Native connector
Start here when the connector supports the required entities, field ownership and error recovery.
Plan the integration between Shopify or Shopify Plus and your Swiss back-office systems. We map the available connector or API, ownership and flows for products, stock, orders, customers, invoices and fulfilment before recommending the simplest supportable design.
Shopify × back office · architecture check
Map the systems and data ownership behind your store. This is a directional architecture class, not a technical audit.
No Shopify admin access or private store data is requested. Your answers stay in this browser until you choose to contact Forgify.
Swiss ERP landscape · integration fit
These are scoping considerations, not promises of a prebuilt connector. Confirm the exact edition, API access, middleware already in use, data ownership and support model before choosing a route.
| System | Check first | Typical scope questions |
|---|---|---|
| Abacus | Available connector/API layer and existing partner setup | Order and invoice mapping, Swiss accounting fields, batch cadence |
| Bexio | API permissions, rate limits and required objects | Contacts, orders, invoices, refunds and retry behavior |
| Microsoft Dynamics | Business Central vs Finance & Operations, environments and governance | Entity mappings, company/location model, ownership and approvals |
| Odoo / SAP | Exact edition, version, modules, hosting and approved interface | Existing customization, middleware, access owner and change process |
Integration architecture · practical tradeoffs
Start here when the connector supports the required entities, field ownership and error recovery.
Useful when several systems need mapping, transformation or shared monitoring.
Consider when business rules or system APIs need a tailored bridge.
Use near real-time events for time-sensitive data; batch reconciliation for slower-changing records.
Abacus Marketplace lists a Shopify Connector by DevQon with Q910 scopes for customers, products, prices and stock. Its listing shows a technical-check date of 10 July 2024, so verify current support and confirm order, invoice and exception flows with the provider before choosing it. This is a third-party connector, not a Forgify product. Review the Abacus Marketplace listing.
Best for
Shopify stores already generating revenue, usually CHF 30k+/month, with app bloat, manual operations, unreliable tracking, ERP friction or Shopify Plus complexity.
Typical entry point
Free scan → paid audit → focused sprint → optional retainer.
Starting range
From CHF 8,000–30,000+ depending on systems, data flow and operational complexity.
01 — The failure mode
The problem is rarely the API — it's the architecture around it.
Most Shopify-to-ERP connections start as a naive one-off script: a cron job that pulls orders, loops over them and pushes them somewhere. It works on the demo and the first quiet week, then quietly falls apart the moment volume, edge cases or an API change show up.
There are no retries, so a single timeout drops an order. There is no backoff, so Shopify's rate limits return errors that the script swallows. There is no idempotency, so a re-run double-posts invoices. And there is no defence against schema drift — the day a field is renamed or a new variant shape appears, the mapping silently writes garbage.
Where a custom integration is justified, we scope the failure controls around its real interfaces and risks: verified webhooks where relevant, asynchronous processing when needed, idempotent writes, retries and useful logs. The design should fit the flow rather than add infrastructure by default.
02 — The architecture
Clear responsibilities prevent the tug-of-war that corrupts data. We define which system owns each field, then sync deliberately in that direction.
03 — What we sync
Each flow is built with its own ownership rules, retry behaviour and monitoring — not bundled into one fragile job.
Stock levels reconciled across Shopify, the ERP and any 3PL, with the warehouse as the authoritative source.
New orders pushed to the ERP near real time via webhooks and queues, with retries and idempotency against duplicates.
Customer and account records kept consistent between Shopify, the ERP and your CRM without manual exports.
Fulfilment requests sent out, tracking and status pulled back, so order state stays in step everywhere.
Clean, validated exports for Swiss accounting and fiduciary workflows, generated on schedule and idempotent on re-run.
Prices, products and variant data propagated from the ERP to Shopify with controlled validation against schema drift.
04 — Resilience
Choose failure controls according to the interface, timing and cost of an error. Durable queues and dead-letter handling are useful for some custom event flows, while a connector or scheduled exchange may need a different recovery design.
05 — Testing & cutover
Define the evidence and recovery path for each flow before production writes begin. The exact test and cutover plan depends on the ERP interface and the current integration.
06 — After launch
An integration is a living system that sits between vendors who ship breaking changes. We keep it healthy and visible, not invisible until it fails.
07 — FAQ
It moves agreed records such as orders, stock, customers, fulfilment and pricing between Shopify and an ERP over the interfaces available to the business. Clear ownership, synchronization and reconciliation can reduce manual exports and help teams detect when records drift.
Scope a real integration
Share your Shopify plan, ERP and version, current apps or connector, the issue, approximate monthly order volume and intended outcome. We’ll use that to decide whether a connector, middleware or custom work is worth scoping. Please don’t send credentials or customer data.
Related
Start with system ownership and real data flows. Then choose the simplest integration your team can monitor and support.