AI Retail Returns Photo Verification
Stop refunding boxes of bricks, worn clothes, and missing accessories. AI-verified return photos confirm condition and contents before the refund posts.
Return Fraud Is Eating Retail Margin
Common challenges teams face without automated verification
Wardrobing
Customer wears the item once, returns it for full refund. Without condition verification, retailers eat the loss and the item often can't be resold.
Empty-Box Refunds
Returned packages arrive with a brick, a different product, or nothing at all. By the time the warehouse opens it, the refund has already posted.
Missing Accessories
Customer keeps the charger, cable, or accessory and returns the main item. Refunds get issued without checking what's actually in the box.
Slow Warehouse Triage
Warehouse teams open every return, inspect by hand, and route. The cost per return inspection often exceeds the margin on the item.
Policy Inconsistency
Different return-portal vendors apply different standards. Customers learn to game whichever path is most lenient.
How It Works
Customer Captures Return Photo
In the return portal or app, the customer is asked to photograph the item before shipping. VerifyAI's SDK guides them to a clean, on-axis frame.
On-Device Verification
AI confirms the photographed item matches the original SKU, all included accessories are visible, and visible condition meets the return policy.
Decision at Capture
If the photo passes, the return label is issued and the customer ships. If it fails (wrong item, visible damage, missing parts), the policy decision is communicated immediately.
Warehouse Reconciliation
When the return arrives, the warehouse opens it and compares against the AI-verified pre-shipment photo. Discrepancies (different item, fewer accessories) trigger an automated dispute.
Key Features
SKU Match Detection
AI confirms the photographed product matches the SKU the customer is returning — same item, same color, same size where visible.
Accessory Completeness Check
Verifies all expected accessories (chargers, cables, manuals, original tags) are visible in the return photo before label issuance.
Condition Scoring
Identifies obvious worn condition, stains, missing tags, and damage. Customers returning visibly used items get policy-appropriate decisions.
Anti-Fraud Signals
Detects re-used return photos, screen captures, and stock-image submissions. Repeat offenders surface to risk review.
Return-Portal Integration
Pre-built integrations with Loop, Happy Returns, Returnly, Narvar, and Shopify Returns. Plus REST API for custom return stacks.
Warehouse Reconciliation
Compares incoming return contents to the pre-shipment AI-verified photo. Mismatches trigger refund hold and customer follow-up.
Measurable Impact
Drop in fraudulent refund dollars
Items returned in visibly worn condition
Faster reconciliation with pre-shipment evidence
Inclusive of AI analysis and storage
Frequently Asked Questions
Protect Margin From Return Fraud
Verify every refund-eligible return with AI before the label is issued. Start your free sandbox today.