A couple of weeks ago I asked here what wastes the most time in month-end close. The answers were unusually specific, and they changed what I was building. Two things in particular:
One of you said the missing piece isn’t another report, it’s being told what a specific number is made of, including the parts that need no action. Another said the biggest opportunity is not identifying discrepancies but classifying them as “expected” versus “requires investigation.”
So that’s what this does. It reconciles per payout (not per calendar month), labels every difference, and by default shows you only the ones that need you.
When something needs attention, it says what happened in plain English rather than giving you a variance to chase.
And when it genuinely can’t explain a gap, it says so instead of inventing a reason.
A clean period looks like this; the whole point is that most months should be boring.
Currently it runs on sample data covering the cases people described here: refunds landing in a later payout, delayed and partial captures, shipping adjustments, chargebacks, gift card liabilities, payouts still in transit, and currency conversion differences.
Two questions:
-Looking at these screens — is anything obviously missing or mislabelled?
-I’ll need real stores to test against before this is useful to anyone. If you’d be open to being an early tester when it gets there, say so here or send me a message and I’ll come back to you.
Thanks to everyone who answered the earlier threads, the categories in this thing came directly from what you wrote.


