Store, data and content
Map and move the information customers and internal teams depend on.
- Source architecture and data discovery
- Extraction and transformation specification
- Business-rule and integration mapping
A discovery-led migration from a proprietary or custom commerce platform to Shopify, designed around data extraction, business rules, integrations, operational continuity, and controlled retirement.
A migration path that makes unknowns visible early and leaves the business with a maintainable, documented commerce foundation.01Businesses dependent on aging proprietary commerce software
02Teams with undocumented data and integration logic
03Companies reducing internal platform maintenance and key-person risk
The exact scope follows source-platform discovery, data quality, storefront requirements, integrations, SEO, and operational constraints.
Map and move the information customers and internal teams depend on.
Protect discovery, operations, and trading through the cutover.
Data, storefront, integrations, SEO, operations, and launch ownership move through one visible plan.
Code, schemas, exports, APIs, integrations, owners, and undocumented operational behavior are investigated.
Every destination entity, business rule, exception, and dependency receives an explicit mapping.
Extraction, transformation, loading, reconciliation, and storefront validation are rehearsed.
Final sync, operational handover, monitoring, rollback decisions, and legacy access are planned.
Gaps and assumptions are logged, assigned, tested, and resolved rather than hidden in estimates.
Scripts, mappings, and reconciliation can run in rehearsals before the final cutover.
Access, audit needs, data retention, integrations, and ownership remain clear after launch.
Shopify work spanning design, engineering, migration, and long-term commerce support.
Explore all workA custom platform can provide code-level control and exact business behavior, but the business owns infrastructure, security, upgrades, key-person knowledge, and every extension. Shopify provides a managed commerce foundation with defined extension points. Compare differentiating requirements, control, maintainability, risk, integration needs, team capability, and total cost.
A migration can be planned from bespoke systems and platforms such as Shopware, PrestaShop, OpenCart, Volusion, Salesforce Commerce Cloud, SAP Commerce, commercetools, and other proprietary stacks when records can be extracted through APIs, databases, exports, reports, or controlled alternative methods. Feasibility and scope follow technical discovery.
We assess read-only database access, exports, reports, backups, files, event logs, existing integrations, and controlled extraction methods. The chosen path must be legal, secure, repeatable, and reconcilable. Unknown fields, relationships, encodings, attachments, and business rules become explicit discovery items.
Products, variants, customers, addresses, orders, content, files, pricing, inventory, companies, and other records can often move when the source is accessible. Every entity needs a system of record, field and relationship map, transformation rule, exception path, validation method, privacy decision, and archive requirement.
Yes where they remain valuable and fit Shopify’s extension model. Each rule should be mapped to native configuration, Shopify Functions, theme or checkout extensions, an app, Shopify Flow, an external service, or a redesigned process. Rules should not be copied merely because they exist in the legacy code.
Document each ERP, PIM, CRM, fulfilment, tax, payment, search, subscription, support, and reporting flow as a data contract. Define ownership, IDs, events, ordering, retries, reconciliation, alerts, security, manual fallback, cutover sequence, and legacy shutdown before implementation.
It can protect search value when the source URL estate can be discovered and mapped. Crawl the current site, combine analytics and Search Console evidence, classify retained and retired pages, implement redirects, validate rendering and metadata, update internal links, and monitor crawl, indexation, traffic, and revenue after launch.
Begin with a bounded discovery phase covering code, schemas, data samples, exports, integrations, traffic, operations, owners, risks, and extraction tests. The output is a migration inventory, architecture, mapping approach, assumptions, exclusions, proof points, phased estimate, rehearsal plan, cutover controls, and legacy-retirement decision.
Let’s work together
Share the current platform, catalog complexity, integrations, operational constraints, and target timing. We will help identify the safest useful next step.