PRODUCT INFORMATION MANAGEMENT (PIM)

Create trusted product data for every channel, team, and AI agent

Product Information Management (PIM) centralizes product data from across systems into one governed source of truth. Launch products faster, keep content accurate across channels, and ship trusted product data — to all AI systems and agents that now read it.

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The benefits of PIM

Faster launches
Give teams ready-to-use product data so new products, updates, and localized content can move to market faster with fewer delays.
One trusted product data foundation
Resolve conflicting product data from ERP, CRM, PLM, ecommerce, and other systems into one governed, authoritative record teams can trust.
Consistent product experiences everywhere
Maintain accurate, current product content across channels to protect conversions, reduce errors reaching customers, and support stronger product experience management.
Better governance and operational agility
Use workflows, rules, validations, and governance controls to keep product data structured, consistent, compliant, and easier to manage at scale.
Product data that's ready for AI and agentic commerce
Structure and govern product data so AI systems can use, cite, and act on trusted product information instead of relying on incomplete or conflicting records.

What’s included in PIM

How PIM works

PIM is the hub of Product Experience Data Cloud. It connects product data from surrounding systems, structures it through governance and business rules, validates it into a trusted product record, and delivers that product data to the teams, channels, partners, and AI tools that depend on it.

1. Connect product data from every source

Bring product data together from ERP, CRM, PLM, ecommerce systems, suppliers, and other product data sources.  

2. Model and govern the data

Structure product data around your data model, then apply workflows, business rules, and governance controls to keep it consistent and usable.  

3. Enrich and validate product records

Improve product records with validation, profiling, localization, attributes, relationships, and quality checks before data moves downstream.  

4. Establish the trusted source of truth

Resolve conflicting product data into one governed, authoritative record that teams can rely on across the product data lifecycle.  

5. Deliver trusted product data downstream

Feed accurate, consistent product data to every team, channel, partner, syndication destination, and AI system that needs it.  

PIM in action

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Hager Group built an AI-powered product information backbone


• Unified product information around 200,000 products and 1.7 million governed assets

• Launched a web catalog across 26 markets

• Generated 500,000 automated product data sheets

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Husqvarna Group turned fragmented data into a trusted global foundation


• Unified data across 130 markets

• Manages 1.5 million products and supports 100 integrated applications

• Achieved a 90% increase in data accuracy

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Sonepar Canada improved operational efficiency with trusted product data


• Reduced the time needed to produce high-quality data

• Built a single version of truth for product information

• Improved customer service, decreased costs, and boosted sales

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Related cloud services

Product Information Management FAQ

What product data does a PIM manage?

A PIM manages the product records, attributes, descriptions, classifications, relationships, digital assets, and channel-specific information teams need to create consistent product experiences. Product Information Management centralizes product data from systems such as ERP, CRM, PLM, ecommerce, DAM, suppliers, and other sources into one governed product data foundation.  

Why do I need PIM if I already have an ERP, DAM, and MDM?

ERP, DAM, and MDM systems each manage important parts of the product data ecosystem, but PIM provides the product-specific foundation for managing complete, enriched, channel-ready product information. PIM connects product data across ERP, CRM, PLM, ecommerce, DAM, data pools, syndication channels, and AI systems, helping teams govern product truth without fragmenting it across separate tools.  

What is the difference between PIM and MDM?

PIM focuses on managing product information, including attributes, descriptions, classifications, images, relationships, and channel-ready content. Master data management (MDM) is broader: It governs critical master data across one or more domains, such as product, customer, supplier, location, business partner, and sustainability data. PIM is part of a broader MDM foundation, so product information can be governed and connected across the wider enterprise data landscape.  

What is the difference between PIM and PLM?

PLM manages product lifecycle processes such as product development, engineering, specifications, and change management. PIM manages the governed product information needed to commercialize, enrich, publish, and share product data across channels. PIM can connect to PLM and other systems, so product information can move from operational and engineering contexts into a trusted, channel-ready product data foundation.  

How is Product Information Management at Stibo Systems different from Salsify, Syndigo, Akeneo, or Informatica?

PIM at Stibo Systems is designed as part of an enterprise product data foundation, not just a standalone product-content or syndication tool. It combines product information management with governance, data quality, open architecture, lifecycle connectivity, and broader Product Experience Data Cloud services for onboarding, syndication, ProductGen AI, DAM, and digital shelf analytics. That makes it a stronger fit for organizations managing complex product data across large catalogs, global channels, multiple systems, and long-term digital commerce growth.  

Is Stibo Systems only MDM, or does it really do PIM?

Stibo Systems does both. Product Information Management (PIM) is a core cloud service within Product Experience Data Cloud, and PXDC messaging identifies PIM as the foundation for centralizing, governing, and maintaining trusted product data across the product data lifecycle. Stibo Systems also provides broader multidomain master data management (MDM) capabilities, which means product data can be connected with supplier, customer, location, business partner, and sustainability data when enterprise context matters.  

How do you scale PIM for large catalogs and many channels?

Scaling PIM starts with a governed product data model, clear workflows, strong data quality rules, flexible integrations, and a product data foundation that can support multiple teams, markets, channels, and downstream systems. PIM is built around flexible data modeling, governance, data quality management, open architecture, industry standards support, and connectivity to ERP, CRM, PLM, ecommerce, DAM, data pools, syndication channels, and AI systems.  

How does PIM support product experience management?

PIM supports product experience management, or PXM, by giving teams accurate, governed product data that can be enriched, localized, syndicated, and optimized across customer-facing channels. In Product Experience Data Cloud, PIM acts as the trusted product data foundation for stronger product experiences across ecommerce, marketplaces, digital channels, physical stores, and AI-driven discovery environments.  

Ready to trust your product data?

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