Store automation · Runs every month
Compare product return rates.
Products with the most returns and the reasons customers give. Run this automation in Fieldwork chat, or schedule it to email you a report when something needs attention.
Compare product return rates — Sep 1
Automation run • Sep 1
Compare product return rates
Output
Ridgeline Rain Shell has the highest return rate at 15%, with fit complaints suggesting a sizing-description problem worth checking.
Reviewed Harbor & Pine’s Shopify records: June 3–August 31, 2026.
Return rate means orders with a recorded return of the product divided by orders containing that product, using orders placed during this period. Each order counts once per product. The assumed minimum is 50 orders. Five products qualified, ranked below.
| Product | Orders | Orders with returns | Return rate |
|---|---|---|---|
| Ridgeline Rain Shell | 120 | 18 | 15% |
| Cascade Merino Crew | 100 | 12 | 12% |
| Timberline Flannel | 100 | 8 | 8% |
| Alder Wool Throw | 150 | 6 | 4% |
| Basalt Enamel Mug | 250 | 5 | 2% |
- Ridgeline: 10 reasons mention tight shoulders, five unexpected fabric weight, and three are missing. Check measurements and fabric descriptions.
- Cascade: eight mention itchiness and four are missing. Review material and next-to-skin descriptions.
- Timberline: six mention color differing from photos and two are missing. Check photography.
- Alder and Basalt: no customer reasons were recorded, so causes remain unknown.
These patterns suggest possible issues, not confirmed defects. Products below 50 orders were excluded from ranking. Recent orders have had less time to generate returns, which may understate their rates.
Automation steps. The agent follows these 3 steps each time it runs, using your connected store.
- 1
Calculate product return rates over the last 90 days and summarize customer reasons where available.
- 2
Rank by return rate, using a minimum order volume to avoid ranking products based on a single return.
- 3
Identify possible problems with a product or its description.
Adjust the automation in Chat
Run this automation and tell the agent what to do differently. Ask it to schedule that version if you want the changes in future runs.
- Require at least 100 orders per product.
- Compare return rates by variant.
- Separate fit complaints from damage reports.
Fieldwork emails the scheduled report. Each email links to the full run as a conversation in Fieldwork. The automation asks the agent to keep a log in your knowledge base and read it before each run to check what has changed.
Adjustable schedule
Choose how often it runs at setup, from hourly to monthly. Ask in Fieldwork chat for a custom schedule and timezone.
Only useful reports
When nothing needs attention, the run skips the email. When there are findings, you get a report with a link to the full conversation.
Read-only access
The agent reads your store without changing the source. It can keep notes and a run log in your Fieldwork knowledge base.
This automation reads your store. Connect Shopify, BigCommerce, or WooCommerce to Fieldwork. The automation uses whichever you connect.
More automations for store.
Questions about this automation.
- How do I set this up?
- Connect Shopify, BigCommerce, or WooCommerce, then activate the monthly automation. It calculates rates from available orders and returns, using customer reasons where recorded.
- Will it change products or process returns?
- Scheduled runs have read-only store access. They report findings without changing descriptions, processing returns, or creating messages.
- Can I change the comparison?
- Ask in chat to change the 90-day window, minimum order volume, or product grouping. Ask to schedule that adjusted version for future reports.
- How will I receive the report?
- Monthly runs occur on the 1st at 9 AM and email the report with access to the full conversation. If nothing needs attention, no email or push notification is sent.
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