PIM and product data
PIM consulting and roadmaps
Good product information starts long before the online store. It is created, enriched and used across product development, purchasing, engineering, sales, marketing and service. PassProduct helps connect product data, ownership, workflows and systems — and prioritise the right next step.
When is a PIM review useful?
Product data is scattered.
Important information sits in ERP, spreadsheets, documents, emails and supplier records. It is unclear which source to trust.
PIM is live, but the work is disconnected.
The system is in place, yet ownership, the data model and workflows still create bottlenecks.
A system project needs clarity.
You are selecting or changing ERP, PIM, PLM or commerce systems and need to clarify product data requirements and system boundaries.
New uses raise new questions.
DPP, product documentation and AI require you to explain what information means, where it comes from and how it relates to the product.
From product idea to information people can use.
PIM is a discipline across the organisation. Systems support it, but quality depends on shared definitions, ownership, workflows and ongoing maintenance.
Product information develops throughout the product lifecycle: from ideas, development and prototypes through purchasing and production to sales, marketing, service and phase-out. The relevant teams and systems depend on the business.
- Shared definitions, classifications, units and product relationships.
- Clear data ownership and responsibility for creation, review and maintenance.
- Data quality assessed against its intended use.
- Connections between products, variants, materials, documents and versions.
How the systems work together
ERP, PIM, PLM and DAM contribute different information and capabilities. We clarify where data originates, who owns it and how it should flow between systems. Responsibilities are defined around the business’s actual needs and architecture.
A focused engagement with practical priorities.
Understand the need.
Clarify the products, audiences, channels and problems the review needs to address.
Review the connections.
Work with the relevant people to examine a representative sample of product data, the data model, sources, ownership, workflows and systems.
Build a realistic roadmap.
Prioritise improvements, dependencies and responsibilities. Identify what can be resolved through organisational changes, existing systems or new system requirements.
Potential deliverables
Deliverables are agreed according to the scope of the engagement.
- An overview of product data, sources and significant quality issues.
- Recommendations for the data model, product data governance and workflows.
- Clarification of system roles, integrations and data ownership.
- A prioritised roadmap.
- Where needed: a decision framework and requirements for platform selection.
For ERP and implementation partners
ERP and platform projects often surface product data questions that require business understanding and a view of the wider information chain. PassProduct can contribute specialist product data advice before, during and around your delivery.
- The customer needs to clarify product data requirements before the solution is configured.
- Boundaries and data flows between ERP, PIM, PLM, DAM and commerce need to be aligned.
- Data migration requires clear definitions, quality criteria and ownership.
- The customer needs to prepare product data and documentation for DPP or AI use.
A clearly defined collaboration
The scope, responsibilities and customer dialogue are agreed explicitly. PassProduct can contribute to discovery workshops, needs analysis, requirements work and specialist discussions alongside the partner’s project team.
As an independent advisor, PassProduct complements the partner’s expertise.
A stronger data foundation creates more possibilities.
Digital Product Passports
Clarify relevant data needs, documentation and responsibilities for specific products.
AI readiness
Make product information unambiguous and usable for specific questions, with visible sources and limitations.
Product Trust
Connect product data with evidence, provenance, versions and ownership.
PIM supports this work. It does not in itself demonstrate that a product meets legal requirements or guarantee correct AI answers.
Where does your product data get stuck?
Facing product data challenges, a system project or a customer who needs clarity? Let’s discuss your starting point and an appropriate next step.