Custom Automation for Ecommerce Order and Inventory

Many ecommerce businesses start with platform-native tools like Shopify Flow. These tools are effective for simple, linear tasks like tagging an order or sending an internal email. They fail when business logic requires multiple conditions, external data lookups, and state management. Shopify Flow can trigger an action, but it cannot pause, check inventory from three different supplier APIs, and then decide which 3PL to route the order to based on the results.

Consider a 15-person business selling configured furniture. A customer orders a living room set with a sofa from Supplier A and a table from Supplier B. The operations team needs to check inventory levels in two separate supplier portals. If the table is on backorder, the workflow requires notifying the customer with a new ETA and splitting the order. A platform automation tool cannot orchestrate this multi-step, conditional logic. The result is an operations person spending 15 minutes manually checking portals, copy-pasting data, and sending emails for every complex order.

The structural problem is that these tools are built for data synchronization, not process orchestration. They are stateless. They can move a new order from Shopify to a spreadsheet, but they cannot manage the state of that order over several days as it moves from inventory check to partial fulfillment to final delivery confirmation. This forces teams to fill the gaps with manual work, spreadsheets, and human error.

The first step is a workflow audit. Syntora would map every step, decision point, and exception in your current order processing lifecycle. This involves documenting every API, FTP server, or manual portal login required to get inventory and order status data. The output is a clear diagram of the current state and the proposed automated flow for your approval before any code is written.

The technical approach would use a state machine built as a FastAPI service, deployed on AWS Lambda. Using AWS Lambda keeps hosting costs under $50/month for most stores because you only pay when orders are processed. FastAPI's Pydantic models enforce strict data schemas, which prevents errors from inconsistent supplier APIs. For suppliers who send updates via PDF or email, the system would use the Claude API to parse unstructured text into structured data, a pattern we've used for financial document processing.

The delivered system connects to your ecommerce platform via webhooks. When a new order arrives, the webhook triggers the automation engine. The engine posts real-time status updates back to the order notes and sends notifications to a fulfillment team's Slack channel. You receive the complete Python source code, a runbook for maintenance, and a monitoring dashboard. A typical build cycle is 4 weeks, delivering a system that can process over 10,000 orders a month with latency under 500ms.