> For the complete documentation index, see [llms.txt](https://docs.parcellab.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.parcellab.com/docs/retain/returns-insights/shopify-product-returns-report.md).

# Shopify Product Returns Report

## Use Case

Using this report, you can assess return trends at article level, allowing for better inventory management, product quality improvements, and return policy optimization.

## <code class="expression">space.vars.Report\_RIShopifyProductReturns</code> Report Features

The second section of Shopify returns analytics is the <code class="expression">space.vars.Report\_RIShopifyProductReturns</code> report, which focuses on article-level return KPIs, offering a detailed view of product return trends.

At the top of the report, you can apply filters to display information by product to monitor the performance of specific items and identify if there are common compensation methods with certain products.

<figure><img src="/files/HFwbN54Vm7lT2RV0J7aM" alt="Available filters such as product and category for Shopify Product Returns report"><figcaption></figcaption></figure>

The report consists of a table providing a matrix style overview of product return performance, including the return rate and the number of returns via different compensation methods for a product, with the date the report was last refreshed shown above it.

More detailed insights can be found in the <code class="expression">space.vars.Report\_RIShopifyProductReturns</code> report by selecting the dimensions above the table to focus on specific item details.

<figure><img src="/files/OLyNTvB5LbJNQaCTiqwi" alt="Product KPI Overview table in Shopify Product Returns report"><figcaption></figcaption></figure>

{% hint style="info" icon="book" %}
**Check out the parcelLab guides**

For further information on using the report and metrics, see our [user guide documentation](https://how.parcellab.works/guides/returns/returns-insights/shopify-product-returns-report).
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.parcellab.com/docs/retain/returns-insights/shopify-product-returns-report.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.