Source feasibility
Data access, APIs, exports, identifiers, relationships, volumes, history, quality, and update patterns are reviewed.

There is no standard export or assumed data model. We establish how the platform actually works, who owns each system, and what the Shopify store must preserve.
Databases, APIs, files, media, identifiers, relationships, data quality, history, and change frequency are documented before extraction.
Catalog, pricing, promotions, accounts, checkout, tax, fulfillment, permissions, and edge cases are translated into explicit requirements.
ERP, PIM, WMS, CRM, identity, payments, tax, search, marketing, analytics, and internal tools receive clear Shopify ownership.
We identify databases, APIs, exports, files, asset stores, identifiers, relationships, volumes, update frequency, ownership, and data quality. A source-of-truth map is agreed before migration code is written.
Products, variants, configurations, bundles, pricing, inventory, markets, customer-specific rules, promotions, and merchandising structures are translated into Shopify products, catalogs, metafields, metaobjects, Functions, apps, or services.
Customer identities, authentication, profiles, permissions, addresses, companies, consent, orders, payments, returns, and service-history requirements are mapped with security and customer communication in mind.
CMS content, templates, navigation, search, media, metadata, structured data, legacy URLs, tracking, consent, feeds, and reporting are inventoried so the new storefront launches with measurable continuity.
Every connection and manual workflow is traced through triggers, data direction, schedules, errors, retries, owners, and support needs before it is rebuilt around Shopify.
1. Technical discovery
We inspect architecture, databases, APIs, exports, repositories where available, hosting, vendors, security constraints, and system owners.
2. Requirements reconstruction
Business rules and operational workflows are documented through data evidence, user interviews, storefront behavior, and integration traces.
3. Shopify target architecture
Catalog, identity, B2B, content, checkout, integration, analytics, and operational needs are assigned to a maintainable target model.
4. Migration pipeline and rehearsals
Repeatable extraction, transformation, loading, exception handling, and reconciliation are built and tested with representative data.
5. Parallel validation
Data, storefront, integrations, security, operations, reporting, SEO, and customer journeys are validated against agreed acceptance criteria.
6. Controlled transition
The final sync, traffic switch, redirects, integration cutover, rollback responsibilities, monitoring, and support coverage are coordinated.
Custom migrations succeed when assumptions are replaced with evidence. We create a traceable map from source behavior to Shopify so undocumented legacy logic does not become a launch-day surprise.
See our complex catalog work for Seal Skin Covers.
Yes. We can work from APIs, database access, structured exports, files, or a controlled combination. Discovery confirms what is available, the data quality, and whether any source engineering is required.
We combine source data, storefront behavior, code or API evidence where available, integration traces, operational reports, and interviews with the people who run the system. Important rules become documented acceptance criteria.
Often, but the right implementation may use Shopify products, variants, metafields, metaobjects, catalogs, Functions, apps, or external services. We design around the commercial requirement rather than copying the legacy database shape.
We review the identity model, password constraints, permissions, consent, profiles, companies, and connected systems, then define a secure Shopify account migration and customer communication plan.
The migration pipeline is run repeatedly with reconciliation reports. We test the final delta, integration switching, redirect activation, operational handoffs, acceptance checks, rollback ownership, and monitoring before launch.
We crawl the public site, supplement it with route and analytics data where available, inventory canonical URLs and content, map permanent redirects, validate metadata and internal links, and monitor indexing after launch.
Migration risk assessment
The assessment establishes what can be extracted, what must be rebuilt, where risk sits, and how the transition can be rehearsed.
Data access, APIs, exports, identifiers, relationships, volumes, history, quality, and update patterns are reviewed.
Catalog, pricing, identity, checkout, payments, tax, fulfillment, service, permissions, and edge cases are documented.
System ownership, data direction, events, schedules, errors, security, vendors, and support responsibilities are mapped.
Rehearsals, acceptance criteria, freeze and delta approach, rollback ownership, traffic switch, and monitoring are planned.
You receive a scoped migration approach, major risks, dependencies, and the decisions needed before implementation.
Book a Migration Risk Assessment