API, EDI & automation
API, EDI & automation: Practical basics for merchants
A concise guide to APIs, EDI, product feeds, order and status messages, with practical advice on handling errors and automating sensible parts of commerce processes.
How APIs and EDI work in practice
APIs and EDI are both ways for IT systems to exchange data automatically. APIs usually use web standards and are flexible for single functions, like fetching a product or creating an order. EDI is an older, standardized format for structured business messages such as orders or invoices. For merchants the key is not the label but which processes can be reliably automated: distributing product data, importing orders into the ERP, sending shipping notices, and reporting status updates to marketplaces.
- API: modern, fine-grained interface for specific services
- EDI: standardized business messaging across processes
- Both enable automation of repetitive tasks
Product feeds and order data: Product feeds provide structured details about items: title, description, price, images, categories and attributes. High-quality feeds save time and reduce catalog errors. Order data contains what is needed to fulfil a sale: items, quantities, delivery address, payment and shipping details. When building automated flows, map required fields on both sides and validate mandatory entries. Missing or inconsistent fields cause cancellations, delays or inventory issues. Implement checks that reject obviously wrong data before it enters your systems.
- Feed quality affects correct product presentation
- Order data must be complete and verifiable
- Pre-validation prevents common fulfilment mistakes
Status messages and feedback loops: Status messages tell all parties what happened: payment received, order confirmed, shipped, delivered or cancelled. These messages should be automated, unambiguous and timely. Use standardized codes or fields so recipients can interpret meaning automatically. Feedback loops should also cover exception cases, like partial shipments or delays. That improves customer experience and lets internal systems, such as stock levels and reorder triggers, update automatically.
- Clear status codes enable machine processing
- Timely messages reduce inquiries and mistakes
- Include partial and exception scenarios
Error handling and sensible automation: Automation saves time but can amplify problems if errors are not handled properly. Define which errors are safe to auto-correct and which require human review. For example, address format issues can often be normalized automatically, while conflicting prices or missing tax data usually need manual handling. Plan alerts, retry mechanisms for temporary failures and a clear error list in your backend. Focus automation on frequent, standardized tasks and keep manual escape routes so teams can act quickly when something goes wrong.
- Auto-corrections only for clearly safe cases
- Retry logic for transient connectivity issues
- Error dashboards and escalation paths for humans
This guide was created with AI assistance and published automatically. Binding product details are shown on the linked product pages.