Introduction to PIM

Definition and Purpose of PIM

Product Information Management (PIM) includes the centralized collection, management, optimization, and distribution of all product-related data for all channels, systems, and target groups. PIM is used to deliver product data in a structured, consistent, and efficient manner across various touchpoints.

Benefits of PIM

• Centralized data storage as well as consistent and complete product data

• Faster processes and shorter time-to-market

• Higher conversion through improved product presentation

• Optimization of marketplace and channel performance

• Creation of a foundation for personalization and AI

Core Components of PIM

A PIM system operates as a hub and consists of the following components:

Data Model

Product types, variants, attribute groups, classifications, localization structures, and media sets.

Workflows

Management of content creation, enrichment, quality testing, translation, and approval.

Interfaces & Integrations

Connection to shop systems (Shopware, Shopify, Magento, VTEX), ERP, CRM, DAM, and marketplace connectors.

Data Quality & Governance

Ensuring data quality through validations, quality rules, and automated checks.

Y1 as a PIM Partner

PIM Consulting

Y1 offers comprehensive support for the further development of product data, processes, and systems:

• Optimization of the data model

• Analysis of existing systems and processes

• Channel management and marketplace optimization

• Consulting on AI-supported data enrichment, translation, and localization processes

• Support in change management and rollout strategies

PIM Health Check

Y1 identifies optimization potentials in existing PIM systems and creates a prioritized action plan:

• Analysis of goals and requirements

• Assessment of data quality

• System fit analysis

• Identification of bottlenecks and risks

• Clear recommendations for action

• Decision support for optimization or system change

PIM System Selection

Y1 structures the selection process to minimize wrong decisions:

• Creation of a quantitative function and requirement catalog

• Assessment of critical processes using user stories (qualitative)

• Creation of long and short lists

• Vendor presentations and budget estimation

• Creation of a management decision template

PIM Scoping

Before the project starts, Y1 creates transparency about scope, effort, and risks:

• Prioritized requirements analysis

• 360° data model assessment and migration concept

• Target process modeling

• Interface design

• Effort estimation and milestone planning

• Definition of project methodology and organization

PIM Implementation

Y1 implements PIM systems in a structured and scalable manner:

• Project management and data modeling

• Integration of ERP, shop, DAM, and marketplace

• Best practice configuration and customization of workflows and dashboards

• Implementation of data quality rules and role management

• Implementation models:

  • MVPIM (50–70 days)

  • Best Practices PIM (80–120 days)

  • EasyPIM (8 days pilot phase)

PIM Demo

Y1 offers compact demos for orientation before selection and scoping:

• Overview of central PIM functions

• Exemplary data models

• Insights into important processes

• Notes on effort, benefits, and implementation