Streamline Fraud Detection with Shopify Flow

Streamline Fraud Detection with Shopify Flow

Table of Contents:

  1. Introduction
  2. Understanding Fraudulent Orders 2.1 Importance of Fraud Detection 2.2 Challenges with High Order Volume
  3. Shopify Flow: An Overview 3.1 Introduction to Shopify Flow 3.2 Benefits of Using Shopify Flow
  4. Creating a Workflow 4.1 Installing Shopify Flow App 4.2 Accessing the Workflow Canvas 4.3 Setting up the Trigger 4.4 Defining Order Conditions 4.5 Handling Fraudulent Orders 4.5.1 Sending Alert Emails 4.5.2 Tagging Fraudulent Orders
  5. Customizing and Optimizing Fraud Detection 5.1 Personalizing Alert Emails 5.2 Using Template Variables 5.3 Additional Information for Fraud Analysis
  6. Alternative Approaches 6.1 Using Dedicated Inboxes 6.2 Implementing Order Tagging System
  7. Conclusion
  8. FAQs

Article: How to Effectively Detect and Handle Fraudulent Orders with Shopify Flow


In the ever-expanding world of e-commerce, fraudulent orders pose a significant risk to businesses. As order volumes increase, it becomes challenging to manually review every order for potential fraud. However, with the power of automation, Shopify Flow offers a solution to detect and handle fraudulent orders efficiently. In this article, we will explore how Shopify Flow can help businesses stay on top of fraudulent activities, providing insights into its setup and customization options.

Understanding Fraudulent Orders

Importance of Fraud Detection

Fraudulent orders can result in financial losses, damage to reputation, and increased chargeback rates for businesses. Detecting and preventing these orders is crucial to maintain a secure and trustworthy online store. Unfortunately, manually reviewing each order becomes impractical as the order volume grows.

Challenges with High Order Volume

Businesses experiencing high order volumes face the challenge of efficiently identifying fraudulent orders. With hundreds or thousands of orders coming in daily, traditional methods of fraud detection fall short. This necessitates the use of automated tools like Shopify Flow to streamline the process and improve efficiency.

Shopify Flow: An Overview

Introduction to Shopify Flow

Shopify Flow is a powerful automation app offered by Shopify that allows businesses to create custom workflows. These workflows automate repetitive tasks and help streamline operations, including order processing, inventory management, and fraud detection. With Shopify Flow, businesses can save time and resources while ensuring a secure and efficient order management process.

Benefits of Using Shopify Flow

Using Shopify Flow provides several benefits when it comes to detecting and handling fraudulent orders. Firstly, it allows businesses to set up alerts and notifications whenever an order matches specific predefined parameters. This ensures that businesses are promptly informed about potentially fraudulent activities. Additionally, Shopify Flow allows for customization, making it adaptable to unique business needs. Businesses can create personalized email alerts or tags that provide relevant information for fraud analysis.

Creating a Workflow

Installing Shopify Flow App

To start using Shopify Flow, businesses need to install the app from the Shopify App Store. Once installed, it integrates seamlessly with the existing Shopify dashboard, simplifying the workflow creation process.

Accessing the Workflow Canvas

After installation, access the Shopify Flow app and click on "Create Workflow." The workflow canvas will be displayed, providing an intuitive interface to build and customize workflows.

Setting up the Trigger

The first step in creating a fraud detection workflow is to define the trigger, which activates the workflow whenever a new order is created. Select the "Order Created" trigger to initiate the detection process.

Defining Order Conditions

To identify fraudulent orders, specific conditions need to be set. By adding a condition to the workflow, businesses can specify the risk level. For example, selecting "Medium" as the risk level will focus the workflow on orders with a medium potential for fraud.

Handling Fraudulent Orders

Sending Alert Emails

One approach to handling fraudulent orders is to send alert emails to a dedicated inbox. Adding an action to the workflow allows businesses to select the "Send Email" option. By customizing the email content and using variables such as customer order email, payment status, and additional relevant information, businesses can provide their fraud analysis team or customer service with valuable insights.

Tagging Fraudulent Orders

Alternatively, businesses can choose to tag fraudulent orders for easy identification and review. Adding another action to the workflow enables the "Add Order" option, where businesses can select a fraud tag, such as "Fraud Medium." This automatically tags the order, simplifying the process of filtering and reviewing orders.

Customizing and Optimizing Fraud Detection

Personalizing Alert Emails

While sending alert emails to a dedicated inbox, businesses can customize the email template to suit their requirements. By using personalized messages, businesses can convey the urgency and importance of fraud detection to the fraud analysis team or customer service.

Using Template Variables

Shopify Flow provides template variables that can be inserted into alert emails. These variables fetch data from the order, such as customer details, payment status, shipping information, and more. Utilizing template variables allows businesses to provide comprehensive information for effective fraud analysis and decision-making.

Additional Information for Fraud Analysis

Besides the essential order details, businesses can incorporate additional information that assists their fraud analysis team. This can include data points like customer history, transaction patterns, previous fraud incidents, or any other relevant insights. By utilizing Shopify Flow's flexibility, businesses can consider the specific needs of their organization and tailor the fraud detection workflow accordingly.

Alternative Approaches

Using Dedicated Inboxes

Instead of sending alert emails to a dedicated inbox, businesses may choose to create dedicated inboxes specifically for fraudulent orders. This approach ensures that all relevant stakeholders have access to the necessary information and can collaborate efficiently for accurate fraud analysis.

Implementing Order Tagging System

In addition to alert emails, businesses can rely solely on the order tagging system provided by Shopify Flow. By directly tagging fraudulent orders with predefined tags, businesses can visualize and manage these orders effectively. This approach eliminates the need for additional emails and ensures a streamlined fraud detection workflow.


Fraudulent orders pose a significant threat to businesses operating in the e-commerce landscape. Fortunately, Shopify Flow offers a powerful solution to detect and handle fraudulent activities efficiently. By leveraging the automation capabilities of Shopify Flow, businesses can optimize their fraud detection processes, saving time, resources, and mitigating risks. With customization options and the ability to adapt to changing needs, Shopify Flow empowers businesses to maintain a secure and trustworthy online store.


Q: Can Shopify Flow detect different levels of fraud risk? A: Yes, with Shopify Flow, businesses can define multiple risk levels such as low, medium, and high, allowing for more nuanced fraud detection.

Q: Can I send alert emails to multiple recipients? A: Absolutely. The flexibility of Shopify Flow enables businesses to send alert emails to multiple recipients, ensuring all relevant stakeholders are notified.

Q: Is Shopify Flow suitable for small businesses with low order volume? A: Yes, Shopify Flow can benefit businesses of all sizes. Even with low order volumes, the automation features of Shopify Flow can streamline processes and enhance fraud detection capabilities.

Q: Can I customize the fraud tags in Shopify Flow? A: Yes, businesses can create custom tags within Shopify Flow, aligning them with their internal fraud analysis and management systems.

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