Documentation
Validation issues
Understand errors vs warnings, read the issues panel, and jump directly to problem cells.
Validation issues tell you what is wrong with your data and where to fix it. Import Ready separates issues into errors and warnings so you can prioritize work.
Errors vs warnings
| Type | Severity | Blocks import? | What to do |
|---|---|---|---|
| Error | Must fix | Yes | Resolve every error before importing |
| Warning | Should review | Usually no | Review and fix if the data should change |
Examples of errors:
- Required field is empty
- Invalid number or date format
- Duplicate SKU where uniqueness is required
Examples of warnings:
- Unusual but technically valid values
- Optional fields that look incomplete
- Data that may cause downstream issues in your systems
Where issues appear
Issues show up in three places:
- Import card — total error and warning counts on the Imports list
- Issues badge — in import preview toolbar (e.g. "12 errors" or "No issues")
- Cell highlights — individual cells in the grid are marked when they have an issue
The issues panel
Click View issues in import preview to open the panel. It has two tabs:
- Errors — grouped list of all blocking issues
- Warnings — grouped list of recommendations
Issues are grouped by message type so you can fix the same problem across many rows efficiently. Each entry shows how many rows are affected.
Jump to a problem
Click any issue in the panel to:
- Scroll the grid to the affected row
- Focus the relevant column
- Close the panel so you can edit immediately
This is the recommended workflow: open issues → click an entry → fix the cell → repeat until errors reach zero.
Issue counts update when you save
Editing cells updates local counts immediately, but the authoritative totals refresh after you Save changes. If counts seem stale, save and wait for validation to complete.
Fixing issues efficiently
For the same fix applied to many rows:
- Use Bulk edit when every selected row needs the same value.
- Use Search & columns to find specific SKUs or product names.
- Use Delete rows to remove invalid lines you do not need.
Tip: Work through errors tab first. Warnings can wait until blocking issues are cleared.