When working with large sets of naming data, mistakes happen — values sometimes end up in the wrong columns. For example, a Brand might be placed in the Product column, or a Region value might land in the wrong spot. The Auto-Correct feature detects these inconsistencies and suggests the correct order of values.
Example
Correct Format
Your taxonomy: Brand | Product | Region
Delimiter: _
Correct entry: Nike_Shoes_US
What Can Go Wrong
Somebody enters: Shoes_Nike_US
Column 1 (Brand): “Shoes” ❌ (should be Product)
Column 2 (Product): “Nike” ❌ (should be Brand)
Column 3 (Region): “US” ✓ (correct)
Auto-Correct Solution
Detects misplaced values and suggests: Nike_Shoes_US.
How to use Auto-Correct?
Step 1: Run Auto-Correct Analysis
Navigate to the Taxonomy page
Open Workbook you want apply changes to
Click Actions in the top toolbar
Select Auto-Correct
System analyzes all naming data in the current view immediately
Step 2: Review Results
If No Issues Found
You’ll see message: “No inconsistencies found! All naming data is correctly ordered.”
Process ends, nothing to fix
If Issues Found
Message: “Found X inconsistencies. Review and apply corrections.”
Review panel appears with detected issues
For each record, system shows:
~ID (identifier)
~Current Value (e.g. Shoes_Nike_US)
~Suggested Correction (e.g. Nike_Shoes_US)
~Before/After Parts (which values moved to which columns)
~Checkbox to select suggestion
Step 3: Select Corrections to Apply
Options available:
Accept All → Applies all corrections at once
Selective Accept → Choose only the suggestions you trust
Decline All → Close without changes
Step 4: Apply Corrections
Click Accept All Changes or Apply Selected
System updates naming data:
Moves values to correct columns
Regenerates the full names with correct order
Updates all affected records
Review panel closes
Updated records appear in taxonomy table
“Unsaved Changes” indicator shows up
You must click Save Changes to confirm updates
How Auto-Correct Works
Extract Values
Split name by delimiter (e.g., Shoes_Nike_US → ["Shoes", "Nike", "US"])
Assign to columns based on position
Validate
Check each column against glossary
Identify misplaced values
Reposition
Move valid values into the correct columns
Leave unknown values in place
Generate Suggestion
Build corrected version (Nike_Shoes_US)
Show comparison with the original
Edge Cases
If no valid match exists → invalid value stays where it is
If multiple matches are possible → first valid one is used
If everything is already correct → no suggestion is generated
Conclusions
Auto-Correct is a safeguard that keeps your naming data clean and consistent. It automatically finds values placed in the wrong columns and suggests corrected versions based on your glossary.
The process is entirely under your control: you decide whether to accept all changes, apply selected ones, or discard them. Importantly, no data is altered until you approve and save the corrections, making Auto-Correct a safe and efficient way to maintain taxonomy quality.
Setup guide
Schema information
Settings
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Troubleshooting
Troubleshooting guides
Check out troubleshooting guides for
How to auto-correct naming data?
here:
Limits
How to auto-correct naming data? API changes
Frequently asked questions
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