Build product schemas faster with AI

Create and maintain your taxonomy and attribute model in one place, with AI assisted attribute suggestions, value lists, and bulk tools for scaling fast.

Create structure that scales

Define product families, attributes, and value rules once, then reuse across categories and sources.

Build faster with AI support

AI helps propose attributes and value lists so you spend less time modelling from scratch.

Keep schemas clean over time

Bulk editing makes it easy to improve naming, formats, requirements, and controlled values as your catalogue evolves.

What you can do in Schemas and Attributes

Attribute schema creation

Build schemas by category or product type with clear attribute definitions, units, and rules.

AI attribute suggestions

Generate recommended attributes based on product type, sources, and existing patterns.

Attribute value suggestions

Create controlled value lists faster using AI assisted suggestions and normalisation.

Auto attribute creation

Create new attributes quickly when new supplier fields or standards introduce new data.

Bulk attribute editing and creation

Add, edit, and manage large attribute sets without slow manual setup.

How it works

Create your taxonomy and product types, then define the attributes that matter for search, filtering, comparison, and compliance.

AI can propose attributes and controlled values based on the category and the sources you’re onboarding, giving you a strong starting point.

Set units, formats, required fields, and controlled value lists so incoming data stays consistent across suppliers and teams.

As your catalogue grows, bulk edit attributes, update rules, and refine value lists without rebuilding schemas from scratch.

FAQs

What is a schema in SKULaunch?

A schema is the structure that defines how products should be described, including attributes, units, required fields, and controlled values for each product type.

How does AI help with schema and attribute creation?

AI can suggest relevant attributes and propose value lists based on the category and the data sources you’re onboarding, so you can build faster and stay consistent.

Can we build different schemas for different product types?

Yes. You can define schemas by category, product family, or product type, depending on how your catalogue is organised.

What are controlled values and why do they matter?

Controlled values keep naming and formatting consistent, for example colour options, materials, or connection types. They improve filtering, search, and data quality.

What happens when suppliers send new fields we don’t have yet?

SKULaunch supports fast attribute creation, including AI assisted suggestions, so your schema can evolve without chaos.

Can we manage attributes in bulk?

Yes. Bulk tools let you create, edit, and refine large sets of attributes and value lists quickly, instead of managing them one by one.