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Fraud Order Defender
"Instantly cancel and refund high-risk fraud orders automatically."
About Fraud Order Defender
Built by Anncode Solutions
rahul@anncode.com
AddressEPIP Zone, Whitefield, Bangalore, KA, 560066, IN
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Description
Automatically cancel high-risk orders to avoid chargebacks and prevent accidental fulfilment
The app takes the hassle out of dealing with high-risk orders. As soon as a new order comes in, it’s automatically screened using Shopify’s built-in fraud analysis. If flagged as high-risk, the app steps in — canceling the order, restocking the items, and refunding or voiding the payment if needed. You can also choose to notify the customer about the cancellation. Unlike Shopify, which only marks suspicious orders, our app acts on them instantly — saving you time and protecting your business.
- Fraud Order Defender app auto-cancels high-risk orders to prevent chargebacks.
- It restocks items immediately after an order is canceled.
- Payments are refunded or voided without manual steps
- You can notify customers and admins via email if you choose
- Avoid fulfilling fraud orders and save time with automation.
Pros
- Automatically screens and cancels high-risk orders using Shopify’s fraud analysis.
- Instantly restocks items after an order is canceled, reducing inventory management issues.
- Refunds or voids payments automatically, saving time on manual processes.
- Option to notify customers and admins via email about cancellations, enhancing transparency.
- Reduces the risk of chargebacks by preventing the fulfillment of fraudulent orders.
- Saves time by automating the handling of high-risk orders, allowing business owners to focus on other tasks.
Cons
- Over-reliance on automation might lead to legitimate orders being canceled if mistakenly flagged as high-risk.
- Potential customer dissatisfaction if legitimate orders are canceled without proper communication.
- Limited control for merchants over the automatic process, which may not suit all business needs.
- Depends on the reliability of Shopify's fraud analysis, which may not catch all fraudulent activities.
Key Features
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