Product enrichment in SKULaunch is the process of improving product information so it is accurate, consistent, and ready to be used across channels.
Enrichment in SKULaunch happens at attribute level, not product level. Rather than treating a product as a single block of information, SKULaunch focuses on enriching individual data points such as classification, specifications, and content attributes.
There are two distinct types of enrichment in SKULaunch: data enrichment and content enrichment. Each serves a different purpose in the product lifecycle.
Data Enrichment
Data enrichment focuses on creating structured, validated attribute values.
It is used to answer factual questions about a product, such as:
• What type of product is this?
• Which category or family does it belong to?
• What are its specifications, dimensions, or materials?
Data enrichment:
• Populates individual attributes
• Uses defined data types, measurements, and lists of values
• Feeds channels, validation rules, and downstream systems
• Is designed for consistency and reuse
Most enrichment activity in SKULaunch starts here. High quality data enrichment creates the foundation for everything that follows.
Content Enrichment
Content enrichment focuses on generating human readable product content using structured data as its input.
It is used to create content such as:
• Website descriptions
• Feature bullets
• Marketing copy
• Channel specific text
Content enrichment:
• Uses existing attributes as inputs
• Produces text suitable for people, not systems
• Is guided by prompts and formatting rules
• Supports consistency and scale
Content enrichment does not invent product facts. It depends on the quality of the underlying data enrichment.
How Enrichment Fits Into the Product Lifecycle
Enrichment typically happens after products have been:
• Created or imported
• Classified into the correct family
• Reviewed for basic structure
A common flow is:
Enrich core data attributes
Validate and review structured values
Generate content using enriched data
Approve products for publishing
This approach ensures content is accurate, repeatable, and aligned with your data model.
Control and Review
All enrichment in SKULaunch is:
• Reviewable
• Editable
• Approachable incrementally
You decide what to enrich, how it is enriched, and when enriched values are approved for use.