The problem with systems that do not talk
Companies usually run several systems: one to sell, another to invoice, another for inventory, an online store, a CRM, spreadsheets. When they are not connected, someone enters the same data two or three times, records stop matching and errors show up late: a product sold that was out of stock, an invoice that never arrived, a customer with two different records. Integration means each piece of data is entered once and travels on its own to where it needs to go.
Common integrations
- E-commerce: online store and marketplaces synchronized with inventory and prices from the business system.
- Payments: payment gateways and banks, with automatic reconciliation against orders and invoices.
- CRM and sales: CRM with ERP, billing, WhatsApp and website forms; HubSpot, Salesforce or Zoho integrations when those platforms are in use.
- Operations: ERP with logistics, production, purchasing and accounting.
- Messaging: WhatsApp, email and notifications triggered by system events.
- Data: information from several systems brought together for BI dashboards.
How each system is connected
The preferred path is each platform’s official API, because it is stable and documented. When a system has no API, other options are assessed: database access, file exchange, structured email or, as a last resort, screen automation. Each path has different robustness and is chosen knowing its limits. For older systems, see legacy system modernization.
What makes an integration reliable
- One source of truth per data item: we define which system rules prices, inventory, customers or invoices, so there are never two versions.
- Validation: data is checked before it is written to the target system.
- Retries and queues: if a system does not respond, the operation waits and retries without being lost or duplicated.
- Alerts: when something cannot be solved automatically, a person is notified with the details.
- Audit trail: every movement is recorded so it can be traced.
Integration and artificial intelligence
Once systems are connected, AI can be added on reliable information: agents that check real inventory, assistants that answer with an order’s status or analysis that combines sales, service and collections. Without integration, AI works with incomplete data. See AI integration services.
How the work is done
- Review the systems, the data moving between them and current problems.
- Define the source of truth for each data item and the direction of each flow.
- Build the integration with test data, then run it in parallel with real data.
- Go live with monitoring and fine-tune the exceptions.
How much API integration costs
It depends on the number of systems, the APIs available, data volume and business rules. Connecting two platforms with documented APIs is a bounded job; integrating an old system with no API takes longer. We quote after the review, including maintenance in case platforms change their APIs.