From
Jan Kittelberger
Reading time: 6 minutes
The right PIM system aligns with your product model, processes, IT architecture, and output channels. A reliable selection process therefore doesn't start with vendor demos, but with measurable business goals, clear mandatory criteria, and real-world test scenarios from your company.
Comparing ten vendors based on 300 equally weighted features might produce a precise spreadsheet, but it often leads to the wrong decision. PIM projects rarely fail because a checkbox is missing somewhere. They stall because data ownership, integrations, operations, or editorial processes haven't been clearly defined.
First, define the results you want the PIM to deliver. Examples:
A goal like "centralized data storage" is not enough. It describes a system feature, not a business benefit. Good goals have a baseline value, a target value, and a deadline.
A PIM never works in isolation. It pulls data from source systems and feeds output channels. Before making a selection, you must determine which system is the master for which information.
Typical master: ERP
Typical master: PLM
Typical master: PIM
Typical master: MAM/DAM or integrated PIM/MAM
Typical master: CMS
If this mapping is missing, you end up with duplicate maintenance and conflicting data. In that case, the new PIM just becomes another system in the stack.
The system must reflect your actual product world: product families, variants, order numbers, accessories, spare parts, sets, and relationships. Use real-world examples for this. A valve with 120 variations is more informative than a slide with the term "flexible data model."
Check mandatory fields, value ranges, units, approvals, and channel-specific completeness. The system should not just indicate that data is missing; it should show which products cannot be published in which channel as a result.
Evaluate APIs, import and export mechanisms, event processing, error logs, and monitoring. An API alone does not solve integration. The decisive factors are data mapping, change logic, repeatability, and clear error handling.
Websites, shops, retailers, catalogs, and data sheets all require different excerpts and formats. The PIM must be able to map channel-specific rules without creating a new copy of the data for every channel.
For industry and technical trade, ECLASS, ETIM, BMEcat, DATANORM, or customer-specific exports are essential. Don't just check if a format is "supported." Ask to see how versions, mappings, mandatory fields, and validation errors are handled.
Language inheritance, translation status, delta exports, terminology, and integration with a translation management system are all relevant. With ten languages, exporting to Excel via email quickly becomes a bottleneck.
Clarify how images, documents, rights, versions, and output formats are linked to products. A preview image in the PIM is not proof of robust media management.
Users must be able to identify and complete their tasks quickly. Test interfaces with the actual end users from product management, marketing, or data maintenance. Acceptance is not achieved through training alone; the tool must fit the daily workflow.
Ask about hosting, service levels, updates, release processes, monitoring, backups, support channels, and responsibilities. Going live doesn't mark the end of the project; it’s the start of years of operation.
Don't just compare license fees. Total Cost of Ownership includes implementation, migration, interfaces, customization, training, operations, support, and internal project time. Equally important: when will the first productive use case deliver measurable value?
Use three categories:
Limit your true must-have criteria. If 80 percent of your requirements list is marked as "must-have," you haven't prioritized. Effective knockout criteria intentionally rule out solutions. That might be uncomfortable, but it saves months of evaluation time.
Give the remaining providers the same tasks. A meaningful proof of concept could include:
Evaluate the results, usability, and effort. No pre-prepared standard demo can replace this test.
Guiding question: Does the system map products, variants, and channels?
Recommended weighting: 25%
Guiding question: Does it integrate reliably into the ERP, PLM, CMS, and shop landscape?
Recommended weighting: 20%
Guiding question: Do maintenance, approval, and translation work in day-to-day operations?
Recommended weighting: 15%
Guiding question: Are responsibilities and support reliable?
Recommended weighting: 15%
Guiding question: When will the first benefits be realized in production?
Recommended weighting: 15%
Guiding question: Are implementation and operation economically viable?
Recommended weighting: 10%
The weighting is a starting point, not a universal standard. Integration may be weighted more heavily during an ERP migration, while multilingual capabilities and publishing are prioritized during periods of rapid international growth.
Three to five vendors are usually sufficient for a reliable in-depth evaluation. A longer shortlist increases the workload without necessarily improving the quality of the decision.
You need documented goals, processes, data objects, integrations, quality rules, and operational criteria. Whether the document is called a "requirements specification" is secondary. A simple list of features is not enough.
Not necessarily. What matters is clear overall accountability. If the software vendor, integrator, and operations partner work separately, handovers, liability, and support must be clearly defined.
The duration depends on complexity, stakeholders, and the procurement process. A focused process with a clearly defined scope is significantly faster than an open market search. Discovering requirements during demos only unnecessarily prolongs the selection.
Start with your data and process bottlenecks, not with the vendor market. The PIM Readiness Check evaluates your current situation, system landscape, and areas for action. For economic assessment, our guide How to calculate the ROI of a PIM systemis also helpful.