Documentation
Everything you need to get the most out of RefundSentry. Start with the core concepts, then dive into the analytics reference when you need it.
Getting Started
Tour the dashboard, analytics, and settings.
Core Concepts
How RefundSentry scores returns, automates actions, and learns about your customers.
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How Risk Scoring Works
Understanding the 0-100 risk score, the three risk zones, and the 50+ signals behind every score.
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Automating Your Response
Auto-hold high-risk returns, auto-approve low-risk ones, and route everything else for review.
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Tuning Risk Thresholds
Adjust the LOW / MEDIUM / HIGH zone boundaries to match your store's tolerance.
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Customer Intelligence
Customer-level risk profiles, return history, and manual overrides.
Analytics Reference
Every chart, metric, and report explained.
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Risk Distribution
How your returns split across LOW / MEDIUM / HIGH risk zones.
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Return Reason Clusters
How free-text return reasons are grouped into actionable categories.
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Reason × Product Heatmap
Cross-reference return reasons with product types to find systematic issues.
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Product Risk Map
Map products against their average risk scores to prioritise interventions.
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Returns by Product Type
Rank product types by return volume to guide inventory and merchandising decisions.
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Returns by Category
Department-level return volume to find which areas need the most attention.
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Financial Impact
Track the monetary cost of returns over time and measure the ROI of your policies.
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Period Comparison
Compare return metrics between any two time periods to measure improvement.
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Refund Methods
See which refund methods customers prefer and where exchanges out-perform refunds.
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Sizing-Related Returns
Identify SKUs and categories with high sizing-driven return rates.