Redflag

Name: Redflag Introduction Video
Uploaded: 2024-04-04T17:24:04Z
Duration: 1 min 33 s
Description: Automatically detect and cancel fraudulent orders.

Redflag

Develop by Shopify

/ Month

3 Days Free Trial

Automatically detect and cancel fraudulent orders.

Order tagging

Order cancellation

Customizable rules

Automatic fraud detection

Advanced protection

About Redflag

Launched Nov 11, 2025

Built by Shopify

Address

博多区博多駅前二丁目19番17号, トーカン博多第5ビル312号室, 福岡市, JP-40, 812-0011, JP

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Introduction Video

Description

Redflag сверява клиентските номера с база репорти за разпознаване на рискови клиенти.

Redflag автоматично проверява телефонните номера на клиентите при всяка нова поръчка, като ги сравнява с база данни от репорти за рискови клиенти. Ако има съвпадения, поръчката се маркира с таг и се добавя информация в бележките. Търговците могат да видят всички репорти директно в Shopify. Приложението показва статистика, визуални индикатори и модален прозорец с детайлни данни и дати.

Автоматична проверка на телефонните номера при всяка нова поръчка.
Ясни визуални тагове, които показват налични репорти с един поглед.
Подробна информация за всички доклади, показана в прозорец с дати и детайли.

Pros

Automatically detects and cancels high-risk orders, reducing the risk of fraudulent transactions.
Saves time by automating the process of managing high-risk orders, eliminating the need for manual review.
Refunds or voids customer payments automatically, minimizing financial loss from chargebacks.
Restocks inventory automatically when an order is canceled, maintaining accurate stock levels.
Allows premium members to create custom rules for tagging and handling orders, offering flexibility to meet specific business needs.
Helps prevent chargebacks by proactively managing fraudulent orders.
Customizable fraud validation rules allow businesses to tailor the app to their specific risk profiles.

Cons

Might rely heavily on the app's accuracy in detecting fraud, which could lead to false positives.
Potential inconvenience for legitimate customers if their orders are incorrectly flagged as fraudulent.
Complex setup for creating custom rules might require technical expertise or a learning curve for new users.
Limited features available for non-premium users, possibly leading to additional costs for full functionality.