Google Sheets and Monday.com with Make.com. Learn trigger setup, field mapping, dedupe, routing, and alerts for reliable workflows.

Introduction

If you still juggle Shopify orders across a spreadsheet and a dozen chat messages, you know the pain. Data arrives in Shopify, your ops sheet lags behind, and someone copies updates into Monday.com after the fact. The risk of misalignment climbs during peak season, orders scale, and you end up with a messy mix of statuses, missing links, and duplicated work. This guide shows you how to wire Shopify orders into Google Sheets and Monday.com using Make.com so data arrives once, updates reliably, and surfaces the right signals to the right people.

By the end you’ll know how to build a single Make.com scenario that writes to Sheets, upserts Monday.com items, and posts targeted Slack alerts when action is required. This is the kind of end-to-end automation that reduces manual admin and accelerates fulfillment. For broader patterns you can read about Cross-Platform Automation in our guide Cross-Platform Automation (XPA).

For a quick peek at related patterns, see our Shopify to Google Sheets and Slack integration in this post and our ShipStation to Monday.com workflow here.

What You'll Need

A Shopify store with order data accessible via webhooks or the Make.com Shopify module
A Google Sheets spreadsheet ready to receive order data
A Monday.com board configured for orders with meaningful columns (Order ID, Customer, Total, Status, Link, etc.)
A Make.com account with connections to Shopify, Google Sheets, and Monday.com
A Slack workspace for alerts (optional but recommended)

Note: This workflow benefits from a paid Make.com plan to handle webhooks, multiple actions, and Monday.com API calls at scale.

How It Works (The Logic)

Trigger: a new Shopify order arrives (or an update to an existing order). Action: the workflow writes essential data to Google Sheets, then upserts a corresponding item on Monday.com. A smart router decides whether to post a Slack alert or simply log the event. The dedupe logic runs first to avoid duplicates, and fields are mapped to keep Sheets and Monday.com in sync with the Shopify source of truth.

This pattern gives you a single source of truth for fulfillment data while providing fast visibility to teams in Sheets, a structured view in Monday.com, and targeted alerts in Slack when intervention is needed. See how this pattern ties into other workflows in our XPA guide.

For related automation patterns you can reuse, check our guides on Shopify to Google Sheets and Slack and on ShipStation to Monday.com for deeper routing scenarios. See links in the related posts section above for quick references to those patterns.

Step-by-Step Setup

Create a Make.com Scenario and add a Shopify trigger

Use the trigger that matches your store needs (New Order is the common start). Connect your Shopify store and test with a real or sandbox order.
Ensure you pull key fields: order_id, order_number, created_at, customer details, total_price, currency, financial_status, fulfillment_status, line_items (or a summary), and order_url.

Add Google Sheets module to log the order

Action: Create Row in Google Sheets.
Map fields to a clean sheet: Order ID, Order Number, Created At, Customer Name, Email, Total, Currency, Financial Status, Fulfillment Status, Shipping Country, Line Items Summary, Order URL, and a Run Timestamp.
If you want to support updates, plan to use Google Sheets: Search Rows first to detect existing rows by Order ID before deciding to Add Row or Update Row.

Implement idempotent logging with a dedupe key

In Make.com add a Tools step to compute a dedupe_key using Shopify order_id and created_at. Store or check this key in Google Sheets or a small data store so retries do not produce duplicates.

Upsert Monday.com items

Add a Monday.com module and search for an item by external ID equal to the Shopify Order ID. If found, update relevant fields; if not, create a new item.
Field mappings typically include: external_id (Shopify Order ID), title (Order Number or a composite), customer, total, currency, status, last_updated, and a link to the Shopify order.
If you use a dedicated status field in Monday.com, map Shopify fulfillment_status to your local status labels like Unfulfilled, Partially Fulfilled, and Fulfilled.

Route signals to Slack for high visibility (optional)

Add a Slack action to post a message when a significant event occurs, such as a high-value order or a change in fulfillment that requires immediate attention.
A concise format works best, for example: New order {order_number} for {customer_name} totaling {total} {currency}. Link: {order_url}

Edge cases and error handling

Add error branches to catch API limits, 429s, or missing fields. Route errors to a dedicated Slack channel or a debugging sheet with a clear run ID.
Consider a backoff strategy for Make.com or a retry limiter so you do not flood channels during spikes.

Testing and validation

Create a test order in Shopify and ensure a single row is added to Sheets and a single item is created in Monday.com.
Update the same order and confirm the Sheets row updates and the Monday.com item reflects the new status.
Verify Slack alerts only fire when they should, avoiding noise.

Deploy and monitor

Turn on the scenario and watch the first production run. Monitor for rate limits, field mapping errors, and mismatches between Sheets and Monday.com.
Set up a simple weekly health check to confirm data parity across the systems.

Validate with real-world constraints

Some teams prefer to keep a separate Notion or BI layer for analytics. If you want deeper analytics or a row-level audit trail, you can extend this flow to push a summary into a data warehouse or a BI-friendly sheet as a separate branch.

Real-World Business Scenario

A mid-size apparel brand used this exact pattern to align order data between Shopify, Sheets, and a Monday.com fulfillment board. The workflow eliminated 30–40 minutes of manual data entry per order batch and reduced misalignment between order status in Sheets and the board. Slack alerts helped the team catch edge cases quickly, reducing fulfillment delays during peak promos. If you want a turnkey version for your stack, Olmec Dynamics builds these automations with runbooks and monitoring. See what we do at Olmec Dynamics.

Common Variations

Add a per-line item breakdown in Sheets for more granular reporting or a separate Notion page for each order with line items listed.
Extend Monday.com with a separate board for returns or refunds and automate status propagation across boards.
Create a daily digest in Slack with a summary of all new orders and any high-priority items to speed up triage.

What this means for your team

You now have an end-to-end automation that keeps Shopify orders in Sheets and on a Monday.com board with reliable dedupe and routing. The result is faster visibility, fewer manual touchpoints, and a cleaner audit trail. If you want this level of automation built and maintained for your business, Olmec Dynamics can tailor it to your stack. Learn more about our practice at Olmec Dynamics.

For broader context on how these patterns fit into larger automation strategies, explore our Cross-Platform Automation guide referenced earlier in this post.

Automating Shopify Orders to Google Sheets and Monday.com with Make.com