PIM Systems

Struct PIM System: Video, Data Model & API Examples

Detailed technical review of Struct PIM system including configurable product models, API capabilities, and real-world implementation insights.

Published January 15, 2025
15 min read
Sivert Kjøller Bertelsen
Struct
Configurable
PIM
Technical Review
API

Platform Overview

Struct PIM emphasizes configurable product models that can represent product/variant hierarchies with flexible attribute scoping. Founded in Denmark, Struct provides a cloud-native solution hosted on Microsoft Azure with strong Nordic market presence and focus on retail/wholesale scenarios.

The platform's Product Structure system acts as a blueprint describing tabs, sections, and attributes that make up Products and Variants. This configurable approach allows businesses to model complex product hierarchies while maintaining data consistency through Business Rules and Enrichment Insights.

Key Facts

  • Founded: 2010s
  • Headquarters: Denmark
  • Infrastructure: Microsoft Azure cloud-native
  • API: REST with comprehensive Swagger documentation
  • Deployment: Single-tenant SaaS containers
Struct PIM login page interface

Struct PIM login page interface

The Struct login interface demonstrates the clean, modern design approach of this Azure-hosted PIM platform.

Struct Data Model

Core entities in Struct's configurable data model with flexible product structures and relationships

EntityVendor NameDescriptionKey AttributesRelationships
Product Structure
Product StructureBlueprint describing tabs, sections and attributes that make up Products and Variants
tab definitions
section layout
attribute configuration
defines Product schema
configures Variant structure
Product
ProductSellable SKU that can be simple or part of Variant Groups with configurable attributes
structure-defined fields
localized values
segmented data
follows Product Structure
member of Variant Group
categorized in Catalogues
Variant
VariantLevel beneath Product when variations such as size/color are needed
variant attributes
inherited values
override data
child of Product
member of Variant Group
Variant Group
Variant GroupLogical bundle of variants; useful for 3-level variant sets
group configuration
variant relationships
shared attributes
contains Variants
organizes product hierarchy
Global List
Global ListReusable list of key-value pairs with complex sub-attributes for custom entities
list items
complex attributes
sub-attribute structure
used by list attributes
provides controlled vocabularies
Catalogue
CatalogueAssortment tree mapping products to channels with channel-specific attribute scoping
channel mapping
attribute scope
category structure
contains Categories
scopes Product attributes

New to PIM systems?

Before diving into Struct specifics, you might want to read our detailed guide to PIM systems to understand the fundamentals and key concepts.

Read PIM Systems Guide

Platform Demo & Interface

Watch this comprehensive demo showcasing Struct PIM covering the basic user activities: finding products, enriching products, merchandising products, and publishing products. Recorded on a cloud-hosted Struct 3 environment in January 2023.

The demo highlights Struct's configurable product structures and the flexible attribute scoping system that supports localization and market segmentation.

"I really like the product overview that typically has several tabs and sections. Related entities and attribute values blend together in a great way, providing excellent user experience."
SB
Sivert Kjøller Bertelsen
PIM Implementation Expert
Struct Attribute Types

Complete list of attribute types available in Struct with localization and segmentation capabilities

Common NameVendor NameDescriptionOperatorsExamples
Text
TextText fields with varying length and rich text formatting capabilities
Equals
NotEquals
Contains
StartsWith
IsNull
NotNull
Product name
Description
SKU
Number
NumberNumeric fields supporting integers and decimals
Equals
NotEquals
GreaterThan
LessThan
Between
IsNull
NotNull
Price
Weight
Quantity
Boolean
BooleanTrue/false checkbox field
Equals (true/false)
IsNull
NotNull
Is active
Featured
Discontinued
Date
DateDate and datetime fields with timezone support
Equals
NotEquals
GreaterThan
LessThan
Between
IsNull
NotNull
Launch date
Last modified
Expiry date
Single Select
GlobalListValueSingle selection from a Global List with complex sub-attributes
Equals
NotEquals
In
NotIn
IsNull
NotNull
Brand
Category
Status
Multi Select
GlobalListValue (multivalue)Multiple selections from a Global List when multivalue setting is enabled
In
NotIn
IsNull
NotNull
Features
Materials
Certifications
Asset Reference
MediaReferences to assets stored in built-in Media Archive with automatic resizing and CDN delivery
IsNull
NotNull
Product images
Videos
Documents
Entity Reference
ProductReference, VariantReference, CategoryReference, AttributeReference, CollectionReferenceReferences to other products, variants, categories, or other entities within the system
Equals
NotEquals
In
NotIn
IsNull
NotNull
Related products
Cross-sell items
Replacement products
Collection
TagCollectionString array for tag-based categorization and labeling
Contains
NotContains
IsNull
NotNull
Tags
Keywords
Labels
Complex Object
ComplexAttributeStructured data containers with configurable sub-attributes for complex business data
IsNull
NotNull
Technical specifications
Nutrition facts
Configuration data
List
ListA list of values, where each value is defined by a template attribute.
IsNull
NotNull
Component lists
Ingredient lists
"Central to Struct is the product list with many attribute types and inheritance. Custom records are modeled as Global Lists. Setting up Global Lists based on complex attribute types gives almost the same modeling capabilities on custom records as on products."
SB
Sivert Kjøller Bertelsen
PIM Implementation Expert

API Implementation Details

Authentication & Security

Struct uses API key authentication with X-Api-Key header. Keys are scoped to granular endpoint permissions, providing fine-grained access control for different integration scenarios.

RESTful Resource Architecture

Struct follows a more traditional REST approach with direct resource endpoints like /browse/products and /products/{id}/attributevalues. This provides intuitive navigation patterns where product browsing and detailed attribute retrieval are separate, clearly defined operations. The API structure mirrors typical e-commerce patterns, making it accessible to developers familiar with standard REST conventions.

Simplified Data Access Patterns

Unlike query-driven systems, Struct's API emphasizes direct resource access with pagination through standard page parameters. Product data retrieval follows a two-step pattern: browse for product lists, then fetch detailed attribute values per product. This approach is more straightforward for simple integration scenarios but may require more API calls for complex filtering requirements.

Search & Filtering

The POST /api/search endpoint accepts JSON Query DSL combining Filters and Expressions. Full-text search is supported via /api/search/fulltext, enabling comprehensive product discovery capabilities.

Localization & Segmentation

Attribute values can be scoped by Language, Market (Channel), and Dimension contexts defined by Attribute Scope. This provides powerful multi-market and multi-language support without data duplication.

Business Rules Engine

No-code rule engine automates value calculation, validation, and workflow triggers. This enables complex business logic implementation without custom development.

Webhooks & Synchronous Event Architecture

Webhooks can be created via Settings → Webhooks or POST /api/webhooks. Events are delivered with HMAC signatures for security. Importantly, Struct sends webhook events in the same "batch" as the original operation - if you bulk update 25 products, you receive one webhook event containing all 25 products. This differs from most PIM systems that emit individual events per entity change through separate event layers. This synchronous approach means that when middleware caching is implemented (which is recommended for performance), events may need to be routed around Struct entirely to maintain real-time data consistency, as the webhook timing is tied directly to the API operation flow.

API Usage Example

Example showing how to update a product using Struct's REST API with PowerShell

powershell
# Update product name using Struct PIM API
$apikey = "<api_key>"
$body = @(
  @{ id = 98765; attributes = @{ Name = @{ en = "New product title 2025" } } }
) | ConvertTo-Json

Invoke-RestMethod -Uri "https://acme.struct.com/api/products" `
                  -Method Patch `
                  -Headers @{"x-api-key"=$apikey; "Content-Type"="application/json"} `
                  -Body $body

API Search Example: Find Product by Attribute

Example showing how to search for products by a specific attribute value using Struct's Search API and JSON Query DSL.

powershell
# Search for products using Struct PIM API
$apikey = "<api_key>"
$searchBody = @{
    Query = @{
        Expressions = @(
            @{
                FieldName = "sku"
                Operator = "Equals"
                Value = "SKU-12345"
            }
        )
    }
} | ConvertTo-Json -Depth 5

Invoke-RestMethod -Uri "https://acme.struct.com/api/search" `
                  -Method Post `
                  -Headers @{"x-api-key"=$apikey; "Content-Type"="application/json"} `
                  -Body $searchBody

Technical Specifications

Azure-Native Architecture

Hosted on Microsoft Azure with single-tenant containers providing enterprise-grade security and performance. Multi-region deployment options available for global organizations.

Built-in Media Archive

Integrated DAM with dynamic resizing, WebP conversion, and CDN-friendly signed URLs. AI tagging via Azure Cognitive Services plug-in provides automated metadata enrichment.

Enrichment Insights

Rule-based scoring system delivers completeness percentages (0-100%) per product, variant, and catalogue. Built-in Amazon Vendor and CSV marketplace exporters include validation and readiness indicators.

Bulk Operations

Bulk updates through /api/products/bulk and /api/variants/bulk endpoints support up to 5,000 entities per call, enabling efficient large-scale data management.

"As mentioned in their documentation: 'The API is built for updating and reading large amounts of data in short time with extended support for batching.' However, they recommend not using the API as a direct source for presentation. In my experience, there's really no way to set up Struct without middleware for performance optimization."
SB
Sivert Kjøller Bertelsen
PIM Implementation Expert

Limitations & Implementation Considerations

API Performance Requirements

While Struct provides comprehensive REST API capabilities, the platform explicitly recommends against using the API as a direct source for presentation layers. Most real-world implementations require middleware for performance optimization, adding architectural complexity and development overhead.

Bulk Operation Constraints

The 5,000 entity limit per bulk operation may hinder large catalog management scenarios. Organizations with extensive product catalogs may need to implement complex batching strategies for efficient data operations.

Nordic Market Focus

Strong Nordic market presence may limit global feature development priorities. Organizations outside the Nordic region should evaluate whether the platform's roadmap aligns with their specific market requirements and compliance needs.

No Native Currency/Price Attribute

Lack of dedicated currency or price attribute types requires custom modeling approaches for financial data, potentially complicating pricing workflows and multi-currency scenarios.

Azure Dependency

Single-tenant Azure hosting provides security benefits but limits deployment flexibility. Organizations requiring on-premises deployment or alternative cloud providers have no options.

Commercial Considerations

While pricing transparency is appreciated, the usage-based model can become expensive for high-volume scenarios. For detailed pricing strategies and negotiation approaches, refer to our comprehensive SaaS negotiation guide.

Key Benefits & Strengths

Product Structure Flexibility

Product Structures function as dynamic blueprints that define attribute groups, required fields, and validation rules. This enables different product types to have tailored data models while maintaining consistency within categories.

Azure-Native Architecture

Built specifically for Microsoft Azure with native integration to Azure services. This provides enterprise-grade security, compliance capabilities, and seamless integration with Microsoft business applications.

Global Lists for Master Data

Global Lists (brands, suppliers, categories) provide centralized master data management with hierarchical structures. These lists support complex business rules and can be shared across multiple product structures.

Intuitive User Experience

Clean, modern interface designed for business users rather than technical administrators. The configurable dashboard and simplified navigation reduce training requirements and improve user adoption.

Transparent Pricing Model

All prices available on web page.

Strong API Foundation

Comprehensive REST API with bulk operations support, though API performance may require middleware layers for high-volume presentation layer integrations. Good for back-office integration scenarios.

Sivert Kjøller Bertelsen

Sivert Kjøller Bertelsen

PIM Implementation Consultant • Multiple Struct implementations

"Struct excels at providing a clean, intuitive product overview with excellent attribute organization. The Global Lists approach for custom entities is clever, and the Azure-native architecture ensures solid performance. However, the API performance limitations mean you'll need middleware for most real-world scenarios. The platform strikes a good balance between functionality and usability for mid-market organizations."

Verified implementation experienceJanuary 2025

Sources (3)

[1]
Struct Official Website
Struct(2025)Website
[2]
Struct Documentation
Struct(2025)Documentation
[3]
Struct API Reference
Struct(2025)API Documentation

Related Articles

Complete guide to Product Information Management systems. Learn what PIM is, how it works, key benefits, and how to choose the right PIM system for your business.

PIM
Product Information
Guide
Read Article

My take on comparing inriver, akeneo, salsify, pimcore, struct, bluestone, syndigo - including data models, attribute types, custom entity support, and API capabilities. System analysis based on my experience and vendor documentation.

PIM
Comparison
Data Model
Read Article

Practical guide to PIM system selection focusing on data model testing, attribute requirements, and vendor-neutral evaluation criteria.

PIM
Selection
Guide
Read Article

About This Article

Category: PIM Systems

Review Status: Published

Related PIM Systems: struct

Related Articles: 3 related articles available

Sivert Kjøller Bertelsen

Ready to Transform Your Product Data Management?

Let's discuss how Impact Commerce can help you achieve your digital commerce goals.