
Move More Than Records From One System to Another
Ecommerce data rarely moves cleanly just because it can be exported. Product fields may be inconsistent, variants may be structured differently, categories or collections may need to change, and customer or order records may not map neatly into the next environment. A migration can expose years of decisions that were workable in the old store but do not belong in the new one.
Data/Catalog Migration focuses on deciding what should move, how it should be structured, and what needs to be validated before the new store depends on it. Always Open Commerce helps coordinate that work so the catalog is treated as part of the ecommerce foundation, not as a file-transfer task handled at the end.
Products, Variants, Customers, and Catalog Data in Scope
The exact data set depends on the project, but the migration should make clear which records, relationships, and structures are in scope before transfer work begins.

Product & Variant Mapping
Data/Catalog Migration
Map in-scope products, variants, options, attributes, pricing fields, and related product information into the structure required by the destination environment.

Categories, Collections & Catalog Structure
Data/Catalog Migration
Coordinate how products are grouped and organized so category or collection relationships carry forward or are intentionally restructured for the new store.

Customer & Order Data
Data/Catalog Migration
Identify the customer records and historical order information that need to move, subject to what the source and destination can support and what the project includes.

Content & Supporting Fields
Data/Catalog Migration
Account for in-scope product content, custom fields, images, metadata, or other supporting information that needs to remain connected to the right records.

Transfer & Validation
Data/Catalog Migration
Coordinate the approved transfer method and review migrated records so material gaps, mapping issues, and exceptions can be identified before the data is relied on at launch.
Map the Data Before You Move It
Three questions matter most before transfer begins: what condition is the source data in, how does the destination represent the same information, and how will the team identify material exceptions after the move?

Source Data Quality
Identify business-critical records, duplicates, inconsistencies, missing fields, and obsolete information before deciding what should move. Extensive manual cleanup or normalization remains separate when it goes beyond the approved migration.

Destination Data Model
Map how products, variants, categories or collections, customer records, order history, content, and supporting fields need to be represented in the destination rather than assuming the source structure can be copied directly.

Validation & Exceptions
Define the records, relationships, and representative catalog paths that should be checked after transfer, and document material gaps or mapping exceptions that need follow-up before the data is relied on.



Build a Usable Data Foundation
The useful outcome of a migration is not simply that records exist in a new system. Products, categories, customers, orders, content, and supporting fields have to arrive in a structure the storefront and internal teams can actually use.
Data/Catalog Migration can support Platform Migrations, New Store Builds, or a focused restructuring project. Always Open Commerce can coordinate the approved transfer and validation work, while PIM Setup & Support may be a separate next step when the underlying product-information model or ongoing catalog governance needs more than migration work.
Data & Catalog Migrations in Practice

Migration
Southern Powersports Replaces an Outdated Proprietary Website With a Modern, Easy-to-Manage BigCommerce Store

Ecommerce Builds
Venabulum Migrates from WooCommerce to BigCommerce for a Faster, More Reliable Ecommerce Experience
Data Migration & Catalog Tools
Frequently Asked Questions
Data/Catalog Migration can include products, variants, collections or categories, customer records, order history, content, and other catalog information. The exact data set depends on the source, destination, and approved scope.
No. Some restructuring can be part of the migration, but moving data does not automatically fix every inconsistency or historical error. Extensive manual cleanup or advanced normalization may require separate scope.
Yes, when restructuring is part of the project. Categories, collections, product relationships, and supporting fields can be mapped differently when the new store needs a cleaner organization than the source environment.
They can be included when the source, destination, and approved migration approach support them. The records that need to move should be identified during planning rather than assumed for every project.
Validation can include reviewing in-scope records, relationships, and representative catalog paths for material gaps or mapping issues. The exact validation method depends on the data set and project requirements.
No. Data and catalog work can support a platform migration, a new build, or a cleanup and restructuring project where the store needs a better data foundation without changing platforms.









































































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