It's not just the software: expert knowledge for seamless IT integration
KI-generiertAI-generatedPIM in the system landscape: End-to-end data processes instead of new silosReading time: 10 minutes
KI-generiertAI-generatedPIM as the foundation for AI: Automating product descriptions with controlReading time: 8 minutes
KI-generiertAI-generatedPIM for SEO: How good product data creates organic visibilityReading time: 7 minutes
KI-generiertAI-generatedPIM in technical trade: Mastering supplier data, ETIM, and BMEcatReading time: 5 minutes
KI-generiertAI-generatedPIM implementation: phases, duration, and common mistakesReading time: 7 minutes
KI-generiertAI-generatedPIM in mechanical engineering: Mastering complex product data with confidenceReading time: 5 minutes
KI-generiertAI-generatedChoosing a PIM system: The key criteria for a sound decisionReading time: 6 minutes
KI-generiertAI-generatedPIM vs. MAM: What is the difference?Reading time: 7 minutes
How to calculate the ROI of a PIM system: The practical guideReading time: 8-10 minutes
The relationship between data quality and success in eCommerceReading time: 2 minutes
Product data, relationships — or: quantity and qualityReading time: 3 minutes
Why your PIM plays a central role in managing your product dataReading time: 7 minutes
How to solve the specific challenges of interface projectsReading time: 6 minutes
Technical product data: The biggest challenges — and how PIM solves themReading time: 3 minutes
The Digital Product Passport (DPP): What companies need to know nowReading time: 8-10 minutes
Create a product catalog: How PIM automates print and PDFReading time: 4 minutes
PIM vs ERP: What's the difference? Do you need both?Reading time: 9 minutes
Product data Excel chaos? 7 warning signs for a PIM systemReading time: 9 minutes
PIM migration: How to transfer product data cleanly to the new systemReading time: 4 minutes
PIM for e-commerce: How better product data increases your conversionReading time: 4 minutes
PIM interfaces: How to integrate PIM with ERP, shop and partnersReading time: 4 minutes
FAQ
Product data management (PDM or PIM) is the process of collecting, maintaining and transmitting all information about products to various channels. Instead of managing product data in Excel spreadsheets, professional product data management uses specialized PIM systems.
A PIM system is necessary if you have more than 500 products, use more than 3 output channels, serve international markets, or product data is maintained by several departments. Excel then reaches its limits.
While Excel appears “free,” there are hidden costs due to manual work, errors, and missed market opportunities. Depending on size, PIM systems cost 15,000-100,000 € per year, but typically pay for themselves within 6-12 months through efficiency gains.
Yes, migrating Excel product data to a PIM system is standard. Professional PIM providers offer migration services that clean, structure, and import your Excel data.
No, not for companies with e-commerce, multi-channel sales or international markets. ERP systems are not optimized for product information management. You can manage basic master data, but not marketing texts, media, or channel-specific content.
No, PIM systems are not built for transactional processes, financial accounting or inventory management. They complement the ERP, but do not replace it.
Integration typically costs 10,000-50,000 € depending on complexity. Standard interfaces (e.g. to SAP, Microsoft Dynamics) are cheaper than custom developments.
For standard interfaces: 2-4 weeks. With custom integration: 2-4 months. The duration depends heavily on the data quality in ERP.