RefundSentry Features

Instantly score every return request with our proprietary machine learning engine to identify high-risk behavior.

Identify sizing issues, quality problems, and high-return products before they impact your bottom line.

Understand customer return patterns by backfilling historical data to establish accurate baseline behavior.

Automatically tag Shopify orders and customers based on their return risk score for easy filtering.

Dynamically adjust return windows and fees based on the customer's historical risk profile.

Generate comprehensive evidence reports automatically when customers file return-related chargebacks.

Granular permissions for your team, ensuring sensitive fraud data is only visible to authorized personnel.

Manage return policies and view fraud analytics across your entire brand portfolio from a single dashboard.

We process signals without storing raw PII, keeping your customer data secure and compliant.

Collaborate on fraud investigations with shared notes, audit logs, and resolution tracking.

Build your own return routing logic using a visual builder—no code required.

Automatically approve returns for your best customers while requiring manual review for risky ones.

Detect same-day cycling, return spikes, and bulk return patterns. Get alerted when abuse velocity exceeds thresholds.

Flag disposable email addresses and suspicious patterns like randomized strings or temporary domains.

Receive automated weekly and monthly fraud summaries with trend analysis and actionable insights delivered to your inbox.

Track every return decision, manual override, and policy change with detailed system logs.