Integrate Your Ecommerce Channels with Custom AI

Most growing ecommerce businesses rely on middleware platforms with pre-built connectors. These tools work for standard fields like 'order_id' but break down with custom business logic. For example, if you bundle products differently on Amazon versus Shopify, a generic connector cannot correctly decrement component SKU inventory in your warehouse system. The tool sees the bundle SKU, not the 3 underlying parts, causing inventory counts to drift by up to 15% monthly.

This leads to manual reconciliation. The finance team spends 5-10 hours each week exporting CSVs from Shopify and Amazon Seller Central. They attempt to match sales data against 3PL shipping reports in a massive spreadsheet. The process is slow, creates data entry errors, and produces reports that are already a week old. Real-time decisions on pricing or promotions become impossible.

The structural problem is that pre-built tools enforce a rigid data model optimized for the most common use cases. They cannot adapt to your specific rules for kitting, returns processing, or tiered B2B pricing. You are forced to change your business process to fit the software's limitations, not the other way around. This operational friction is a direct consequence of using a tool not engineered for your workflow.

The first step would be a full audit of your data sources. Syntora maps the API endpoints for Shopify, Amazon MWS, your 3PL, and your accounting software. We identify the key objects (orders, products, customers, inventory) and document every custom field or business rule that pre-built connectors miss. You receive a data flow diagram showing exactly how information will move between systems before any build begins.

The technical approach uses a central data pipeline built with Python and AWS Lambda. For a source like Shopify, a Lambda function triggers on a webhook for real-time events like 'order.created'. This function fetches the full order data, transforms it into a standardized JSON format using Pydantic for validation, and loads it into a central Supabase database. This event-driven architecture processes new orders in under 500 milliseconds.

The delivered system is a unified data hub, not just a set of connectors. The system exposes a FastAPI endpoint that your internal teams can use to query cross-platform data. For example, your marketing team could get a single view of a customer's lifetime value across both Amazon and Shopify. You receive all source code in your GitHub, a runbook, and a monitoring dashboard.