Product data
Copy, attributes & variants
Let’s talkProducts, orders and stock in the right system.
Copy, attributes & variants
Orders & customer references
Availability & inventory
Product information from a PIM, stock from inventory management and orders from a shop each have different requirements. We review which data is needed, how current it must be and what the connected systems support. An integration may concern individual records or a wider operational workflow.
Planning covers the initial data transfer as well as later synchronisation. We agree on how existing records are matched, how errors are detected and how repeated transfers should be handled. A concrete sample record and the intended workflow are more useful starting points than a long list of technical terms.
If a shop and its inventory system report different stock levels, adding another transfer does not resolve the underlying question. First establish which system owns stock and which events change it. The same applies to product information, prices and customer references. We agree on ownership for each data flow before implementing the integration.
That includes identifiers and rules for variants, missing fields and updated records. API documentation, sample data and a contact for each system help with the technical assessment. Those details allow us to determine whether an existing connector is suitable or a custom integration is needed.
Map fields, identifiers and rules for products, customers and orders. Resolve conflicts between source systems before implementation.
Develop API connections, webhooks or scheduled synchronisation suited to data volume and update frequency.
Log failed transfers so they can be traced and define retries where appropriate, giving the team a way to investigate problems.
We assess ERP, PIM, CRM and other systems using their APIs, export formats and access permissions. We also need to know which data should move in which direction. Tell us the products and versions you use so we can review whether a connection is feasible and appropriate.
Different data flows need different levels of freshness. Stock may have different requirements from additional product descriptions. We agree on the required timing and review what each system supports, then plan an appropriate transfer and synchronisation workflow.
We plan how failed transfers will be made visible and whether they should be retried. Duplicate processing and operational ownership also need to be considered. The exact behaviour is agreed and checked for each data flow rather than assumed to be the same across all systems.
We need access to source code or configuration, technical documentation and information about known issues. We review record matching, the transfer process and the running environment. That provides a basis for deciding whether a targeted change or a replacement is the better next step.