Ecommerce Replatforming / Migration
Platform migrations are risky. Tiny window for error, huge cost of getting it wrong. We've run enough of them to know how to take the pain away.
Data Migration
Data migrations are where good projects go to die, unless you plan them properly.
Whether you’re replatforming, consolidating systems, or implementing a new data architecture, migration is the step that most teams underestimate. Customer records, order history, product catalogs, pricing rules, account hierarchies — the volume is manageable. The complexity is not.
We plan, map, clean, validate, and execute data migrations with the discipline they require. The goal is simple: nothing lost, nothing broken, and a team that hits the ground running on day one.
This is for you if:
- You’re moving to a new platform and have years of customer, order, and product data that needs to come with you.
- Your current data is messy — duplicates, inconsistencies, missing fields — and you want to arrive at the new system with clean records.
- You’ve been through a bad migration before and aren’t willing to repeat the experience.
What you’ll get from this:
- A complete data audit: what exists, what’s usable, what needs cleaning before it moves.
- A migration plan with field mapping, transformation logic, and validation criteria for every data type.
- Staged migration with testing at each phase — no big-bang launches with fingers crossed.
- Post-migration validation confirming everything arrived intact and the new system is running correctly.
Frequently Asked Questions
Sometimes, for clean data and simple schemas. Most ecommerce data is neither: customer records have decades of duplicates, order histories tie to discontinued SKUs, account hierarchies have soft references that break on import. Tools like LitExtension or Cart2Cart handle the easy 80%; the painful 20% is what kills timelines.
Staged migration means we move data in phases (catalog, customers, orders, custom data) with a validation gate between each one. If the catalog migrates with a 0.1% error rate, we proceed; if it’s 5%, we stop and clean before customers move. The alternative, a big-bang launch with fingers crossed, is how order histories get corrupted quietly.
Both, on purpose. Migration is the best moment to clean: duplicates merged, missing fields filled or flagged, inactive records archived, broken relationships fixed. Skipping the cleanup means you import the mess and pay for it later. See the methodology in eCommerce Replatforming.
We classify your data by real use before deciding what moves: hot (used daily, migrates fully), warm (used quarterly, migrates selectively), and cold (archive only, accessible via export). Migrating everything “just in case” bloats the new platform and stretches the 4 – 10 week data timeline for records nobody opens. Cold data stays retrievable; it just doesn’t ride along.
Migration is a legitimate processing basis under existing contracts, but it surfaces opportunities to honor old erasure requests, expire stale consents, and tighten retention. We flag those during the audit phase and let your DPO/legal call the shots on each.
4 – 10 weeks for the data itself, depending on volume and complexity. Catalog and customer data often run in parallel. Order history can take longer if you want full transformation (currency normalization, SKU mapping, account hierarchy reconstruction). We give you a phased timeline with the audit, not a single number.
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