Unusual rows, with why
Catch odd orders before you ship
Which orders look unusual (fraud, typos, wrong address)?
Unusual rows, with whyIllustration with sample data
- #5310Unusual▲ ×12
- #5317
- #5324Unusual▲ ×6
- #5331
- #5338
The problem
A fraudulent order or a typo in the quantity is found after it ships, when the money and the stock are gone.
What you get
Check these orders before they leave the warehouse.
What you need
Your orders: amount, items, payment tries, addresses. No labels needed.
How it works
- 01
Open it with sample data, or pick one of your tables.
- 02
The settings are already filled in; change them if you like.
- 03
Run it, read the result in plain words, and use it on new rows.
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