PLM to PIM handover: which product attributes move when, and who owns them?
A practical guide to the PLM to PIM handover in fashion: the attributes that move at each milestone, who owns them, and how to keep sell-in and e-commerce data consistent.
KEY TAKEAWAYS Summary by the editors
- PLM holds internal technical data such as bills of materials, specifications and drawings, while PIM holds customer facing data such as names, descriptions, images and specifications; the handover is the point where development data becomes commercial data.
- The handover works best in stages tied to milestones (line adoption, sales sample, production order, launch) rather than as one transfer at the end of development.
- Every attribute should have exactly one owning system and one owning team at any time; after handover, corrections to composition or measurements should flow from PLM, not be patched in the PIM.
- GS1 requires a separate GTIN for each size, colour and combination, so the handover must create a complete size and colour matrix with identifiers before wholesale or marketplace data can be sent.
- AI features that extract tech pack data from drawings, such as those PTC announced for FlexPLM in January 2026, raise the volume of structured PLM data, which makes a clear handover contract more rather than less important.
In the PLM to PIM handover, technical development data (composition, measurements, colourways, suppliers) moves from the product lifecycle management system into the product information management system, where it is enriched into commercial data (names, copy, images, channel attributes). It works best in stages tied to milestones, with each attribute owned by exactly one system and one team at any given time.
What is the difference between PLM and PIM data?
A Centric Software explainer summarises the split clearly: PIM manages customer facing data such as product names, descriptions, photos and specifications, while PLM manages internal technical and operational information such as CAD drawings, technical specifications and bills of materials. In practice the two overlap on a set of shared attributes, and that overlap is where errors start.
Composition is the classic example. It is defined in PLM through the bill of materials, but it also appears on care labels, in wholesale catalogues and on product pages. If merchandising or e-commerce teams retype it in the PIM, two versions exist, and only one of them is linked to the supplier's actual fabric.
Which attributes move at which milestone?
A staged handover reflects the fact that commercial teams need some data long before development is complete. Wholesale teams, for example, often need line sheet data for the sales campaign while production details are still open.
| Milestone | Attributes moving to PIM | Owner after handover | Typical consumer |
|---|---|---|---|
| Line adoption | Style number, working name, category, colourways, planned sizes, target wholesale and retail price | PLM (style, colour), merchandising (prices) | Line sheets, sales planning |
| Sales sample ready | Sketch or 3D render, sample images, main composition, key features | PLM (composition), PIM (copy, images) | Sales campaign, pre-order |
| Production order | Final bill of materials, full composition by component, country of origin, care, size matrix with GTINs | PLM and sourcing | EDI catalogues, labels, compliance |
| Pre-launch | Measurements and fit notes, final images, channel attributes, translations | PIM and e-commerce | Webshop, marketplaces, retailer portals |
| In season | Corrections, carry-over flags, discontinuation | Originating system | All channels |
The size matrix deserves special attention. GS1 states that each size, each colour and each combination needs its own GTIN. Marketplaces such as Zalando use the EAN as their primary identifier and expect a mandatory image set and category specific attributes. Until the matrix and identifiers are complete in the PIM, no outbound channel can be served properly.
Who should own each attribute?
Ownership has two dimensions: the system that is the master for an attribute, and the team accountable for its correctness. A workable rule set:
- Technical attributes (composition, bill of materials, measurements, supplier, origin): mastered in PLM and sourcing, read only in PIM.
- Commercial attributes (product names, descriptions, selling points, images, channel categories): mastered in PIM, owned by e-commerce or content teams.
- Pricing: mastered in ERP or pricing tools, referenced but not edited in PIM.
- Regulatory attributes (care, origin, future Digital Product Passport fields): mastered upstream, with a named compliance owner who signs off.
The most important consequence is directional: once an attribute has been handed over, corrections go back to the master system. A wrong composition is fixed in PLM and flows again, rather than being patched in the PIM, where the fix would never reach labels or supplier documents.
How do you set up the integration step by step?
- Write an attribute contract. List every shared attribute with master system, owner, milestone, format and allowed values. This document matters more than the integration technology.
- Align vocabularies. Map PLM value lists (colours, fibres, fits) to PIM and channel vocabularies. Shared industry classifications can serve as a neutral reference, and every new value added in PLM should be mapped before the next transfer runs.
- Define triggers. Decide whether status changes in PLM (for example "adopted" or "approved for production") push data automatically, or whether transfers run on a schedule.
- Lock mastered fields. Make PLM mastered attributes read only in the PIM so that local edits cannot happen silently.
- Build an exception queue. Records that fail validation (missing GTINs, composition not adding up) land in a queue with an owner, not in an email thread.
- Test on one season. Run a single category end to end before extending the rules.
How does AI change the handover?
PLM vendors are adding AI that produces more structured data earlier. PTC announced in January 2026 that FlexPLM can automatically extract data from design drawings to populate bills of materials, measurements, construction details, attributes and colourways. Centric Software's AI Studio, launched in May 2026, generates sketches, variants and commerce ready imagery connected to PLM product data and approval workflows.
This has two effects on the handover. On the positive side, more attributes exist in structured form at line adoption, which helps wholesale and e-commerce teams start earlier. On the risk side, machine extracted values can be wrong, and an automated pipeline can spread an error to every channel within hours. Two safeguards help: a status field that marks values as machine proposed until a person confirms them, and validation rules in the PIM that hold back unconfirmed technical attributes from customer facing channels.
How do you know the handover is working?
Useful measures include the share of styles with complete handover data at each milestone, the number of attribute corrections made in the PIM that should have been made in PLM, rejected records per channel, and the lag between production approval and product readiness in the PIM. None of these requires new software to track; a simple report from the exception queue is often enough. Reviewed after each season, they show whether the attribute contract still matches how teams actually work.
Frequently asked questions
What is the difference between PLM and PIM in fashion?
PLM manages the internal technical data used to develop products, such as bills of materials, specifications and drawings. PIM manages customer facing product information such as names, descriptions, images and channel attributes. The two connect through a handover of shared attributes.
When should product data move from PLM to PIM?
In stages. Basic style, colour and price data is needed at line adoption for sales planning and line sheets, full composition and identifiers around the production order, and enriched content before launch. A single transfer at the end of development usually comes too late for wholesale.
Where should composition be maintained, PLM or PIM?
Composition should be mastered in PLM, where it is linked to the bill of materials and supplier fabrics, and be read only in the PIM. Corrections should be made in PLM and flow downstream to labels, catalogues and webshops.
Can AI automate the PLM to PIM handover?
AI can extract structured data from drawings and documents and propose attribute values, which speeds up the handover. It does not replace clear ownership rules, and machine proposed values should be confirmed before they reach customer facing channels.
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