Assessing Order Risk with Fraud Analysis
Fraud analysis is an order risk assessment service provided by SHOPLINE to help merchants identify orders that may carry potential fraud risks. Powered by advanced machine learning algorithms trained on a large volume of transaction data across SHOPLINE stores, this feature continuously evolves to improve accuracy as technology advances.
By analyzing multiple order indicators, the system delivers valuable risk insights to help you further review suspicious orders and make more informed fulfillment decisions. This can effectively reduce losses caused by malicious chargebacks and help prevent more serious consequences, such as payment functionality being disabled.
This article explains how to view Fraud analysis results for an order and introduces risk levels, fraud indicators, and recommended actions to help you make safer order-handling decisions.
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Viewing Fraud Analysis for an Order
To view the fraud analysis results for an order, follow these steps:
| Note: Fraud analysis results are typically generated immediately. In rare cases, the analysis may take 1–2 hours to complete. If results are not displayed, try refreshing the page or checking again later. We recommend waiting until the fraud analysis is complete before fulfilling the order to reduce potential risk. |
- From your SHOPLINE admin panel, go to Orders.
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Orders flagged as medium or high risk will display an exclamation mark next to the order number. Click the order you want to review.
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On the order details page, locate the Fraud analysis section.
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Based on the evaluation of the fraud indicators, SHOPLINE provides a risk level for the order. Click View complete analysis to see detailed information.
Understanding Fraud Risk Levels and Indicators
SHOPLINE's fraud analysis evaluates multiple indicators to determine an order's risk level. This assessment is for reference only, and we recommend reviewing it alongside the guidance below:
- Low-risk orders (Green bar): These orders have a low likelihood of fraud and are generally safe to fulfill. Unless there are unusual circumstances, you may proceed with shipping.
- Medium-risk orders (Yellow bar): These orders show some indicators of potential fraud and may be more likely to result in refunds or disputes. We recommend contacting the customer to verify their identity before shipping.
- High-risk orders (Red bar): These orders have a high likelihood of refunds or disputes. If you cannot verify the authenticity of the order, we strongly recommend canceling it and refraining from shipping.
If a risk level is not displayed, you can still assess the order risk by clicking View complete analysis and reviewing the fraud indicators shown there. Details about these indicators are explained in the next section.
Fraud Indicators Explained
In the Fraud analysis section, click View complete analysis to review multiple fraud indicators associated with the order. These indicators provide investigative clues but do not constitute direct proof of fraud.
Indicators may include (but are not limited to):
- Similarity to previously identified fraudulent orders
- Whether the customer-provided CVV code is correct
- Number of card attempts
- Number of card detail attempts
- Email validity assessment
- IP risk evaluation
- Consistency between order IP and shipping country
- Country or region of the order IP
- Match between billing country and order country
- Multiple payment cards using the same shipping address
| Note: Not all orders display every indicator. Only indicators with relevant or detectable information will appear. |
Indicator Color Legend
Each fraud indicator is marked with a color icon representing its risk level:
- Green: Low risk
- Yellow: Medium risk
- Red: High risk
- Gray: Insufficient or unavailable data for evaluation
API Documentation for Order Risk Management
For details on order risk-related APIs, refer to the documentation below:
- Add risk fraud
- Update order risk fraud
- Delete all risk fraud related to the order
- Remove the specify of the order risk fraud
- Get fraud risks for an order
- Query risk fraud for order specify