Last updated August 2026
VTEX is a SaaS commerce platform dominant in Latin America, offering native marketplace, OMS, and omnichannel capabilities. Its multi-account architecture, complex SKU bundling, and deep integration with logistics networks make migration to Shopify challenging, particularly for stores using VTEX's native marketplace and franchise features.
| Entity | VTEX | Shopify |
|---|---|---|
| Products | Product > SKU hierarchy with specifications, attachments, and kit (bundle) types | Product with up to 3 options, 2,048 variants, metafields |
| Variants | SKU level with dimensions, weight, EAN, kit composition (component SKUs) | Variant with SKU, price, inventory, barcode |
| Categories | Department > Category > Subcategory tree with specifications | Collections (manual or smart), no deep nesting |
| Customers | Master Data entity with CL (client) and AD (address) documents | Customer with addresses, tags, metafields |
| Orders | OMS order with marketplace/seller split, fulfillment, returns, and invoicing | Order with line items, fulfillment, payments |
| URLs | Dynamic: /department/category/subcategory/product-name/p with catalog-controlled SEO paths | /products/slug, /collections/slug |
Platform-specific guidance for the most common VTEX to Shopify migration issues:
Shopify does not offer a native migration tool for VTEX. All migration must be done via third-party tools (Cart2Cart, Matrixify), custom API development, or Shopify Plus migration services. VTEX's complex SKU, marketplace, and order models require careful planning.
VTEX storefronts often use dynamic content and native apps (VTEX IO) that have no Shopify equivalent. Losing the native marketplace integration, custom checkout, and OMS workflows is the most common source of failed migrations. Map required VTEX-specific features to Shopify apps or custom development before starting migration.
These technology indicators can identify a VTEX storefront:
vtex, vtexassets, vteximg, vtexcommercestable, _v, VTEXGet a free assessment of your migration complexity, known risks, and recommended approach.
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