What is PIM? A Guide to Product Information Management

In this article, we will explore what PIM is, who needs it, and the benefits of using PIM software.

This feature is available for customers on the

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

This feature is available for customers on the

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

What is PIM? A Guide to Product Information Management

On this page

As the e-commerce industry continues to grow, it has become increasingly important for businesses to maintain accurate and consistent product information. This can be a challenge for suppliers and distributors, who may have large product catalogs and sell across multiple channels. However, Product Information Management (PIM) tools can help streamline this process and improve the overall customer experience.  

In this article, we will explore what PIM is, who needs it, and the benefits of using PIM software.

Challenges Faced by Suppliers and Distributors

Suppliers and distributors face several challenges when it comes to managing product information. For example:

  • Data is stored in multiple systems or spreadsheets and takes long to compile, making it difficult to maintain consistency across channels
  • Updating product information can be time-consuming and error-prone, which can lead to customer dissatisfaction or lost sales
  • Creating and designing custom catalogs to send to buyers is very manual and time consuming
  • Struggle to keep up with the data format requirements of different sales channels such as offline retailers and marketplaces
  • Lack of critical insights on overall SKU sales performance

What is PIM and How Does it Work

Product Information Management (PIM) is a software solution that helps businesses centralize and manage their product information. With a PIM, businesses can:

  • Store and centralize product info all in one place
  • Enrich product descriptions and specifications
  • Add images, documents and videos to products
  • Update and distribute product info across different channels and different teams within the organization
  • Create and publish product catalogs for sales & marketing
  • Format product data to use across multiple sales platforms
  • Automate product updates and sync to your brand profile or product catalogs
  • Store and share relevant business and trade documents
  • Find everything in one central database to improve collaboration  
  • Analyze product performance

A PIM software typically includes features such as data import/export and syndication, workflow management, data quality control, and publishing capabilities.

Who Will Benefit from Using PIM

Any business that sells products across multiple channels can benefit from a PIM solution. This includes brand owners, manufacturers, distributors, and wholesalers. In particular, businesses that have a large number of SKUs, sell across multiple regions and languages, or consolidate product data from multiple suppliers may find PIM software especially useful.  

  1. Sales and Marketing – require up-to-date, accurate product data and assets on the go to run campaigns and close deals
  2. Merchandising or Ecommerce – constantly update product content and understand SKU performance to improve assortment
  3. Buyers and business partners – rely on high quality product information to make faster, better procurement decisions

Why Should Businesses Use PIM

There are several key benefits to using a PIM solution. Leveraging PIM can improve productivity across your business by automating repetitive and time-consuming tasks. This means your teams can focus on driving revenue.

1. Increase speed-to-market with clean, centralized data

By ensuring that product information is accurate and consistent across channels, businesses can reduce the risk of customer confusion or dissatisfaction. PIM can also help businesses expand into new markets or sales channels more easily, as product data can be easily syndicated and distributed across different systems.

2. Enhanced product content for sales & marketing activities

The key to closing successful deals lies in providing your buyers with all the product information they need to make purchasing decisions right from the first meeting. PIM ensures that important content as well as rich digital assets like images, videos and documents, are always complete and available.

3. Create catalogs that improves buying experience

When you have a single source of truth for all your product information, you can use that data to optimize sales and marketing through better product pages and catalogs. PIM enables you to generate downloadable catalogs in a few minutes, without the need for any special design tools. All product information updated in PIM will automatically sync, so your catalogs are always up-to-date.

Drive Sales with Better Management of Your Product Data

PIM tools are an essential component of any brand, supplier or distributor that sells products across multiple channels. By centralizing and managing product information, businesses can improve the accuracy and consistency of their product data, reduce errors, and save time.

Keen to explore how a PIM can help your business? Get a demo and see it live.

PIM FAQ

Who should own PIM inside a retail organization?
PIM ownership typically sits at the intersection of ecommerce, merchandising, and data operations. Strong teams assign a single accountable owner while enabling shared inputs across departments to prevent bottlenecks and conflicting standards.

When does PIM become a strategic system rather than an operational tool?
PIM becomes strategic when it directly impacts time-to-market, conversion, and product discoverability across search, marketplaces, and AI-driven channels rather than simply storing product data.

How does PIM impact conversion and product discovery?
PIM improves conversion and discovery by increasing attribute completeness, consistency, and accuracy, which supports better filtering, comparison, SEO performance, and AI-driven recommendations.

Can a PIM reduce product returns?
Yes. More complete and accurate product attributes such as dimensions, compatibility, and usage details help set correct expectations and reduce return rates caused by mismatched products.

Is PIM enough to support AI search and answer engines?
No. PIM provides the structured foundation, but AI search also requires contextual and interpretive data layers that explain products in ways machines and shoppers can understand.

How does PIM fit alongside ecommerce platforms, ERP, and DAM?
PIM acts as the central source of product truth, while ERP manages operational data and DAM manages digital assets. Value comes from orchestrating these systems together rather than treating PIM as a standalone tool.

Why do PIM projects stall or fail in retail?
Most failures occur when manual workflows remain dominant, data standards are unclear, or teams underestimate the effort required to enrich and maintain large catalogs over time.

How long should it take to onboard or enrich products using PIM?
With effective automation and workflows, product onboarding should take hours or days. If enrichment relies heavily on manual effort, speed and scale will remain constrained.

Should enrichment happen inside or outside a PIM?
PIM should govern structure, rules, and validation, while enrichment often works best as a complementary process that feeds high-quality, compliant data back into the PIM.

What’s the difference between managing product data and improving it?
Managing data ensures fields exist and remain organized. Improving data makes it more complete, accurate, and useful for shoppers, search engines, and AI systems.

How should retailers measure ROI from PIM investments?
Retailers should look beyond operational metrics and track SKU launch speed, attribute completeness, PDP conversion, search visibility, and the ability to scale catalogs without adding headcount.

What signals indicate a PIM is limiting growth?
Warning signs include long enrichment cycles, frequent manual cleanup, inconsistent product quality across categories, and difficulty supporting new channels like marketplaces or AI-driven search.

How does PIM need to evolve for AI-first commerce?
PIM must support structured, validated data that can be enriched with context and intent so products are understandable not just to humans but also to AI systems influencing discovery and buying decisions.

What should retailers evaluate before expanding or replacing a PIM?
Retailers should assess whether their current setup supports automation, scales across categories, and adapts to new discovery channels without increasing manual workload or technical debt.

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.

dynamic synthesis
dynamic-synthesis
operational layer
operational-layer
Evidence Layer
evidence-layer
Probabilistic Accuracy
probabilistic-accuracy
Deterministic accuracy
deterministic-accuracy
Product Attribute
product-attribute
Intelligent Product Attribute
intelligent-product-attribute
Factual Product Attribute
factual-product-attribute
Structured Product Attribute
structured-product-attribute
Google MCP (Model Context Protocol)
google-mcp-model-context-protocol
Retrieval-Augmented Generation (RAG)
retrieval-augmented-generation-rag
Product Data Activation (PDA)
product-data-activation-pda
Product Data Architecture (PDA)
product-data-architecture-pda
Context Graph
context-graph
Buy to Detail Rate (BTD)
buy-to-detail-rate-btd
White Label Product
white-label-product
User Experience (UX)
user-experience-ux
UPC (Universal Product Code)
upc-universal-product-code
Third-Party Marketplace
third-party-marketplace
Syndication
syndication
Structured Data
structured-data
Sell-Through Rate
sell-through-rate
Stale Content
stale-content
Search Relevance
search-relevance
Search Merchandising
search-merchandising
SKU-Level Analytics
sku-level-analytics
SKU Rationalization
sku-rationalization
SKU Performance
sku-performance
SKU (Stock Keeping Unit)
sku-stock-keeping-unit
SEO (Search Engine Optimization)
seo-search-engine-optimization
Rich Media
rich-media
Retailer Portal
retailer-portal
Retail Media
retail-media
Retail Content Syndication
retail-content-syndication
Repricing Tool
repricing-tool
Retail Analytics
retail-analytics
Replatforming
replatforming
Real-Time Updates
real-time-updates
Quality Assurance (QA)
quality-assurance-qa
Product Visibility
product-visibility
Product Variant
product-variant
Product Validation
product-validation
Product Upload
product-upload
Product Title Optimization
product-title-optimization
Product Taxonomy Tree
product-taxonomy-tree
Product Taxonomy
product-taxonomy
Product Tagging
product-tagging
Product Syndication Lag
product-syndication-lag
Product Syndication
product-syndication
Product Schema
product-schema
Product Status Tracking
product-status-tracking
Product Page Bounce Rate
product-page-bounce-rate
Product Onboarding
product-onboarding
Product Metadata
product-metadata
Product Matching
product-matching
Product Lifecycle Stage
product-lifecycle-stage
Product Information Management (PIM)
product-information-management-pim
Product Lifecycle Management (PLM)
product-lifecycle-management-plm
Product Info Templates
product-info-templates
Product Import
product-import
Product Feed Validation
product-feed-validation
Product Feed Scheduling
product-feed-scheduling
Product Feed
product-feed
Product Family
product-family
Product Discovery
product-discovery
Product Export
product-export
Product Dimension Attributes
product-dimension-attributes
Product Detail Page (PDP)
product-detail-page-pdp
Product Description
product-description
Product Data Versioning
product-data-versioning
Product Data Syndication Platforms
product-data-syndication-platforms
Product Data Sheet
product-data-sheet
Product Data Quality
product-data-quality
Product Content Management (PCM)
product-content-management-pcm
Product Data Harmonization
product-data-harmonization
Product Content Enrichment
product-content-enrichment
Product Comparison
product-comparison
Product Compliance
product-compliance
Product Channel Fit
product-channel-fit
Product Categorization
product-categorization
Product Bundling
product-bundling
Product Badging
product-badging
Product Attributes
product-attributes
Product Attribute Completeness
product-attribute-completeness
Price Scraping
price-scraping
Personalization
personalization
PDP Optimization
pdp-optimization
PDP Heatmap
pdp-heatmap
PDP Conversion Rate
pdp-conversion-rate
Out-of-Stock Alerts
out-of-stock-alerts
Omnichannel
omnichannel
Omnichannel Strategy
omnichannel-strategy
Net New SKU Creation
net-new-sku-creation
Multichannel Retailing
multichannel-retailing
Metadata
metadata
Mobile Optimization
mobile-optimization
Merchant-to-Merchant (M2M)
merchant-to-merchant-m2m
Marketplace Listing Errors
marketplace-listing-errors
Marketplace Reconciliation
marketplace-reconciliation
Marketplace Compliance
marketplace-compliance
Marketplace
marketplace
MAP Pricing (Minimum Advertised Price)
map-pricing-minimum-advertised-price
Localization Tags
localization-tags
Long-Tail Keywords
long-tail-keywords
Listing Optimization
listing-optimization
Lifecycle Automation
lifecycle-automation
Key Performance Indicator (KPI)
key-performance-indicator-kpi
Inventory Management
inventory-management
Intelligent Search
intelligent-search
Image Optimization
image-optimization
Hyperpersonalization
hyperpersonalization
Headless Commerce
headless-commerce
Generative Engine Optimization (GEO)
generative-engine-optimization-geo
Generative AI
generative-ai
Fuzzy Search
fuzzy-search
GTM (Go-to-Market) Strategy
gtm-go-to-market-strategy
GTIN (Global Trade Item Number)
gtin-global-trade-item-number
Flat File
flat-file
First-Party Data
first-party-data-a51e9
First-Party Data
first-party-data
First-Mile Fulfillment
first-mile-fulfillment
Feed Testing Environment
feed-testing-environment
Feed-Based Advertising
feed-based-advertising
Feed Optimization Tool
feed-optimization-tool
Feed Management
feed-management
Feed Diagnostics
feed-diagnostics
Faceted Search
faceted-search
ERP (Enterprise Resource Planning)
erp-enterprise-resource-planning
Explainable AI
explainable-ai
Enrichment Rules
enrichment-rules
Enhanced Brand Content (EBC)
enhanced-brand-content-ebc
EPID (eBay Product ID)
epid-ebay-product-id
EAN (European Article Number)
ean-european-article-number
E-commerce Platform
e-commerce-platform
Dynamic Pricing
dynamic-pricing
Duplicate Content
duplicate-content
Direct-to-Consumer (DTC)
direct-to-consumer-dtc
Drop Shipping
drop-shipping
Digital Transformation
digital-transformation
Digital Shelf
digital-shelf
Digital Asset Management (DAM)
digital-asset-management-dam
Data Syncing
data-syncing
Data Normalization
data-normalization
Data Mapping
data-mapping
Data Governance
data-governance
Data Feed Transformation
data-feed-transformation
Data Feed Rules
data-feed-rules
Data Feed Error Report
data-feed-error-report
Data Enrichment Pipeline
data-enrichment-pipeline
Data Drift
data-drift
Data Deduplication
data-deduplication
Data Clean-up
data-clean-up
Customer Experience (CX)
customer-experience-cx
Conversion Rate
conversion-rate
Content Scalability
content-scalability
Content Localization
content-localization
Content Governance
content-governance
Content Gaps
content-gaps
Consumer-to-Merchant (C2M)
consumer-to-merchant-c2m
Channel-Specific Optimization
channel-specific-optimization
Channel Readiness
channel-readiness
Category Mapping
category-mapping
Catalog Management
catalog-management
Buy Now, Pay Later (BNPL)
buy-now-pay-later-bnpl
Breadcrumb Navigation
breadcrumb-navigation
Automated Categorization
automated-categorization
Automated Content Generation
automated-content-generation
Automated Workflows
automated-workflows
Blacklisting (in feeds)
blacklisting-in-feeds
Attribution Tags
attribution-tags
Attribute Standardization
attribute-standardization
Answer Engine Optimization (AEO)
answer-engine-optimization-aeo
Artificial Intelligence (AI)
artificial-intelligence-ai
Attribute Mapping
attribute-mapping
Agentic E-commerce
agentic-e-commerce
A/B Testing
a-b-testing
API (Application Programming Interface)
api-application-programming-interface
AI Overviews
ai-overviews
AI Tagging
ai-tagging
AI Agents
ai-agents
AI Indexing
ai-indexing