Product Catalog Migration Between Platforms
A product catalog migration between platforms, moving to a new PIM, switching e-commerce platforms, consolidating catalogs after an acquisition, looks straightforward for simple products and breaks down fast on the structural parts that don't map cleanly: variant relationships (a product with size and color options that need to stay linked as one product with variants, not fragment into unrelated standalone listings), category and attribute structures that differ between platforms, and pricing rules including tiered or promotional pricing that doesn't have an equivalent field in the new system. A catalog that migrates with variants fragmented or categories flattened looks 'done' by product count but is broken for actual shopping and search, and customers or internal teams find this the hard way, post-launch, browsing a category that's suddenly empty or a product that's lost its size options.
STARTING PRICE
From €799
Complex tier · Multi-system orchestration, custom logic, and higher-volume or higher-risk processing.
Get a quote →Saves roughly 30-55 hrs on a typical catalog migration project, plus avoided post-launch customer-facing browsing and pricing errors.
How the automation works
We migrate a product catalog between platforms with explicit attention to the structural relationships that naive field-by-field migration breaks: variant grouping (keeping a product's size/color/style options linked as one product, not fragmented into standalone listings), category and attribute hierarchy mapping between platforms with genuinely different taxonomy structures, and pricing rules including tiered and promotional pricing validated to produce the same customer-facing price in the new system. Before go-live, the migrated catalog is checked against the source for structural integrity, not just product count, confirming variant groupings survived, categories retained their hierarchy, and a sample of prices matches exactly, since a catalog that looks complete by count can still be structurally broken for browsing and search.
Process flow
- 01
Source and target catalog schemas pulled trigger
Product data, variant structure, category taxonomy, and pricing rules are pulled from the source platform, alongside the target platform's schema and structural constraints.
- 02
Map variant relationships ai
Products with variant options (size, color, style) are mapped to preserve their grouping as one product with linked variants in the target platform, rather than fragmenting into unrelated standalone listings.
- 03
Map category and attribute taxonomy ai
Category and attribute structures are mapped between the source and target platform's genuinely different taxonomy systems, flagging categories with no clean equivalent for explicit resolution.
- 04
Migrate and validate pricing rules integration
Standard, tiered, and promotional pricing rules are migrated and validated to confirm they produce the same customer-facing price in the target platform, not just that a price field carried over.
- 05
Structural integrity check before go-live ai
The migrated catalog is checked against the source for structural integrity, variant groupings intact, category hierarchy preserved, sampled prices matching exactly, not just a raw product count match.
- 06
Deliver validation report and go-live checklist output
A structural validation report and go-live readiness checklist are delivered, flagging anything that needs resolution before the new catalog goes live to customers.
Inputs
- Source platform product, variant, and category data
- Target platform schema and taxonomy structure
- Pricing rules including tiered and promotional pricing
- Category/attribute mapping decisions where structures differ
Outputs
- Migrated catalog with preserved variant relationships
- Category/attribute taxonomy mapping document
- Pricing rule validation report
- Structural integrity go-live readiness report
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Variant relationships are the single most common structural failure in catalog migration, a product with size and color options can migrate as a set of disconnected standalone products instead of one product with linked variants, which looks fine in a raw product count but breaks the actual shopping experience of selecting a size or color on a single product page.
- Category and attribute taxonomies rarely map one-to-one between platforms, a category structure built around one platform's filtering logic doesn't necessarily have an equivalent in another, and forcing a mapping that doesn't genuinely fit produces a catalog that's technically categorized but doesn't support the filtering and browsing customers expect.
- Tiered and promotional pricing rules are especially prone to silent migration failure because the underlying pricing logic (a percentage discount at a quantity threshold, a time-limited promotional price) often doesn't have a direct equivalent field in the new platform, and a naive migration that copies only the base price loses the rule entirely without any error being thrown.
- A catalog migration that's validated only by matching total product counts between source and target will pass even when the count is a numeric coincidence masking real structural damage underneath, fragmented variants that inflate the count, or flattened categories that reduce it, which is why structural integrity needs its own explicit check, not just a count comparison.
Frequently asked questions
Does this handle variant products, like size and color options, specifically?
Yes, preserving variant grouping is one of the specific structural checks this is built around, since fragmenting variants into standalone products is one of the most common and damaging catalog migration failures.
What happens to categories that don't have a clean equivalent in the new platform?
They're flagged explicitly for a mapping decision rather than force-mapped to the closest-sounding category, since a mismatched category mapping breaks the browsing and filtering experience customers rely on.
Does this validate that prices actually match, or just that a price field migrated?
It validates that the customer-facing price, including tiered and promotional pricing rules, actually produces the same result in the new platform, not just that some price value carried over into a field.
Can this run before the new platform goes live to customers?
Yes, it's designed to run as a pre-go-live validation gate, so structural issues surface and get fixed before customers see a broken category or missing product variants.