One source of ownership
For products, prices, inventory and customers, the leading system is clearly defined.
Automated workflows
Data and orders move between Shopify, ERP and PIM without duplicate manual maintenance.
Errors become visible
Monitoring and recovery stop failed transfers from reaching customers unnoticed.
- Since 2019
- 150+ Migrations and Relaunches
- Official Shopify Plus Partner
What does a system integration involve?
System landscape and data model
We record which systems are in use, which objects they hold and who changes them. The result is a matrix of data object, owning system, target system and direction - the foundation of every interface built later.
Building the integration flows
Orders, inventory, prices, customers, products and fulfilment are built as separate flows, each with a defined trigger, mapping, error handling and retry logic. Every flow goes live on its own, not all on one day.
Operations, monitoring and reconciliation
After go-live what counts is that failures surface before customers notice them: alerting on failed jobs, a recurring reconciliation between ERP and Shopify, and a documented way to replay individual records.
Why do ERP and PIM integrations fail?
Bidirectional sync without a clear source
If Shopify and the ERP may both write the same field, whichever write happens to land last wins. Prices jump, inventory drifts. Every field needs exactly one owning system.
Missing idempotency
A webhook is delivered twice, a job restarts - and the order exists twice in the ERP. Without a unique key and dedupe logic, every retry is a risk.
No error handling
Interfaces that fail silently only get noticed once customers complain. Failed messages need a queue, an alert and a controlled second attempt.
Integration without process clarity
Technology cannot replace a process that does not exist. If nobody can explain how a return works operationally, the interface for it will not work either.
The PIM as a data graveyard
A PIM without editorial ownership does not fill itself. Without a maintenance process and completeness rules it reproduces the same gaps as before, just in a new place.
Everything live at once
Big-bang integrations make faults untraceable because causes overlap. Going live flow by flow costs more meetings and far fewer nerves.
Real time where batch is enough
Not every object needs second-level freshness. Inventory yes, master data rarely. Demanding real time everywhere drives cost and fragility without any operational benefit.
No test environment
If interfaces can only be tested against production, they are not being tested. Sandbox instances and a set of reproducible test data belong in scope, not in the clean-up phase.
How does an integration project run?
01
Map the systems
We record the existing landscape: ERP, PIM, WMS, CRM, middleware, marketplaces and legacy interfaces - including the spreadsheets that are effectively part of the process.
02
Define data ownership
For every object - item, price, inventory, customer, order, return - the owning system is named and written down. That table is the real deliverable of the analysis phase.
03
Choose the integration pattern
Only now do we decide between an off-the-shelf app, an iPaaS platform and custom middleware. The answer depends on volume, transformation depth, error tolerance and in-house know-how.
04
Build the flows
Each flow gets mapping, validation, an idempotency key, an error channel and retry handling. Development runs against test instances with realistic data volumes.
05
Go live step by step
We start with the flow that does the least damage if it stalls and work our way towards orders and finance. After each step we reconcile.
06
Operate and refine
Monitoring, alerting and a recurring reconciliation between systems move into operations - with a documented procedure for the case where a record does drift.
Which integration pattern fits you?
Off-the-shelf app
Works if your ERP is standard and your processes are too. Cheap and fast, but the connector's limits become your limits.
iPaaS platform
Sensible with several systems and moderate transformation depth. You buy connectors and monitoring and pay per message or flow on an ongoing basis.
Custom middleware
Right for proprietary process logic, high volume or requirements no connector covers. Maximum control, but operational responsibility sits with you or with us.
Direct API coupling
Only defensible for a small number of stable flows between two systems. Without a mediating layer, every change in one system becomes a change in the other.
Is an integration project the right next step?
Then the connection pays off
Data is maintained twice
Inventory, prices or orders are keyed in by hand in more than one place, and discrepancies only surface at the customer.
The target system is in place
The ERP or PIM is chosen, in operation and has an owner. All that is missing is a dependable connection to the store.
The processes can be described
You can explain how an order, a partial delivery and a return actually work - including the exceptions that come up in practice.
Another channel is coming
A marketplace, POS or a second store needs access to the same inventory without anyone reconciling spreadsheets daily.
Then something else is missing first
The owning system is not decided
While the system choice is open, interfaces are built against a moving target and get paid for a second time after the decision.
Shopify strategy & consultingThe store still has to change platform
Flows built before a migration depend on the legacy data model and IDs and end up being rebuilt afterwards anyway.
Migration auditSAP runs in the background
S/4HANA, ECC and Business One come with their own API surfaces, governance requirements and a data model that sets the project's pace.
SAP integrationWorking together
How do you start an integration?
The entry point depends on how clear data ownership is today and whether any flows are already running in production.
Data ownership analysis
Who it is for
For landscapes where several systems write the same fields and nobody can say which one wins in the end.
What is included
- Record systems, objects and write permissions
- Matrix of owning system and direction
- Document legacy interfaces and spreadsheet routes
How it ends
Ends with a written data ownership matrix solid enough to base a tender on.
Pilot flow
Who it is for
For teams that want to start without planning and commissioning the entire integration project up front.
What is included
- One flow with mapping and validation
- Idempotency key, error channel and retry
- Tested against sandbox with realistic data volumes
How it ends
Ends with one flow running in production that every further flow can be modelled on.
Integration operations
Who it is for
For stores whose flows already run but where failures only surface through customer complaints or the finance team.
What is included
- Alerting on failed jobs
- Regular reconciliation between ERP and Shopify
- Documented way to replay individual records
How it ends
Ends with an operating model in which discrepancies get noticed before they cost anyone money.
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Common questions about ERP, PIM and middleware integration
When does a store need an ERP?
As soon as inventory, prices and orders are maintained in several places and discrepancies cost money. Typical triggers are multiple sales channels, partial shipments, batch tracking or accounting that enters documents manually. Until then, Shopify plus a disciplined item master is usually enough.
When do you need a PIM instead of Shopify metafields?
Shopify metafields go surprisingly far. A PIM pays off when several channels need the same product data in different shapes, when several languages are maintained editorially, or when completeness has to be enforced before publishing. The trigger is the maintenance process, not the number of fields.
What is the difference between ERP and PIM?
The ERP owns commercial data: item master, prices, inventory, orders, invoices. The PIM owns marketing-facing product data: descriptions, attributes, images, translations, channel assignment. Both share the SKU as the link. Force both roles into one system and you end up with either poor accounting or poor product data.
Do you need middleware or is an app enough?
An app is enough as long as your ERP matches the connector's standard and you accept its field logic. As soon as you need custom transformation rules, several target systems, prioritisation or your own error handling, middleware or an iPaaS layer becomes cheaper than permanently operating workarounds.
How do you prevent duplicate orders in the ERP?
Through idempotency: every message carries a unique key, usually the Shopify order ID, and the target system checks whether that key already exists before creating anything. On top of that you need a queue with controlled retries instead of blind repeats on timeouts.
What does a system integration cost?
Effort depends on the number of flows, the transformation depth and the state of your legacy data - not on the size of your store. A reliable estimate is only possible once data ownership per object is settled.
What if we run SAP?
Then this page is the overview and our SAP page is the specific case. S/4HANA, ECC and Business One have their own API surfaces, their own governance requirements and a data model that sets the pace. The patterns here still apply; the implementation is described there in detail.
Do you know which system owns your data?
We map your system landscape, settle data ownership per object and tell you which integration pattern will hold up in your case.
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