Integrate Shopify, Etsy, and Pop-Up Sales Data

Growing clothing stores often rely on Shopify's native Etsy integration or third-party apps like Sellbrite. These tools work for basic stock level syncing but fail under pressure. They typically poll for updates every 5-15 minutes, a delay that is too long for a fast-selling item. If a product sells out at a pop-up, it can remain listed online for ten minutes, leading to oversells and frustrated customers.

Consider this scenario: you have 20 limited-edition jackets. You list 10 on Shopify and 10 on Etsy, and take 5 of the Shopify units to a physical pop-up using a Square reader. You sell 3 jackets at the pop-up. In the time it takes you to manually update Shopify's inventory on your phone, two online customers have already bought the same jackets. You now have to cancel orders and damage your brand's reputation.

These apps also have rigid data models. They cannot handle custom logic, such as creating a virtual product bundle on Etsy from two separate Shopify products. They struggle to map product variants (size, color, style) if your SKU naming convention isn't perfectly identical across every platform. You are forced to change your business process to fit the software's limitations.

The structural problem is that these tools are built for mass-market use, not for your specific business rules. Their architecture prioritizes low server costs by using delayed polling instead of real-time webhooks. For a business where a single oversold item matters, this architectural compromise is a critical failure point.

The first step would be a complete audit of your product catalogs on Shopify, Etsy, and your POS system. Syntora would map every product variant to a single, canonical SKU, identifying any inconsistencies in your data. You would receive a definitive data map and a technical architecture plan for your approval before any build work begins.

The technical approach uses a Supabase Postgres database as the central inventory ledger. A Python-based FastAPI service, deployed on AWS Lambda, acts as the routing brain. When a sale occurs, the selling platform sends a webhook to the FastAPI service. The service validates the data, updates the master count in Supabase, and immediately pushes the new inventory level to your other channels. This entire process typically completes in under 2 seconds.

The delivered system runs in your own AWS account, giving you full control. It operates invisibly in the background, with no new interface for your team to learn. You receive the complete Python source code in your GitHub repository, a runbook for monitoring, and a dashboard to view transaction logs. The serverless design on AWS Lambda keeps hosting costs under $20 per month for a store processing 100 weekly orders.