Dashboard
Return feed with risk scores, chargeback and double-dip indicators, signal frequency breakdown, and savings tracking.
Every order and return gets a fraud score. Risky fulfillments get held before they ship. Your team reviews and releases — preventing losses instead of chasing refunds.
Launching soon • Join the waitlist for an extended 14-day free trial
Product Preview
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Scored
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Blocked
Lost to return fraud annually
of returns are fraudulent
Average cost per chargeback
Source: National Retail Federation 2024 Return Fraud Report
Simple Setup
From order placement to return resolution — fraud coverage at every step, no rip-and-replace.
Install RefundSentry from the Shopify App Store and connect it to the returns workflow you already use.
Setup in minutesEvery new order is scored with 10 pre-ship signals — bracketing, risky first orders, velocity patterns — before fulfillment begins.
Pre-ship intelligenceHigh-risk orders are automatically held. Your team reviews and releases with one click, preventing losses before they happen.
Prevent, don't chaseReturns are scored with 50+ signals. Tag customers, block repeat abusers, and see risk context directly in Shopify Admin.
Full lifecycle coverageReal patterns that generic rules and manual review miss — detected automatically, scored by severity, and escalated when they repeat.
Customer buys an $800 dress, returns it 3 days after a weekend event. Tags reattached, perfume traces.
Pattern match: high-value item, weekend return timing, and a history of single-wear returns across 4 prior orders.
Three 'different' customers place orders a day apart. All ship to the same address. All return the same category.
Shared-address clustering links accounts automatically. Combined return velocity pushes all three into high-risk.
Customer pays with store credit from a previous return, then requests a cash refund. The mismatch is invisible in Shopify.
Refund-method-switch signal fires when payout differs from original payment. Combined with store-credit origin.
12 orders, 9 returns in 60 days. Each reason is slightly different — 'didn't fit', 'not as described', 'changed mind'.
Velocity signals escalate with severity: 9 returns scores differently than 3. Reason clustering groups varied excuses into one pattern.
Plus bracketing, exchange churning, holiday surge patterns, delivery timing, chargeback prediction, and dozens more — all learning from your outcomes.
See all 50+ signalsShopify shows you a flat list. RefundSentry shows you why it keeps happening.
Return Reason Clusters
Classic Fit Tee — Size L
+340%Returns spiked after supplier change. Sizes S/M/XL unaffected — the issue is size L specifically.
Signal Accuracy
Auto-tuning recommends disabling Weekend Timing for your store
Return Reasons
| Product | Reason | Returns | Rate |
|---|---|---|---|
| Classic Fit Tee | Size too small | 23 | 12% |
| Classic Fit Tee | Doesn't fit | 14 | 12% |
| Classic Fit Tee | Other | 8 | 12% |
| Slim Joggers | Defective | 11 | 8% |
| Slim Joggers | Wrong item | 3 | 8% |
| Wool Cardigan | Not as described | 7 | 6% |
| Wool Cardigan | Changed mind | 5 | 6% |
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Real screenshots from the app — return feed with risk badges, fulfillment hold queue, and fraud ring detection.
Dashboard
Return feed with risk scores, chargeback and double-dip indicators, signal frequency breakdown, and savings tracking.
Fulfillment hold queue
Orders paused before shipping — with hold reasons, customer risk, and one-click release.
Chargeback analytics
Total chargebacks, double-dip detection, value at risk, and repeat offender tracking.
Fraud ring detection
Linked customer clusters, shared addresses, and coordinated return patterns — surfaced automatically.
Customer intelligence
Risk scores, return trajectories, and one-click block/watch for every customer.
Screenshots captured from the real app with demo data. Click to zoom.
Confidence Ramp
Start by observing. Confirm what you see. The system learns which signals matter for your store and tunes itself — on your schedule, within strict guardrails.
Every return is scored automatically with 50+ signals. You review scores, explore patterns, and build intuition — no action required.
Mark flagged returns as fraud or legitimate. Each confirmation teaches the system which signals predict real abuse in your store.
Unlocks accuracy reports
The system measures precision per signal and recommends weight adjustments. You decide which changes to apply — full control, zero guesswork.
Unlocks recommendations
Enable weekly auto-tuning and the system adjusts signal weights within strict guardrails. It becomes custom-fit to your store, automatically.
Unlocks auto-tune
Guardrails: max +/-25% weight change per cycle · weights clamped between 2-35 · every adjustment logged · zero raw PII stored
Beta merchants get full access at no cost. Launch pricing will be set based on merchant feedback and tiered to your order volume — so a small store never pays Shopify Plus rates.
Full fraud protection, zero cost during validation.
Launch pricing announced 30 days before billing starts.
Everything included
Questions about beta access? Email us
For a new app, trust starts with clarity: what gets installed, what data stays out of scope, and how RefundSentry fits into the tools you already use.
Only customer IDs and aggregate statistics. No names, emails, addresses, or payment data ever touch our database.
Return behavior analysis without building personal customer profiles. GDPR-ready from day one.
Returns are analyzed during webhook processing so your team sees new risk signals as activity comes in.
Add-on to your existing returns workflow. No need to replace Shopify Native, Loop, AfterShip, or ReturnGO.
Shopify Native
Built for Shopify
Webhook-based
Scores as events arrive
Customer tagging
Risk labels in Shopify
Shopify billing
No external payments
FAQ
Score orders, hold risky fulfillments, detect return abuse, and predict chargebacks — all from one app that works with your current stack.