How to auto-tag risky customers in Shopify (without manual work): 1. Every return gets scored automatically 2. Customer risk profiles update in real-time 3. High-risk customers get tagged: refundsentry:high-risk 4. Your team sees the tag before processing the next return The result: your support team makes better decisions without extra steps. Full tutorial: https://lnkd.in/eWKRBJja #Shopify #ecommerce #ReturnFraud
RefundSentry
IT System Custom Software Development
Shopify merchants lose thousands to return abuse. We catch it. AI-powered return scoring, customer risk profiles.
About us
RefundSentry — AI-Powered Return Fraud Intelligence for Shopify Return fraud costs merchants billions yearly. Wardrobing, serial returners, and abuse patterns slip through the cracks - until now. RefundSentry scores every return in real-time, detects abuse patterns, and auto-tags risky customers — so you protect margins without slowing down legitimate returns. Unlike return management apps, RefundSentry is a pure intelligence layer. It works alongside Loop, AfterShip, or Shopify native returns. What you get: • Real-time risk scoring (0–100) for every return • Automatic customer tagging by risk level • Dashboard with analytics and actionable insights • Chargeback prediction on high-risk orders • ....
- Website
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https://refundsentry.com/
External link for RefundSentry
- Industry
- IT System Custom Software Development
- Company size
- 1 employee
- Type
- Self-Owned
Updates
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We built RefundSentry to answer one question: "Should I be worried about this return?" Every return gets a risk score based on 10+ signals. Every customer gets a risk profile. High-risk customers get auto-tagged directly in Shopify. No spreadsheets. No manual auditing. No guessing. Your support team sees the risk level before they even open the return. Learn more: https://lnkd.in/e9Wxvckk #Shopify #ReturnFraud #SaaS
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Your return data is telling you something — but you're probably not listening. Most merchants look at returns one at a time. But when you cluster return reasons together, patterns emerge: - "Doesn't fit" spiking on one SKU? Sizing chart problem. - "Not as described" across a category? Listing issue. - Vague reasons from repeat returners? Potential abuse. We wrote about how reason clustering changes what you see: https://lnkd.in/gxrmn5Dc #Shopify #ecommerce
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The true cost of a generous return policy isn't what you think. Most merchants calculate return cost as: refund amount + shipping. But that misses: - Restocking and inspection labor - Product depreciation (returned items sell for less) - Customer service time - Fraud abuse from serial returners exploiting the policy The real cost of a single return can be 2-3x the refund amount. Full breakdown: https://lnkd.in/eN3q_GY2 #ecommerce #Shopify #ReturnFraud
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"No questions asked" return policies sound great for conversion. Until you do the math. A single fraudulent return costs you: - Product cost - Shipping (both ways) - Restocking labor - Lost resale value We broke down the real numbers: https://lnkd.in/eN3q_GY2 #Shopify
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Return fraud is a $101 billion problem — and it's growing. Here's what makes it so dangerous for Shopify merchants: unlike payment fraud, there's no built-in detection. No alerts. No scoring. Returns just... happen, and you process them. We put together a comprehensive guide covering the types of return fraud, how to spot them, and what you can actually do about it. Read the full guide: https://lnkd.in/emE4Qhac #Shopify #ReturnFraud #ecommerce