Centralize Customer Data From All Ecommerce Channels

Ecommerce businesses often start with integration platforms like Celigo or Stitch Data to connect their channels. These tools are effective for standard, point-to-point flows, like syncing Shopify orders to NetSuite. The problem arises when custom business logic is required. If you need to check inventory at a third-party logistics provider before confirming an Amazon order, a pre-built connector offers no path forward, forcing a manual exception process.

Consider an ecommerce store selling on Shopify, Amazon FBA, and Etsy. A customer buys a product on Amazon. A week later, they buy from the Shopify store using the same email. To your marketing tools, like Klaviyo, these appear as two separate people. The customer gets a redundant "welcome" email, and your support team in Gorgias cannot see the Amazon order history when the customer asks a question about their Shopify purchase. This creates a disjointed customer experience and prevents accurate lifetime value calculation.

ETL tools like Stitch Data can pull information from all channels into a data warehouse, but this is a one-way street for analytics. The tool can show you that a customer exists on two platforms, but it cannot write a unified ID back to Shopify and Amazon. You can see the fragmentation, but you cannot fix it in your operational systems where it matters most for support and marketing.

The structural issue is that these platforms are built for data movement, not data synthesis. They lack a central, stateful service that can hold and enforce your business rules. They can trigger an action when an order is created, but they cannot maintain a persistent, unified customer record that becomes the single source of truth. This limitation forces teams into manual data cleanup and results in a compromised view of the customer journey.

The first step is a data and API audit. Syntora would map the schemas for customers, orders, and products across every channel, including Shopify's GraphQL API, Amazon's SP-API, and your 3PL's FTP server. This audit identifies how a `customer` in one system relates to a `buyer` in another and produces a unified data model. You receive a concrete mapping document to approve before any code is written.

The technical approach centers on a custom FastAPI service running on AWS Lambda, using Supabase as the central Postgres database. This architecture provides a serverless, event-driven system that scales with order volume. When a webhook fires for a new order, the FastAPI service ingests the data, validates it using Pydantic, and enriches it against the central customer record. The system can process a new order in under 400ms. The entire cloud infrastructure typically costs less than $50 per month to operate.

The delivered system is a private data hub that you own completely. Your other applications, from your ERP to your customer support platform, would integrate with this single, consistent API instead of multiple channel-specific ones. You receive the full Python source code in your private GitHub repository, a detailed runbook for maintenance, and a monitoring dashboard. This centralizes your data and decouples your core business logic from the specifics of any single sales channel.