When the catalogue slows the business down
- product data is fixed manually after every import
- the feed fails validation or misses fields
- variants, categories or attributes are inconsistent
- SEO, ads or marketplaces suffer from poor data quality
Commerce data · Feeds and catalogue
Product data and feeds the team does not have to keep repairing manually.
We design rules for products, variants, categories, attributes, images, supplier imports and XML feeds so the Shopify catalogue supports sales, SEO, advertising and internal work.
Products, variants and categories
XML feeds, imports and validation
SEO, ads and marketplace readiness
What the outcome should be
- clear product data source rules
- more stable product import or export
- better category, variant and attribute mapping
- visible errors, logs and controlled cleanup process
Scope
The catalogue is reviewed from source to every destination.
- Source files, APIs and product identifiers
- Variants, categories, attributes, pricing and media
- Transformations for Shopify, advertising or marketplaces
- Validation, error report and import retries
Scope
When this service fits
- a Shopify store with a larger catalogue
- a team with supplier imports
- a store with marketplace or affiliate feeds
- a store before migration to Shopify
Delivery approach
How we work
Map
We map product sources, fields, categories, variants, images and destinations.
Design
We design mapping, validation, normalisation and exception handling rules.
Implement
We prepare the import, export, feed or internal process based on scope.
Verify
We test data, document rules and prepare a control process for the team.
Outputs
Typical deliverables
- catalogue and feed audit
- product data map
- category and attribute mapping
- import or XML feed workflow
- validation, logs and documentation
What is not included
What a feed project does not include by default
- Manual completion of missing supplier source data.
- Guaranteed acceptance by a platform that controls and changes its own rules.
- Automatic matching or overwriting without agreed controls.
Related proof or project
Zoneo demonstrates feed processing and a normalised catalogue.
The project demonstrates separate feed intake, validation, taxonomy and offer matching for a normalised catalogue.
Zoneo
A product comparison platform with feed import and validation, a normalised catalogue, offer matching, taxonomy and partner self-service.
Related services
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Shopify integrations with ERP, CRM, PIM, WMS, accounting, warehouse and internal APIs with clear data ownership, monitoring and retry handling.
View details FAQ
Specific answers before the first conversation.
Is this a Shopify service or a data project?
Both. If product data feeds Shopify, SEO, ads or marketplaces, it is a commerce data project with direct impact on Shopify operations.
Can you handle supplier feeds?
Yes, depending on format, data quality and usage rights. We first assess the source, required fields, changes and update frequency.
Do we need a PIM?
Not always. PIM helps with complex catalogues, but a smaller catalogue can start with rules, import and better data control.
Have a catalogue or feed the team can no longer maintain manually?
Send the product source, feed destination or an example problem. We will suggest whether to start with data audit, import, export or catalogue rules.