Quick answer: Start by defining the source of truth for each data object, then design events, failure handling and monitoring. A fast API without master-data rules, retries and auditability can create faster mistakes.
Many companies do not have too few systems—they have too many disconnected ones. Orders begin in ecommerce, customers live in CRM, inventory sits in ERP, and shipping lives elsewhere. Employees become the human middleware.
Start with master data
Define the authoritative system for customers, products, prices, inventory, orders and invoices.
- Customer master
- Product master
- Price list
- Inventory
- Order
- Invoice
API, webhook or batch?
Not everything needs real-time synchronization. Choose based on business impact.
- API request/response
- Webhooks events
- Queues reliability
- Batch non-urgent
Design for failure
If the order succeeds and invoicing fails, the integration needs retries, duplicate prevention and reconciliation.
- Idempotency
- Retry policy
- Dead-letter queue
- Alerting
- Reconciliation
Security
Do not use one global admin account. Give every service the minimum permissions it needs.
- Service accounts
- Least privilege
- Secrets management
- Encryption
- Audit
Monitoring
A small failure percentage can still mean thousands of bad records at scale.
- Success rate
- Failure rate
- Queue depth
- Latency
- Unprocessed records
Frequently asked questions
Does every sync need to be real time?
No. Match data freshness to business impact.
What is the key question before building an API?
Which system owns each data object and is authoritative?
Can Odoo integrate with Salla or Shopify?
Yes, commonly through APIs or connectors, with clear rules for orders, inventory, invoices and returns.
Map the data flow before coding
A good integration blueprint defines systems, sources of truth, events, APIs, failure paths and monitoring before development begins.
