Catch unusual refund patterns in Square before they cost you
Every morning, WebRun opens Square, reviews all refunds processed in the last 24 hours, compares them to your baseline refund rate, and posts a Slack alert if any refund looks unusual, such as a high frequency from one employee, repeated refunds on the same item, or a single large refund above your threshold.
- No credit card
- Under $0.01 per run
- Cancel anytime
How do I automatically detect unusual refund activity in Square POS?
WebRun reviews every Square refund from the past 24 hours each morning, compares the totals and patterns to your configured thresholds, and posts a Slack alert listing any anomaly by employee, item, or amount. Normal days get an all-clear. Unusual patterns surface before they become a financial loss.
- Unusual refund patterns are caught the morning after they happen
- Per-employee and per-item refund anomalies are surfaced before they escalate
- Managers spend seconds reviewing a digest instead of auditing transaction logs manually
Built for retail shop managers · restaurant owners · multi-staff Square merchants · loss-prevention focused operators
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
-
WebRun signs in and gets to work
Opens
squareup.com/dashboardin a real browser with your saved login - no setup, no API keys. -
1
Square - review refund activity and detect anomalies
WebRun opens Square to review refund activity and detect anomalies. - Open Square Dashboard and navigate to Reports, then Transactions
- Filter to refunds processed in the last 24 hours
- Calculate the total refund amount, refund count, and refund-to-sales ratio for the day
- Flag any refund above your single-transaction threshold, any employee with more than your per-staff limit, and any item refunded more than twice
Done when All refunds are reviewed and anomalies are identified.
-
2
Slack - post the refund anomaly alert
WebRun opens Slack to post the refund anomaly alert. - Post a refund summary to your Slack channel: total refunds, count, and ratio vs. baseline
- List each flagged anomaly with the employee, item, amount, and reason code
- If no anomalies are found, post a brief all-clear confirmation
Done when The refund anomaly report is live in Slack for manager review.
How is each run configured?
Secure by default
Connect once, stays signed in
WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.
Every action is checked against this policy before it runs.
Questions, answered
How does it decide what counts as an anomaly?
It compares to thresholds you set: a single-refund dollar limit, a per-employee refund count limit, and a daily refund-to-sales ratio. Anything exceeding those is flagged.
Will it reverse or block a suspicious refund automatically?
No. WebRun flags the anomaly for your review in Slack. Only your team can investigate and take action in Square.
Can it track refund trends over time?
Yes. You can pair this with the Google Sheets logging template to build a refund history and spot trends week over week.
Put this on autopilot.
Turn it on in minutes - or have our team set it up for you.