Automated Customer Portal Return Request Digest
Every morning, WebRun opens ReverseLogix, counts new customer portal return requests from the past 24 hours, groups them by return reason and product category, appends the totals to a Google Sheet, and posts a brief digest to the returns team Slack channel.
How do I automatically get a daily summary of new customer return portal requests?
WebRun opens ReverseLogix every morning, counts all new customer portal return requests from the past 24 hours, groups them by return reason and product category, appends the totals to Google Sheets, and posts a digest to Slack. Returns teams start each shift with a clear picture of incoming volume instead of manually scanning the queue.
- Returns team sees incoming volume by reason and category before opening the queue each morning
- Spikes in specific return reasons are flagged automatically for product or ops investigation
- Running Google Sheets log makes week-over-week trend analysis quick
Built for returns operations teams · e-commerce customer service managers · D2C brands · omnichannel retailers
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 - pull new customer portal return requests
WebRun opens ReverseLogix to pull new customer portal return requests. - Open ReverseLogix and filter the customer portal queue for requests submitted in the last 24 hours
- Group requests by return reason code (defective, wrong item, changed mind, etc.) and product category
- Count units and total declared value for each group
Done when All new portal requests from the past 24 hours are counted and grouped by reason and category.
-
2
Google Sheets - append reason and category totals
WebRun opens Google Sheets to append reason and category totals. - Open the portal return request log sheet
- Append a new dated row with request counts and value per reason-category combination
Done when Today's portal request totals are appended to the tracking sheet.
-
3
Slack - post morning return-request digest
WebRun opens Slack to post morning return-request digest. - Post the morning digest to the returns team Slack channel
- Lead with total new requests and value, then break down by top return reasons
- Flag any reason code that spiked more than 20% above the prior 7-day average
Done when Returns team has the morning portal request digest 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
Does it approve or deny any portal return requests?
No. WebRun only counts and summarizes the new requests. Approvals are handled by your returns team in ReverseLogix using your configured policy rules.
What if volume is unusually low or zero?
WebRun posts the digest even on quiet days, showing zero new requests so the team knows the run completed and is not waiting on a report.
Can it break down requests by sales channel or geography?
Yes, if that data is captured in ReverseLogix's portal request records. Tell WebRun which dimensions to group by during setup and it adds those breakdowns to the digest.
Put this on autopilot.
Turn it on in minutes - or have our team set it up for you.