What’s missing from today’s Shopify fraud apps?

Shopify Apps
1

I’m a Shopify app developer building fraud prevention and chargeback reduction tools for merchants. For anyone already using a fraud detection or order risk app, which features are genuinely useful, and what still feels manual, confusing, or missing? I’d appreciate candid feedback on what would make these tools more useful.

2

For charge-back defense packet

From Shopify API:

  1. Order and customer data
  2. Address Comparision
  3. Risk Analysis
  4. Geolocation data
  5. Timeline
  6. AVS
  7. Shop Protect if applicable

Third party APIs if you can afford it:

  1. Delivery tracking
  2. Geolocation such as MaxMind

Others

  1. Checkout flow and policy screenshots
  2. Communications
  3. Notes
  4. Appendix

Beyond the basics, it’s more about how it’s packaged. Don’t bore with unimportant things and don’t make them hunt for the info they need. Cover page, summary, and toc is probably a good idea.

3

HI @AlogramAI

One feature I find particularly valuable is a clear explanation of why an order is considered risky, rather than just assigning a low, medium, or high-risk score. Knowing which signals contributed to the decision makes it much easier to review an order confidently.

I also think there’s room for improvement in automation. Features like customizable risk rules, automatic holds for high-risk orders, review queues, and integrations with Shopify Flow can save merchants a lot of manual work. At the same time, reducing false positives is just as important as flagging too many legitimate orders, which creates unnecessary friction and can impact the customer experience.

Finally, having reporting that shows chargeback trends, common fraud patterns, and the effectiveness of fraud rules over time would help merchants refine their strategy instead of reacting to individual orders.

5

Another Shopify app dev here. Since prevention had been discussed, I can give you my insight on verification. From working with merchants, I know that verification of mismatching information (e.g. location, identity) is a manual process. A feature that sends a notification to flagged customers to ask for an ID giving them the opportunity to verify their identity is very useful in a scenario like this. It will save a chunk of time for the merchants as most don’t want to lose business if the order’s legitimate.