Custom Product Categories for Better Data & AI Classification

Your Product Categories Should Match Your Business. Now They Can.

This feature is available for customers on the

Enterprise

Tier or higher. Reach out to book a demo with our sales team today.

This feature is available for customers on the

Enterprise

Tier. Reach out to book a demo with our sales team today.

Custom Product Categories for Better Data & AI Classification

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If you’ve worked with large product catalogs, you already know this: Category structure drives everything.

Search, filtering, enrichment, PDP structure, even how AI understands your products.

The challenge is, most systems rely on a one-size-fits-all taxonomy.

And that doesn’t hold up in the real world.

Introducing Custom Categories in Trustana

You can now use your own category tree as the foundation for enrichment.

Previously, generic taxonomy was the default and something more compledx businesses had to work around.

Now, you can use your structure, your business logic, and your system for getting the work done in line with brand standards.

Whether your categories come from your ERP, e-commerce platform, or internal processes, you can now bring them directly into Trustana and use them as the primary framework for classification and enrichment.

Why this matters

Most teams we work with don’t operate on a massive, generic category tree.

They have, focused product ranges, defined hierarchies, and specific ways of organizing products that fit their place in the market and unique business approach.

Having to utilize a broad taxonomy can cause several issues with larger orgnaizations. The things that break down as a result include:

  • Irrelevant category options create confusion
  • Classification becomes inconsistent
  • Teams start working around the system instead of with it

The addition of Custom Categories in Trustana removes that friction.

What you can do with Custom Categories

There's a lot that this update unlocks. First and foremost, you can import your own category tree with a simple CSV and start using it immediately.

From there:

  • Your category structure drives enrichment and attributes
  • Attributes are applied based on category logic (global, inherited, direct)
  • AI uses your category definitions to improve classification accuracy
an image detailing what Trustana users can now do with custom category functionality

You can also add up to 4 secondary category trees (for Shopify, GS1, marketplaces, etc.), map products across multiple systems without imapcting core structure, and include reference data to guide classificaation.

When it comes to the products themselves, those are assigned to leaf-level categories only, so classification remains clean and consistent.

How to Use Custom Categories

Not every team is starting from scratch. That’s why we included support for custom categories in three modes:

  • Google (legacy)
  • Transition (both visible)
  • Custom (fully migrated)

This way, you can move at your own pace under the guiding philosophy that when your category structure is aligned, everything downstream improves, enrichment becomes more efficient and the AI powering our platform works with greater focus, speed, and accuracy.

Custom Categories FAQ

What are Custom Categories in Trustana?

Custom Categories allow you to use your own product taxonomy as the primary structure for classification, enrichment, and attribute assignment.

Instead of relying on a generic category system, your internal category tree becomes the foundation for how products are organized and enriched.

How are Custom Categories different from standard taxonomies?

Standard taxonomies are broad and designed to fit many industries.

Custom Categories are:

  • Tailored to your product range
  • Aligned with your ERP or storefront structure
  • Focused on relevant category nodes only

This improves both classification accuracy and usability.

How do I upload my category tree?

You can import your taxonomy using a CSV template that includes:

  • Category ID
  • Node name
  • Parent relationship
  • Optional descriptions and reference fields

Once uploaded, the structure is immediately available for use.

How deep can my category tree be?

Custom category trees can support:

  • Up to 7 levels of hierarchy
  • Around 5,000 nodes per tree (recommended)

This provides flexibility without unnecessary complexity.

Can I still use multiple category systems?

Yes. You can configure:

  • One main category tree (drives enrichment and attributes)
  • Up to 4 secondary category trees (for Shopify, GS1, marketplaces, etc.)

Secondary trees are used for classification and mapping, not for attribute logic.

What is the difference between main and secondary category trees?

The main category tree:

  • Drives attribute assignment
  • Determines PDP structure
  • Powers AI enrichment

Secondary category trees:

  • Are used for classification only
  • Support multi-channel mapping
  • Do not affect attribute logic

How does category-based attribute assignment work?

Attributes are applied based on three layers:

  • Global: Applies to all products
  • Inherited: Comes from parent category nodes
  • Direct: Assigned to the exact category

Together, these determine which attributes are available for each product.

Can products be assigned to any category level?

No. Products must be assigned to leaf nodes only (categories without children).

This ensures:

  • Clean classification
  • Accurate attribute application
  • Consistent enrichment behavior

Can a product belong to multiple categories?

Each product is assigned to one category in the main tree.

If you need multiple categorizations (for discovery or distribution), you can use secondary category trees.

Does this improve AI classification accuracy?

Yes. A focused category tree reduces irrelevant options, helping AI make more accurate classification decisions.

Descriptions and reference fields can also be added to provide more context for classification.

What are reference fields used for?

Each category node can include up to 3 reference fields, which can store:

  • URLs
  • Tags
  • Internal metadata

These can be used for enrichment context or exported alongside product data.

What are the different category modes?

There are three modes:

  • Google: Uses the default taxonomy (legacy)
  • Transition: Allows both Google and custom categories
  • Custom: Fully uses your category tree for enrichment and attributes

New accounts are set up using Custom mode.

Can I migrate from an existing taxonomy?

Yes. You can use Transition mode to gradually move from a standard taxonomy to your custom category tree without disrupting workflows.

How does this impact enrichment costs?

Each category classification uses credits.

With a more focused category tree:

  • Classification is more accurate
  • Fewer re-runs are needed
  • Overall enrichment becomes more efficient

Who benefits most from Custom Categories?

This is especially valuable for:

  • B2B distributors with structured product catalogs
  • Retailers with defined category hierarchies
  • Teams managing multiple systems (ERP, e-commerce, marketplaces)

Why does this matter for product data overall?

Your category structure determines how products are classified, which attributes apply, and how products are discovered

Getting this right improves everything downstream.

Get an Expert Review of Your Product Data

Get practical guidance on improving catalog quality, enrichment workflows, and AI readiness based on your current setup.

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