Connect Shopify to Your CRM with a Custom API

Many Shopify stores use marketplace apps like Celigo or CartRover for integration. These work for standard data mapping, like moving a new Shopify order into a NetSuite sales order. They fail with custom logic because they offer field mapping, not conditional workflows based on the data within those fields.

Consider an ecommerce store selling on Shopify, Amazon, and a physical retail location using Shopify POS. Their inventory is managed in a central ERP like Odoo. A customer buys the last-of-stock item on Amazon. A standard connector might take 15 minutes to sync that change. In that window, a Shopify customer can buy the same item, creating an oversold situation that requires a manual cancel and a customer service apology.

The structural problem is that these connectors are stateless polling systems. They query Shopify's API on a schedule, perhaps every five minutes, and look for changes. A production-grade system needs to be event-driven, using webhooks to react to an inventory change in milliseconds, not minutes. The connectors' architecture is built for batch updates, not for real-time inventory consistency.

This architectural gap leads to constant manual firefighting. Teams spend hours reconciling inventory numbers, manually cancelling oversold orders, and dealing with unhappy customers. The business cannot trust its own data, which prevents accurate forecasting and makes it impossible to run promotions confidently across all channels.

The engagement starts with an audit of your data models and workflows. Syntora maps the exact data fields in Shopify to their equivalents in your CRM or ERP. We identify the specific triggers for data syncs, like `order/create` or `inventory_levels/update`, and define the business logic, such as tagging a customer in your CRM based on their Shopify order history.

The core of the system is a FastAPI service deployed on AWS Lambda. Shopify webhooks trigger the Lambda function instantly when an event occurs. The FastAPI application uses Pydantic models to validate incoming Shopify data, preventing bad data from reaching the target system. For complex multi-channel inventory, we would use a Supabase table as a distributed lock to ensure updates are processed serially, preventing race conditions. This build typically takes 4-6 weeks.

The final deliverable is a serverless application running in your own AWS account. The system processes over 20,000 webhook events per day for under $50 per month in hosting fees. You receive the complete Python source code, a deployment runbook, and a dashboard for monitoring API latency and error rates. The integration runs autonomously, requiring no daily management.