---
title: "How to grade returned products with computer vision"
description: "At the returns bench, a camera over the table takes a few photos of each item and its packaging. A model trained on the business own images, labeled against its own condition grades, marks likely signs such as opened or damaged packaging, missing parts or accessories compared with the product photo, scratches, stains, wear and items that do not match the order. It suggests a condition grade and a next step, such as restock, resell as open box, refurbish or recycle, and attaches the photos to the return record. The returns lead can see which products come back damaged most often and share that with buying and packaging teams. Aim the camera at the table, not at people. A returns associate reviews the suggestion and decides the grade and where the item goes. The model does not replace the returns policy, product safety checks or customer service, and people make every refund and resale call."
url: https://lidvizion.ai/answers/how-to-grade-returned-products-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can a retailer or returns center use computer vision to sort returned items faster?

At the returns bench, a camera over the table takes a few photos of each item and its packaging. A model trained on the business own images, labeled against its own condition grades, marks likely signs such as opened or damaged packaging, missing parts or accessories compared with the product photo, scratches, stains, wear and items that do not match the order. It suggests a condition grade and a next step, such as restock, resell as open box, refurbish or recycle, and attaches the photos to the return record. The returns lead can see which products come back damaged most often and share that with buying and packaging teams. Aim the camera at the table, not at people. A returns associate reviews the suggestion and decides the grade and where the item goes. The model does not replace the returns policy, product safety checks or customer service, and people make every refund and resale call.

## What this means in practice

- Start with one product category at one bench.
- Label photos from your own returns against your own condition grades.
- Show the suggested grade to the associate before anything moves.
- Attach photos to each return record.
- Share repeat damage patterns with buying and packaging teams.

## How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

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