Your systems should talk to each other. We make that happen.
Connecting Odoo to external platforms, building middleware layers, and replacing brittle point-to-point integrations with something that actually holds up in production.
Common platforms we connect to Odoo
If it has an API, we can integrate it. Here are the platforms we've connected most often.
Custom ERPs, payment gateways, logistics APIs, IoT platforms, and legacy flat-file systems — we handle those too.
The right architecture for the right use case
REST & Webhooks
Direct HTTP calls and inbound webhook handlers. Best for low-latency, event-driven integrations. We build idempotent handlers — duplicate events don't cause duplicate records.
Message Queues (RabbitMQ / Celery)
Decouple producer and consumer systems. Retries on failure, dead-letter queues for inspection, and horizontal scaling. Best when reliability matters more than speed.
Scheduled Sync
Batch jobs that reconcile data between systems on a schedule. Best for nightly inventory syncs, bulk order imports, and reporting aggregations.
Real-Time Bidirectional
Changes in either system immediately propagate to the other. More complex but eliminates data lag. We use conflict resolution logic to handle concurrent edits.
EDI & Flat-File Legacy
EDIFACT, X12, CSV/XML imports from legacy systems that don't have APIs. We parse, validate, and map them into Odoo automatically.
Audit to monitor, not just build and ship
Most integration failures happen because the builder didn't think about what happens when the remote API is slow, returns unexpected data, or goes down. We do.
@router.post("/webhooks/shopify/orders")
async def shopify_order_created(
request: Request,
db: Session = Depends(get_db),
):
# Verify HMAC signature
verify_shopify_signature(request)
payload = await request.json()
shopify_id = payload["id"]
# Idempotency: skip if already processed
if order_exists(db, shopify_id):
return {"status": "duplicate"}
# Transform and create in Odoo
odoo_order = transform_order(payload)
result = odoo_client.create_sale_order(odoo_order)
log_sync_event(db, shopify_id, result.id)
return {"status": "created", "odoo_id": result.id}And what we build in to prevent it
No idempotency
Duplicate webhook deliveries create duplicate records. Every handler we write checks if the event was already processed before acting.
No retry logic
Transient failures (API timeout, 503) cause permanent data loss. We use exponential backoff retry with a configurable max attempt count.
No dead letter queue
Failed messages disappear silently. We route every unprocessable message to a dead letter queue where it can be inspected and replayed.
No monitoring
You find out about sync failures from customer complaints. We alert on error rate spikes and sync lag within minutes of the problem starting.
No schema versioning
Remote API changes break your integration silently. We use strict schema validation and alert on unexpected payload shapes.
Start your project with Anvexis Stack
From discovery to deployment — we handle the complexity so you can focus on your business.