Revel Systems Refund Exception Monitoring Automation
Every morning, WebRun opens Revel Systems and reviews all refund transactions from the prior day, identifies any that exceed your amount or frequency thresholds, logs the exceptions with employee and transaction detail into Google Sheets, and posts a flagged exception report to Slack so managers can investigate before patterns compound.
How do I automatically detect unusual refund activity in Revel Systems?
WebRun reviews all Revel Systems refund transactions every morning, flags any that exceed your amount or frequency thresholds, logs each exception with employee and reason detail into Google Sheets, and posts a prioritized exception report to Slack so managers can investigate unusual activity before it compounds.
- Unusual refund patterns caught daily before they compound into significant losses
- Per-employee refund trend tracked automatically without manual report pulls
- Management gets a prioritized exception list every morning with reason codes
Built for restaurant operators · QSR managers · retail loss-prevention teams · multi-location POS operators
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
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WebRun signs in and gets to work
Opens
manage.revelsystems.comin a real browser with your saved login - no setup, no API keys. -
1
Revel Systems - pull all refund transactions from the prior day
revelsystems.com
WebRun opens Revel Systems to pull all refund transactions from the prior day. - Open Revel Systems Management Console and navigate to the Refund report
- Pull all refund transactions from the prior day with employee, time, amount, and reason code
- Identify any single refund above your configured dollar threshold or any employee with more than your configured refund count for the day
Done when All refund transactions from yesterday are captured and exceptions identified with employee detail.
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2
Google Sheets - log exceptions with employee and trend context
google.com
WebRun opens Google Sheets to log exceptions with employee and trend context. - Append flagged exceptions to the refund tracking sheet with date and employee
- Calculate a 7-day rolling refund rate per employee for trend context
- Mark any employee flagged three or more times this week as a repeat pattern
Done when Exceptions are logged in the tracking sheet with trend data and repeat pattern flags.
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3
Slack - post the flagged exception report
slack.com
WebRun opens Slack to post the flagged exception report. - Post a concise exception report listing each flagged refund with employee, amount, and reason code
- Lead with the highest-value exceptions and any repeat patterns
- Include a link to the full Google Sheet log for detailed review
Done when The flagged refund exception report is live in Slack for management 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
Will WebRun take any action against flagged employees?
No. WebRun only surfaces the exception data and delivers the report. All investigation and any follow-up action remain entirely with your management team.
How do I set the thresholds for what counts as an exception?
You configure both the single-transaction dollar threshold and the daily refund count per employee when setting up the run. Any change you make to those values takes effect on the next run.
Can it distinguish between legitimate high-value refunds and suspicious ones?
WebRun captures the reason code from Revel for each refund and includes it in the report. Reason codes let you quickly tell a manager-approved large return from an unexplained refund.
Related templates
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