What exactly does the Qmica GS1 Connector do?

The connector maps attributes and values from your data model in ConnectingTheDots to the values accepted by GS1 and ETIM. This lets you exchange product information along the chain according to those standards.

Do we need to convert our own data model to GS1 or ETIM?

No. Your own data model remains intact. The connector creates a mapping between your attributes and the GS1 and ETIM value lists, including for select lists and metric values.

Does the connector support ETIM classifications?

Yes. The connector works with the article groups and classes from ETIM. This gives products a classification that matches the standard.

Can we deliver product data to GS1 GDSN via the connector?

Yes. The connector supports GDSN publishing formats and delivers standard-compliant product records to data pools.

GS1 Connector (Qmica) integration.

Validated GS1 data from Qmica provides a reliable foundation of GTINs, dimensions and attributes. The better that source comes in, the less you need to check further down the chain.

All integrations

Product data compliant with GS1 and ETIM, without manual checks
Fewer rejections from data pools
One data model for standards and channels

Standards-compliant product data from your own data model.

The Qmica GS1 Connector links your product catalogue in the PIM system to the GS1 and ETIM standards. Attributes and values from Data Model & Structure are mapped to the values accepted by GS1 and ETIM, enabling correct and efficient exchange of product information throughout the chain. The connector supports various data types, including value lists and metric values, and is seamlessly integrated with market-standard platforms such as GS1 GDSN.

Which GS1 and ETIM structures are supported.

Attributes from Data Model & Structure mapped to GS1 and ETIM value lists
Value lists, metric values and data types
ETIM article groups and classes
GDSN publication formats
Standard-compliant product records towards data pools

Mapping attributes to value lists.

You configure the connector at product level: you decide which records, attributes and languages come in. Onboarding covers mapping to your data model and the validation rules. Lead time depends on your data model.

Control before publishing to data pools.

Validation rules check incoming data before it touches your data model.
Sync frequency can be set per source.
Every import is logged, with error handling and retries.
A monitoring dashboard shows statuses, errors and lead times.

Frequently asked questions.

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