AI Enricher Properties (text-based)
Transform your product data with AI-powered enrichment that automatically generates new product attributes based on existing information.
AI Enricher Properties use intelligent prompts to analyze your products and create valuable new data points that enhance your catalog.
Before you begin
Set up your product feeds and ensure data is flowing into Crobox
Create the product properties you'll use as inputs and outputs
Ensure you have properties with the "AI Enricher" value type available in your property list
Create your AI Enricher property
Navigate to Product Data > Properties and either create a new property or edit an existing one.
Set the Value Type to "AI Enricher"
Choose your Target Level (Product or Variant)
Configure basic property settings:
Lock being edited in the app - Prevents manual editing of AI-generated values
Mark as internal - Keeps the property for internal use only
Set validation rules if needed for your outputs
AI Enricher properties can be best organized when you have clear, descriptive property names that indicate their purpose, like "AI Generated Description" or "Style Category AI."
Configure AI enrichment settings
In the AI Enrichment Settings section, configure the property in this order:
Set a product filter before activation. The Enable automated background enrichment toggle only becomes available after you define which products should be processed. This helps you validate results on a smaller subset before enriching a larger part of your catalog.
Write your prompt
Create a clear, specific prompt that tells the AI exactly what you want to extract or generate. Your prompt should include clear instructions, for example:
Prompt best practices:
Use clear, actionable language
Provide specific examples
Define the expected output format
Include constraints to avoid unwanted results
Configure input properties
Select the Inputs that the AI will analyze:
Choose properties containing the source data for enrichment
Multiple inputs can provide richer context
Common inputs include titles, descriptions, categories, or specifications
Define output properties
Select the Outputs where enriched data will be stored:
These properties will receive the AI-generated values
You can select multiple outputs for different extracted attributes
Output properties should already exist in your property setup
Make sure your output properties can accommodate the type of data the AI will generate.
Set the product filter
Use Only for these products to define which products are eligible for enrichment.
Start with a narrow subset so you can validate the generated values before scaling up:
A specific category or brand
Products missing a target attribute
This filter is required. You can only activate enrichment after setting it.
Test with preview
Click Fetch Preview Values to test your setup on products that match your filter.
Review the preview table to check:
Input data being analyzed
AI-generated output values
AI explanations showing the reasoning
Refine your prompt or filter until the results look right.
Activate enrichment
Turn on Enable automated background enrichment after your preview looks correct.
When enabled, Crobox processes only the products that match your filter during background enrichment.
Testing with preview
Use the AI Enrichment Preview to validate your setup before activation:
Click "Fetch Preview Values" to test your prompt on sample products
Review the preview table to see:
Input data being analyzed
AI-generated output values
AI explanations showing the reasoning
Use and adjust Add Filter to test different product subsets
Refine your prompt based on preview results
The preview shows up to 20 products and includes an AI Explanation column that reveals how the AI interpreted your prompt and source data.
Save and monitor
Click Save to store your configuration
Turn on Enable automated background enrichment if you have not already done so
Monitor enrichment progress in the Insights tab:
View enrichment coverage statistics
See value distribution across your catalog
Check for validation errors
Track which experiences use this property
The insights dashboard shows exactly how many products have been enriched and provides detailed breakdowns of the generated values.
Review and refine
Check enrichment quality
Review the generated values for accuracy
Look for patterns in the validation errors
Verify that outputs match your expectations
Optimize your prompt
Refine instructions based on actual results
Add examples for edge cases you discovered
Adjust constraints to improve consistency
Monitor performance
Use the Insights tab within output properties to track:
Product Value Insights - See distribution of enriched values
Validation Errors - Identify data quality issues
Connections - Track where this property is used in experiences
Common use cases
Product categorization
Extract categories, styles, or attributes from product titles or descriptions:
Attribute extraction
Pull specific product details from unstructured text:
Content generation
Create marketing copy or enhanced descriptions:
Troubleshooting
AI outputs are inconsistent
Refine your prompt with more specific instructions and examples
Add constraints to limit possible outputs
Test with preview using different product samples
Enrichment isn't running
Check the filter - Add or review Only for these products first, since activation depends on it
Check the toggle - Ensure Enable automated background enrichment is active
Verify filters - Make sure your product filter is not too restrictive
Review inputs - Confirm input properties contain data for your target products
Preview shows errors
Validate prompt syntax - Ensure instructions are clear and actionable
Check input data - Verify input properties have values for preview products
Simplify outputs - Start with fewer output properties to isolate issues
Values don't appear in experiences
Check property connections - Use the Insights tab to see where properties are used
Verify property settings - Ensure target level (Product/Variant) matches your needs
Review validation rules - Make sure generated values pass validation
FAQs
How long does AI enrichment take to process my products?
Processing time depends on your catalog size and prompt complexity. Small catalogs (under 1,000 products) typically complete within minutes, while larger catalogs may take several hours. The system processes products in batches in the background.
Can I use the same property as both input and output?
While technically possible, it's not always recommended as it can cause data conflicts. Create separate properties for inputs and outputs to maintain data integrity and clear audit trails.
What happens if my prompt generates invalid data?
Invalid outputs are can be caught when previewing output. You can refine your prompt and re-run enrichment to fix these issues, or "Remove enriched data" to clear existing AI-generated values if needed.
Can I stop enrichment once it's started?
You can disable "Enable automated background enrichment" to prevent new products from being processed, but you can't cancel in-progress batch operations. Use "Remove enriched data" to clear existing AI-generated values if needed.
How do I know which products have been enriched?
The Insights tab in the output properties shows detailed statistics including total products, value distributions, and coverage percentages. You can also filter the product catalog to show only products that have a value by targeting your output property.
What's the difference between AI Enricher and manual enrichment?
AI Enricher Properties automatically generates values using prompts and existing data, while manual enrichment requires individually assigning values to products. AI Enricher scales better for large catalogs but requires careful prompt engineering for accuracy and user UAT.
What's next
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