product-modeling

name	product-modeling
description	Product type design, attribute selection, and variant planning for Saleor. Use whenever user mentions products, variants, SKUs, attributes, catalogs, or product types. Not for YAML syntax (use configurator-schema) or CLI commands (use configurator-cli). Use when this capability is needed.
metadata	{"author":"saleor"}

Saleor Domain Modeling

Overview

This skill helps you design your product catalog structure in Saleor -- choosing the right product types, attributes, variants, categories, and collections. The key decisions are what makes a product vs. a variant, and which attribute type to use for each field.

When to Use

• "How do I model my products?"
• "What attributes should I use?"
• "Product vs variant attributes?"
• "When to use DROPDOWN vs MULTISELECT?"
• "How to structure my product types?"
• "Categories vs Collections?"
• "When to use Models (Pages) vs Attributes?"
• When NOT looking for YAML syntax -- use configurator-schema instead
• When NOT looking for CLI commands -- use configurator-cli instead

The Core Flow

This is the most important relationship to understand:

1. ATTRIBUTES (define fields)
   └── Reusable typed fields: Size (DROPDOWN), Color (SWATCH), Brand (DROPDOWN)

2. PRODUCT TYPES (define structure)
   └── Assign attributes:
       ├── productAttributes: Brand, Material (same for all variants)
       └── variantAttributes: Size, Color (create SKU combinations)

3. PRODUCTS (create items)
   └── Instance of a ProductType:
       ├── Set values: Brand="Nike", Material="Cotton"
       └── Define variants with SKU combinations

4. VARIANTS (purchasable SKUs)
   └── Each combination = 1 variant:
       ├── SKU: "TSHIRT-BLK-M" → Size="M", Color="Black", Price=$29.99
       └── SKU: "TSHIRT-WHT-L" → Size="L", Color="White", Price=$29.99

Key insight: Attributes are building blocks. ProductTypes assemble them into templates. Products are instances. Variants are what customers buy.

Decision Framework: Product vs Variant Attributes

This is the most critical modeling decision.

Use Product-Level When:

Question	If YES, use Product Level
Same value for all sizes/colors?	Brand, Material, Manufacturer
Descriptive information?	Care Instructions, Specs
For filtering/categorization only?	Style, Gender, Season

Use Variant-Level When:

Question	If YES, use Variant Level
Creates a separate purchasable item?	Size, Color, Storage
Affects price?	Size (XL costs more), quality tier
Needs separate inventory tracking?	Each size needs its own stock
Customer selects this at checkout?	Color picker, size selector

Quick Decision Matrix

Attribute	Product	Variant	Why
Brand	x		Same for all variants
Size		x	Creates separate SKUs
Color		x	Creates separate SKUs
Material	x		Usually same for product
Storage (64GB/128GB)		x	Different prices
Care Instructions	x		Same for all variants
Weight		x	May differ per size

Attribute Type Selection

Saleor supports 12 attribute input types. Use this decision tree:

Is it a CHOICE from predefined options?
├── YES: Can user select MULTIPLE?
│   ├── YES → MULTISELECT
│   └── NO: Is it a COLOR/PATTERN?
│       ├── YES → SWATCH
│       └── NO: Is it YES/NO?
│           ├── YES → BOOLEAN
│           └── NO → DROPDOWN
└── NO: Is it a NUMBER with units?
    ├── YES → NUMERIC
    └── NO: Is it a DATE?
        ├── YES → DATE (or DATE_TIME if time needed)
        └── NO: Is it long formatted text?
            ├── YES → RICH_TEXT
            └── NO: Is it a file/document?
                ├── YES → FILE
                └── NO: Link to another entity?
                    ├── YES → REFERENCE
                    └── NO → PLAIN_TEXT

For the complete attribute type reference, see references/attribute-types-deep-dive.md.

Variant Matrix Planning

Before creating variants, calculate the SKU explosion:

SKU Count = Value1 x Value2 x Value3 x ...

Example: T-Shirt
- Sizes: XS, S, M, L, XL, XXL (6)
- Colors: Black, White, Navy, Gray, Red (5)
- SKUs: 6 x 5 = 30 variants per product

SKU Count	Assessment	Recommendation
1-10	Manageable	Good for most products
11-50	Moderate	Fine for fashion, needs inventory planning
51-100	High	Consider splitting into multiple products
100+	Too many	Simplify -- move some attributes to product level

Tips for high counts: Split by product line, reduce dimensions, move non-purchasable attributes to product level.

Industry Patterns

Quick reference for common store types:

Pattern	Product-Level Attrs	Variant-Level Attrs	Typical SKUs
Apparel	Brand, Material, Care	Size, Color	30/product
Electronics	Brand, Screen, Processor, Features	Storage, Color	20/product
Furniture	Brand, Style, Capacity, Dimensions	Fabric, Color	16/product
Food & Beverage	Origin, Roast, Flavor, Certifications	Size, Grind	12/product
Digital Products	Publisher, Platform, Features	License Type, Duration	9/product

For complete YAML examples of each pattern, see references/industry-patterns.md.

Categories vs Collections

Both organize products, but they serve different purposes:

Aspect	Category	Collection
Structure	Hierarchical (tree)	Flat (list)
Assignment	1 product = 1 category	1 product = many collections
Purpose	Taxonomy, navigation	Merchandising, promotions
Examples	Electronics > Phones > Smartphones	"Summer Sale", "New Arrivals"

Use Categories for main site navigation, browse/filter structure, SEO URLs. Use Collections for curated groups, promotions, campaigns, temporary groupings.

Keep category trees to 3 levels deep. If you need a 4th level, consider using Collections instead.

Models and Structures

Models (Pages/PageTypes) let you create custom entities beyond products -- like Brands, Ingredients, or Scent Profiles. Use them when data is shared across many products, has its own attributes, and needs its own page.

Structures (Menus) assemble Categories, Collections, Models, and URLs into navigation hierarchies.

For complete guidance and examples, see references/models-and-structures.md.

Workflow: Designing a New Product Type

1. List all product characteristics -- write down every field/attribute
2. Categorize each -- apply the decision framework (product vs variant)
3. Select types -- use the attribute type decision tree
4. Calculate SKU count -- ensure the variant matrix is manageable
5. Write the YAML -- create the ProductType configuration
6. Validate -- deploy with --plan to check structure

Common Mistakes

Mistake	Fix
Over-dimensioning variants (6 sizes x 10 colors x 4 materials = 240 SKUs)	Move non-purchasable attributes to product level. Aim for under 50 SKUs.
Using variant attributes for non-inventory fields	If it doesn't create a separate SKU (like Care Instructions), it's a product attribute
Product attributes that should vary	If value differs by size (e.g., Weight), move to variant level
Too many product types	Reuse types when products share the same attribute structure
Skipping variant planning	Always calculate SKU count before creating product types

Additional Resources

Reference Files

• references/attribute-types-deep-dive.md -- complete attribute type reference
• references/industry-patterns.md -- detailed YAML for 5+ industries
• references/models-and-structures.md -- Models and Structures guide

Examples

• examples/fashion-product-types.yml -- apparel product types
• examples/electronics-product-types.yml -- tech product structures
• examples/perfume-store-models.yml -- Models for custom entities
• examples/navigation-structures.yml -- Menu configurations

Related Skills

• configurator-schema - Complete YAML schema reference
• saleor-domain - Entity relationships and Saleor concepts
• configurator-recipes - Complete store templates

---

Converted and distributed by TomeVault — claim your Tome and manage your conversions.