Staying GS1-compliant: why product data needs ongoing maintenance

Your product data was GS1-compliant yesterday. But will it still meet the requirements tomorrow?

A successful publication confirms that your data passed the applicable checks at that moment. When requirements change, parts of that information may need to be reviewed, enriched or mapped differently before a future publication.

For organisations supplying multiple markets, this creates a challenge that extends beyond the initial GS1 implementation.

GS1 requirements continue to evolve

GS1 GDSN maintenance releases can introduce new attributes and code values. Local data models and validation rules also receive updates, affecting the information suppliers need to provide.

These changes do not mean every product needs updating after every release. They do mean organisations need to understand which changes affect their assortment, target markets and publication processes.

A new requirement may call for information that already exists in your systems but has not yet been mapped. In other cases, additional product information needs to be collected.

Without a clear maintenance process, those gaps may only become visible when a publication returns validation errors.

A strong PIM is the foundation

PIM and ERP systems play an essential role in managing product information. They provide the foundation for descriptions, specifications, dimensions and other business data.

Sharing that information through GS1 adds another set of requirements: GS1 attributes, code lists, validation rules and market-specific conditions.

Maintaining these requirements can create ongoing work for internal teams, PIM vendors and implementation partners, particularly when GS1-specific logic is built into individual integrations.

A specialised GS1 layer gives organisations a dedicated place to manage that complexity alongside their existing systems.

From initial setup to ongoing maintenance

A sustainable GS1 process needs to cover more than the first publication. It should help organisations:

• Review relevant changes to supported GS1 data models and validation rules.
• Assess the impact on their products and target markets.
• Identify missing information that requires enrichment.
• Update mappings and transformations where requirements have changed.
• Validate product data before publication.
• Monitor publication feedback and address issues that require attention.

The aim is to make maintenance a predictable part of product data operations, with clear responsibilities for both technical updates and source-data quality.

How Qmica supports the process

Qmica – The GS1 Connector complements existing PIM and ERP environments with a specialised layer for transforming, validating and publishing product data.

For supported data models, Qmica maintains the GS1 requirements within its platform. Organisations can use mapping, gap analysis and validation to identify where their product information needs attention before publishing through supported datapool connections.

This helps PIM vendors and implementation partners keep their focus on product information management and customer processes, while Qmica manages the GS1-specific transformation and publication layer.

Suppliers remain responsible for providing accurate and complete product information. Qmica helps make the requirements, gaps and publication process easier to manage.

Make GS1 maintenance part of your process

Expanding your assortment or entering a new market should build on a reliable product data foundation.

By combining clear data ownership with maintained mappings, validation and publication processes, organisations can reduce the need for repeated GS1-specific development.

GS1 compliance should be part of a reliable, scalable process.