ERP isn't an isolated island. It must integrate with: POS, e-commerce, payment gateways, shipping, SMS, HR, and more. Choosing the right integration pattern makes the difference between fast and slow systems.
Main patterns
1. REST API (most common)
REST = Representational State Transfer. The most used ERP integration method.
How it works:
- System A sends HTTP request (GET, POST, PUT, DELETE) to ERP.
- ERP responds with JSON.
- Request includes auth token.
Example: e-commerce store sends new order to ERP.
POST /api/v1/sales-orders
Authorization: Bearer <token>
Content-Type: application/json
{
"customer": "CUST-001",
"items": [
{"sku": "ITEM-001", "qty": 5, "price": 100}
]
}
Pros:
- Simple and clear.
- Supported by all languages.
- Stateless (easy to scale).
- Suitable for real-time.
Cons:
- Polling if you need real-time (client asks periodically).
- Rate limits on API.
2. Webhooks (for real-time)
Webhook = ERP sends HTTP request to another system when an event occurs.
How it works:
- System A registers webhook URL in ERP.
- When order is registered in ERP, ERP sends POST to URL.
- System A receives and processes.
Example: ERP sends webhook to store when shipment moves.
// ERP sends to store:
POST https://store.com/webhooks/shipment
{
"event": "shipment.dispatched",
"order_id": "ORD-001",
"tracking_number": "TRK-123",
"timestamp": "2026-08-08T10:30:00Z"
}
Pros:
- True real-time.
- No polling (saves resources).
- Simple for client.
Cons:
- If client is down, request is lost.
- Needs retry mechanism.
- Security (signature verification).
3. ETL (for big data)
ETL = Extract, Transform, Load. For large, non-real-time data.
How it works:
- Extract: pull data from source (ERP, database, file).
- Transform: convert to required format (clean, calculate, aggregate).
- Load: load to destination (data warehouse, BI tool).
Example: every night, extract sales data from ERP, transform, load to Power BI.
Pros:
- Suitable for analytics.
- Handles large volumes.
- Doesn't affect ERP performance.
Cons:
- Not real-time (batch).
- Needs tools (Airflow, Talend, Pentaho).
- Pipeline maintenance.
4. Message Queues (for reliability)
Message Queue = System A sends message to queue, ERP consumes when able.
How it works:
- System A sends message to RabbitMQ / Kafka / AWS SQS.
- ERP consumes message when free.
- If ERP is down, messages wait in queue.
Pros:
- Reliable (no data loss).
- Asynchronous.
- Decoupling (systems not directly linked).
Cons:
- Complexity (needs infrastructure).
- Ordering (not always guaranteed).
- Additional monitoring.
When to use each pattern
| Scenario | Right pattern |
|---|---|
| Store sends order to ERP | REST API |
| ERP notifies store of shipment | Webhook |
| Daily sales analytics | ETL |
| Integration with heavy HR system | Message Queue |
| Real-time inventory sync | Webhook + REST API |
| Monthly BI report | ETL |
| Payment gateway integration | REST API + Webhook |
| Legacy data migration | ETL (one-time) |
Best practices
1. Security
- Always use HTTPS.
- Auth: OAuth 2.0 or JWT.
- Rate limiting.
- Webhook signature verification.
- IP allowlist.
2. Error handling
- Retry mechanism (3 attempts).
- Dead letter queue.
- Detailed logging.
- Alerting on failure.
3. Documentation
- OpenAPI / Swagger for REST.
- Webhook payload schema.
- Examples.
- Error codes.
4. Monitoring
- Response times.
- Error rates.
- Queue depth.
- Webhook delivery rate.
Case study: store + ERP integration
Client: e-commerce store + Creative ERP:
- Store → ERP: when customer orders, store sends REST API call to ERP with sales order.
- ERP → Store: when order status changes (shipped), ERP sends webhook to store.
- ERP → Store: hourly, ERP sends available inventory update.
- Daily ETL: nightly, sales data loaded to Power BI for analysis.
Result:
- Real-time order sync.
- Instant status updates.
- Matching inventory.
- Analytics without loading ERP.
Bottom line
Choosing the right integration pattern matters:
- REST API: for direct interaction.
- Webhooks: for real-time notifications.
- ETL: for big data and analytics.
- Message Queues: for reliability.
At Creative ERP, we use a mix of patterns based on need. Each integration has its best-fit pattern.
Need integration between your systems? Tell us the systems and workflow — we'll suggest patterns.