Automated Return Fraud Alert Digest in ReverseLogix
Every morning, WebRun opens ReverseLogix, scans completed and pending returns for patterns matching your fraud detection rules, logs flagged customer accounts to Google Sheets, and posts a summary to your loss-prevention Slack channel.
How do I automatically detect and flag suspicious return patterns each day?
WebRun scans ReverseLogix every morning for return patterns matching your fraud rules, such as high-frequency returners and repeat same-SKU claims, logs flagged accounts to Google Sheets, and posts a digest to your loss-prevention Slack channel. Teams review and act on suspicious accounts the same day, before value erodes further.
- Suspicious return patterns are surfaced every morning instead of caught after the fact
- Repeat offenders are separated from first-time flags so priority is clear
- Every flagged account is logged with a timestamped reason, building a defensible audit trail
Built for loss prevention teams · e-commerce fraud analysts · returns operations managers · retail risk teams
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
app.reverselogix.comin a real browser with your saved login - no setup, no API keys. -
1
ReverseLogix - scan for fraud-pattern returns
reverselogix.com
WebRun opens ReverseLogix to scan for fraud-pattern returns. - Open ReverseLogix and review the fraud alerts and flagged-return queue
- Identify accounts with return rates above threshold, repeat claims on the same SKU, or return-without-receipt patterns in the past 30 days
- Capture account ID, return count, total claimed value, and the specific rule triggered for each flag
Done when All accounts matching a fraud rule are listed with the triggering pattern and claimed value.
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2
Google Sheets - log flagged accounts
google.com
WebRun opens Google Sheets to log flagged accounts. - Open the fraud alert log sheet
- Append one row per newly flagged account with date, account ID, rule triggered, and cumulative claimed value
- Mark accounts that appeared on a prior day as recurring flags
Done when The fraud log is updated with all new flags and repeat-offender status is noted.
-
3
Slack - post fraud alert digest
slack.com
WebRun opens Slack to post fraud alert digest. - Post the day's fraud alert digest to the loss-prevention Slack channel
- Lead with the count of newly flagged accounts and total value at risk
- List repeat offenders separately from first-time flags
Done when Loss-prevention team has today's fraud alert summary in Slack.
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 it block or ban a customer account automatically?
No. WebRun surfaces the patterns and logs the flags. Any account restriction or ban is a decision for your loss-prevention team and must be actioned by a human.
What counts as a suspicious pattern?
You define the rules during setup: for example, three or more returns in 30 days, a return rate above 40% of orders, or repeat returns on the same SKU. WebRun applies your thresholds, not a generic model.
Does it contact the flagged customer?
No. WebRun only posts an internal digest. Any communication with the customer about a flagged return is drafted by your team and reviewed before sending.
Related templates
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