Connect Shopify or Shopify Plus with Sales Layer to centralize product data, generate clean channel-ready feeds, and keep marketplace listings, ads, and SEO attributes consistent.
• Sales Layer acts as the source of truth for product content, while Shopify remains the system of record for orders, customers, and checkout.
• Products and variants are mapped between Sales Layer items and Shopify products/variants, including SKUs, barcodes, option sets, and inventory-related identifiers.
• Attributes, rich descriptions, media assets, and taxonomy fields are transformed to Shopify fields, Metafields, and tags based on a defined mapping.
• Category assignments and collections are populated from Sales Layer classification data, with rules supporting automated and manual collection handling.
• Delta sync logic processes only changed records from Sales Layer to Shopify, with queuing and retry handling for API rate limits and transient failures.
• Sync runs are logged with per-entity status (created, updated, skipped, failed), enabling traceability for “Sales Layer Shopify integration” change audits.
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We map Shopify products, variants, collections, and metafields to Sales Layer attributes, then sync via API-based connectors with validation rules. Updates can run on schedule or be pushed after approval, depending on your workflow.
Typically titles, descriptions, images, attributes, variant data, metafields, and SEO fields like handles and meta titles. The exact scope depends on how your catalog and theme/app stack store product data.
Yes, Sales Layer can hold localized attributes per language, and we sync them into the right Shopify market setup. We also align currency-independent data such as specs, size charts, and compliance content.
We define a single identifier strategy for SKUs, variant keys, and parent-child relationships before the first import. Then we enforce match rules and error reporting so bad data does not publish silently.
Yes, scandiweb has delivered 2,100+ eCommerce projects and has been a Shopify Partner since 2016. We handle setup, QA, go-live, and ongoing support if you want one team to own the pipeline.









