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Analyse BigCommerce refunds by method, channel and product
For finance teams who want refunds for a period broken down and traced to products, just by asking their AI assistant.
On this page
Connector
Connect BigCommerce, pick your AI tool and paste the prompt.
The problem
Refund numbers shift every time someone reruns the export
Finance reconciles refunds by exporting BigCommerce orders and matching them to lines by hand. Without a fixed period the numbers shift between runs, and it is hard to see which payment method, channel or product refunds cluster around.
Without PopdockAI
- Export orders and filter to refunds
- Match refunds to line items by hand
- Build pivot tables by method, channel and country
- Get a different answer each time the period drifts
With PopdockAI
- An explicit start and end date is required
- Refunded orders are totalled against order value for a refund rate
- Breakdowns by payment method, channel and billing country are built
- Items for the 10 largest refunds are read, and nothing is changed
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Analyse refunds on orders created from `{date-from}` to `{date-to}`, showing orders with refunded amounts of at least `{min-refund}` (default 0.01).
**Step 1: Refunded orders**
Call `bigcommerce-get-order` with `refunded-amount.min`, `date-created.from` and `date-created.to`.
**Step 2: Aggregate**
Total refunded vs total `total-including-tax`, refund rate, and breakdowns by `payment-method`, `channel-id` and `billing-country`.
**Step 3: Product detail**
For the 10 largest refunds, call `bigcommerce-get-order-product` with `order-id` and `refunded` set to true, to see which items were refunded.
**Step 4: Report**
Headline refund rate, the breakdown tables, then the products most often refunded and any pattern worth a follow-up.
**Rules & Guidelines:**
* This is a read-only job. Never call any `bigcommerce-*-add`, `bigcommerce-*-update` or `bigcommerce-*-delete` tool. Do not suggest that you changed anything.
**Validation:**
* If a read returns no records, say so plainly and stop; do not invent figures.
* If a result hits the maximum records limit, say the figures may be incomplete and name the filter that would narrow it.Who it's for
One answer, three teams that use it
Finance analysts
Report the refund rate for a period
The headline rate and the basis behind it are ready for the monthly pack.
What was our BigCommerce refund rate on orders from 2026-08-01 to 2026-08-31?
Ecommerce managers
See where refunds cluster
Breakdowns by channel and country show whether one storefront or market drives returns.
Break down BigCommerce refunds from 2026-06-01 to 2026-09-30 by channel and billing country.
Product managers
Find the products customers send back
The most refunded products from the largest refunds point to quality or listing problems.
Which products show up most in BigCommerce refunds over 100 between 2026-07-01 and 2026-09-30?
How it works
What PopdockAI does when you ask
You give a period and an optional minimum refund, and your AI assistant analyses BigCommerce refunds for it. Every rate shows the basis it used.
01
Ask
You give a start date, an end date and an optional minimum refund.
02
Read
It reads refunded BigCommerce orders for that period.
03
Aggregate
It totals refunds and breaks them down by method, channel and country.
04
Report
You get the refund rate, tables and the most refunded products.
What PopdockAI provides
The tools behind the answer
Ready made tools for BigCommerce and one secure connection to your AI tool. No code, no exports.
bigcommerce-get-order
bigcommerce-get-order-product
This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.
The outcome
Refunds totalled, broken down and traced to products
Related use cases
More ways to put this data to work
One prompt template with infinite possibilities.
Your AI assistant adapts its approach, tone, and capabilities to match each unique context while you maintain a single, manageable workflow.
Join forward-thinking companies that are transforming their operations with intelligent, secure AI automation.

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