Risko – COD Risk Scanner

Develop by Shopify

$39-$109

/ Month

3 Days Free Trial

AI-powered app for detecting high-risk COD orders in Shopify stores.

Email alerts

Performance dashboard

Ai-powered risk scoring

Real-time risk detection

Custom sensitivity settings

About Risko – COD Risk Scanner

Launched Aug 18, 2025

Built by Shopify

Address

151 O’Connor St, Ottawa, ON, ON, CA

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Description

Detect high-risk COD orders in real time and reduce costly returns.

Risko helps Shopify stores reduce cash-on-delivery (COD) returns by detecting high-risk orders in real time. Using AI-powered scoring trained on over 250,000 local orders, it flags risky purchases, improves delivery rates, and saves merchants from unnecessary shipping costs. Fully GDPR compliant and integrates seamlessly with Shopify

AI-powered risk scoring for COD orders
Real-time risk detection and alerts
Custom sensitivity per product and category
Email alerts for risky orders
Performance dashboard with key insights

Pros

AI-powered scoring system trained on over 250,000 local orders, ensuring a robust detection process.
Reduces cash-on-delivery (COD) returns by flagging high-risk orders in real time.
Helps improve delivery rates and saves merchants from unnecessary shipping costs.
Fully GDPR compliant, ensuring the protection of customer data.
Seamlessly integrates with Shopify, allowing for easy installation and operation.
Offers features like custom sensitivity per product and category, providing tailored risk assessment.
Includes real-time risk detection and alerts to keep merchants informed.
Provides email alerts for risky orders, ensuring quick response times.
Features a performance dashboard with key insights for better decision making.

Cons

AI-based solutions may have limitations in accurately predicting all potential risks, leading to false positives or negatives.
Dependence on AI models requires continuous data updates and retraining for optimal performance.
Merchants might need to spend time adjusting sensitivity settings per product and category initially.