Product Catalog
- Simple, configurable, bundled, and virtual products
- Product attributes and attribute sets
- Custom options and variants
- Product images and media gallery
- Related, upsell, and cross-sell links
- Inventory levels and warehouse data
Moving your eCommerce store means moving every product, customer, order, and custom attribute — without losing a single record. We have done this hundreds of times, across every major platform.
Every layer of your store data, migrated completely — not just the easy parts.
Every migration decision we make is designed around one principle: no data is ever lost, corrupted, or exposed.
Before a single script runs, we take a complete backup of your source store — database, media files, and configuration. You can always go back.
After every migration run, automated scripts check record counts, attribute completeness, relationship integrity, and data types across all migrated entities.
Your live store keeps running during migration. At go-live, we run a delta sync to capture all changes made since the initial migration — no data left behind.
All data is transferred over encrypted connections. Customer passwords are migrated as hashes — never in plaintext. GDPR compliance maintained throughout.
We do not copy-paste data. We engineer the migration — field by field, with validation at every step.
We export and analyse the full schema of your source platform — tables, relationships, custom attributes, and data volumes. Nothing is assumed; everything is documented.
We map every source field to its destination equivalent on the new platform. Where there is no direct equivalent, we design the target structure before any data moves.
Data rarely migrates 1:1. We define transformation rules for format changes, value normalisations, relationship restructuring, and any enrichment needed.
We run a full migration on a staging environment and validate every entity type — comparing source and destination counts, spot-checking records, and flagging anomalies.
Your team validates the staging data against the live store. Any discrepancies are documented, root-caused, and resolved before final go-live approval.
Final migration runs against production data, followed by automated validation scripts. Delta sync applied, counts verified, and go-live confirmed only when all checks pass.
A structured, repeatable process refined across hundreds of migrations — no improvisation, no surprises.
We assess your source platform schema, data volumes, custom attributes, and any known data quality issues. You receive a detailed migration plan and timeline.
Target environment configured, migration scripts initialised, and staging environment prepared for the first test run.
Every entity type mapped from source to destination. Transformation rules written and reviewed. Edge cases documented before any data moves.
Full migration executed on staging. Automated validation scripts run immediately after. Record counts, relationships, and attribute data verified.
Your team reviews key data sets on staging — products, customers, orders. Any issues raised are fixed and the migration re-run until sign-off is given.
Final migration of production data, delta sync to capture recent changes, automated validation, and confirmation before DNS switch.
Post-launch verification of live data against source. Any discrepancies investigated and resolved within the stabilisation window.
We offer a free data audit — we assess your source data, flag any quality issues, and give you a clear picture of migration complexity and timeline before any commitment.
Request a Free Data AuditStandard migration tools handle standard data. When your store has complexity, you need an engineering team — not a script.
Non-standard product attributes, custom entity types, and proprietary data structures are reverse-engineered and mapped to equivalent or new structures on the target platform.
Old stores often have data quality issues — orphaned records, inconsistent formats, or null values in required fields. We identify, clean, and normalise data before migration.
When your store data is mastered in an ERP (SAP, Dynamics, NetSuite), we coordinate migration with your ERP team and establish the post-migration sync strategy from day one.
Multi-language content, multi-currency pricing, and per-store configurations are migrated with scope intact — no flattening, no loss of locale-specific data.
Stores with 100K+ SKUs require chunked migration strategies, optimised batch sizes, and careful index management. We have done this at scale — without timeouts or memory failures.
Tier prices, customer group pricing, contract-based price lists, quote history, and company account hierarchies are all migrated with full relational integrity.
Every risk we have encountered across hundreds of migrations is now part of our standard process. Here is how we handle the most common ones.
Data loss during migration
Full source backup before any work. Automated post-migration record count validation. Rollback plan documented and tested.
Store downtime during the migration window
All migration work happens on staging. Live store stays operational. Delta sync captures changes. Go-live window under 30 minutes.
Customer login disruption after migration
Passwords migrated as hashed values — customers log in without resetting. Account history and addresses visible from day one.
Order history unavailable post-migration
Full order history including invoices, shipments, credit memos, and payment records migrated and verified before sign-off.
Data quality issues surfacing post-launch
Pre-migration data quality audit identifies issues before they become problems. Cleansing and normalisation completed on source data first.
GDPR or compliance exposure during transfer
All data transfers over encrypted connections. Passwords remain hashed. No PII stored in plain text at any stage of the process.
We do not treat data migration as an afterthought. It is a core engineering discipline — and we have built a repeatable, validated process that consistently delivers zero data loss.
Straight answers to the questions we hear most.
Tell us about your store and we will come back with a free data audit — covering data volume, complexity, any quality issues we spot, and a clear migration estimate.