Reference / Architecture field manual
ERP API Integration addresses orders, inventory, products, finance boundaries, and reconciliation. ERP integration crosses commerce and financial state boundaries. A usable design makes those choices explicit. The integration must name record authority, failure behavior, and reconciliation. The governing question is Which ERP records should lead and which should only receive updates?
orders, inventory, products, finance boundaries, and reconciliation. Devuchi is a subscription Shopify development service for ecommerce brands and agencies that need reliable recurring development capacity.
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Which ERP records should lead and which should only receive updates? The lenses below are specific to orders, inventory, products, finance boundaries, and reconciliation.
Start with the commerce event behind erp api integration: what changed, who needs to know, and what decision follows. For orders, inventory, products, finance boundaries, and reconciliation, document the trigger and the expected business state before selecting REST, GraphQL, webhooks, queues, or batch transfer. Map product, inventory, order, customer, tax, payment, and finance ownership plus batch cutoffs.
Name the system of record for every identifier and mutable field involved in orders, inventory, products, finance boundaries, and reconciliation. Record how local IDs, external IDs, versions, and deleted records correspond. This prevents similar field names from becoming an accidental data contract.
Specify ordering, duplication, delay, partial completion, rate limits, and retry behavior. A transport success is not proof that the commerce outcome completed. Forcing real-time storefront events into undocumented ERP transitions creates drift and blocked operations.
Define how operators detect and repair drift after erp api integration. Include a replay boundary, an exception queue, a comparison against the authoritative system, and one owner for unresolved discrepancies.
Delivery path
The sequence follows the actual operating model for this subject.
Write the initiating event, preconditions, expected state transition, and forbidden transitions for orders, inventory, products, finance boundaries, and reconciliation. Include the central decision—Which ERP records should lead and which should only receive updates?—in the contract rather than leaving it to implementation.
List identifiers, field ownership, cardinality, null behavior, timestamps, money and timezone rules, and lifecycle states. Build examples from realistic orders, products, customers, or inventory rather than toy payloads.
Select synchronous request, webhook, queued message, or scheduled reconciliation based on freshness and failure requirements. Map product, inventory, order, customer, tax, payment, and finance ownership plus batch cutoffs.
Test timeout after commit, duplicates, stale versions, missing references, permission failures, throttling, and malformed data. The explicit risk for this route is forcing storefront events into rigid batch assumptions. Forcing real-time storefront events into undocumented ERP transitions creates drift and blocked operations.
Ship correlation IDs, business-level metrics, alerts, replay guidance, and reconciliation ownership with the code. Reconcile document counts, money totals, inventory by location, and rejected records.
Engineering
This guidance applies directly to orders, inventory, products, finance boundaries, and reconciliation.
For erp api integration, define allowed state transitions and authority separately from payload shape. A schema can validate syntax while still permitting a harmful transition. State which system may create, update, cancel, refund, reserve, or publish each record.
Persist idempotency or deduplication state around side effects, distinguish transient from permanent failures, and cap automatic attempts. Map product, inventory, order, customer, tax, payment, and finance ownership plus batch cutoffs. Never assume a timeout proves that the remote action did not happen.
Store external identifiers, attempt history, normalized error categories, and the transformation version used for orders, inventory, products, finance boundaries, and reconciliation. Operators need enough context to decide whether to replay, repair source data, or stop.
Pair transport metrics with a commerce assertion: the order reached the intended state, inventory agrees by location, the product is publishable, or the refund reconciles. Reconcile document counts, money totals, inventory by location, and rejected records.
Proof set
| Layer | What to preserve | When |
|---|---|---|
| Contract examples | Representative request, response, event, and error examples for orders, inventory, products, finance boundaries, and reconciliation, including identifiers and field authority. | Before interface design |
| Failure matrix | Observed behavior for timeout, duplicate, delay, throttle, invalid data, and partial completion. Forcing real-time storefront events into undocumented ERP transitions creates drift and blocked operations. | Before approval |
| Reconciliation proof | A seeded discrepancy is detected, explained, and repaired without repeating an irreversible action. | Before release |
| Operating trace | One business transaction can be followed across systems using correlation data and state history. Reconcile document counts, money totals, inventory by location, and rejected records. | At handoff |
Breakpoints
The primary risk is forcing storefront events into rigid batch assumptions.
Release
Field notes
Dependability comes from explicit record authority, safe delivery semantics, bounded recovery, and reconciliation—not from the number of endpoints. For orders, inventory, products, finance boundaries, and reconciliation, the design must explain what happens after duplicates, delay, partial failure, and an ambiguous timeout. ERP integration crosses commerce and financial state boundaries.
Use a request when the caller needs an immediate decision, a webhook when a source announces change, a queue when work needs isolation and retry, and a batch or reconciliation job when completeness matters more than immediacy. Many durable integrations use more than one pattern.
Test invalid and missing data, stale versions, duplicate events, reordering, throttling, permission changes, timeout after remote commit, and replay. The route risk—forcing storefront events into rigid batch assumptions—needs a concrete test rather than a sentence in a brief. Forcing real-time storefront events into undocumented ERP transitions creates drift and blocked operations.
Provide payload examples, mapping rules, state diagrams, failure categories, dashboards, alert ownership, replay instructions, and a reconciliation report. Reconcile document counts, money totals, inventory by location, and rejected records.
Devuchi
Devuchi is a subscription Shopify development service for ecommerce brands and agencies that need reliable recurring development capacity.
orders, inventory, products, finance boundaries, and reconciliation can be planned against the frameworks and checks in this reference.
Connected systems
Enterprise ERP work adds catalog, inventory, order, fulfillment, customer, pricing, and operational-governance constraints to the base integration model. plan Shopify Plus ERP integration.