Integrate AI Across Your Ecommerce Channels

Most stores use platform-native tools like Shopify Flow or the limited automation inside Amazon Seller Central. Shopify Flow can automate actions within Shopify, like tagging high-value customers. It cannot, however, read your Amazon sales velocity to decide which Shopify products to feature on the homepage. These tools operate in silos, blind to the activity on your other channels.

Consider an ecommerce store selling on Shopify and Amazon FBA. They want a rule: if a product's inventory on Shopify drops below 20 units, and its 7-day sales velocity on Amazon is high, temporarily raise the Shopify price by 15% to slow sales and avoid an Amazon stock-out. No off-the-shelf inventory tool can execute this conditional, cross-platform logic. An owner might try to do this manually by checking reports daily, but this is slow, error-prone, and impossible to scale across hundreds of SKUs.

Third-party inventory management systems like Cin7 can sync stock levels, but they cannot execute custom business logic based on that data. They update inventory counts but cannot trigger a dynamic pricing change on another platform. The architectural problem is that these tools are built for data synchronization, not for intelligent orchestration. They pass data between systems but have no central "brain" to apply complex, business-specific rules to that data.

The first step would be a full audit of your sales channels. Syntora connects to the APIs for your Shopify store, Amazon Seller Central account, and any other platforms to map exactly what data is available and what actions can be automated. This discovery phase produces a data flow diagram and a clear technical plan, which you approve before any code is written. This audit ensures the project is feasible with your existing technology.

The technical approach is to build a central orchestration service with Python and FastAPI, hosted on AWS Lambda. This service would run on a schedule, for instance, every 5 minutes. It would pull inventory data from Shopify, sales velocity from Amazon's MWS API, and competitor pricing data. All this information feeds into a Python script that contains your specific business logic. The system would then push updates, like a price change of 12.5%, back to the appropriate channel's API. A Supabase database logs every action for monitoring and auditing, providing a clear record of every automated change.

The delivered system is a private, serverless application that you own completely. It requires no new software for your team to learn, as the results appear directly in your existing platforms. You receive the full source code in your own GitHub repository, a runbook for maintenance, and a dashboard on Vercel to monitor its activity. The entire system's hosting cost is typically under $50 per month.