Automate Ecommerce Data Synchronization Across All Your Platforms

Multi-channel sellers often rely on platform-specific apps or generic inventory management tools like Sellbrite. These work for basic inventory counts but fail on complex product attributes. They use a one-to-many sync model that cannot handle platform-specific rules. For example, Etsy allows for detailed personalization options that have no equivalent field in Amazon's rigid data structure.

Consider an apparel brand selling on Shopify, Amazon, and Etsy. They launch a new t-shirt in 5 sizes and 3 colors. On Shopify, they use tags for marketing. On Etsy, they use attributes for search. On Amazon, they need to create parent-child ASIN variations. A generic tool pushes the same title and description everywhere. This means someone must log into each platform to manually add the platform-specific data, a process that takes 30 minutes per product.

The core problem is that off-the-shelf tools are built for the lowest common denominator. They treat all platforms as identical destinations, ignoring the nuanced data models that drive visibility on each. When Amazon changes its category schema, the tool breaks until the vendor pushes an update, leaving your listings out of sync for days. You are renting a rigid pipeline instead of owning a flexible system.

This manual cleanup work is a direct cap on growth. Every new product requires a multi-step, error-prone checklist. A pricing mistake on one channel can lead to margin loss. An inventory miscalculation can lead to overselling and negative reviews, which directly impacts seller ratings and future sales.

The first step would be a data model audit. Syntora would map every product attribute from your primary platform to its equivalent on Amazon and Etsy. We identify which fields can be directly mapped, which require transformation, and which are unique to a specific channel. This audit produces a clear synchronization plan and a unified data schema, which you approve before any code is written.

The technical approach would use a central product database in Supabase (Postgres) as the single source of truth. A Python-based FastAPI service would provide endpoints to manage this data. When a product is updated in Shopify, a webhook triggers an AWS Lambda function. This function can use the Claude API to intelligently map and transform data, such as converting a Shopify tag into structured Etsy attributes. The system is designed to process these events in under 200ms.

The delivered system is a set of serverless functions and a database that you own completely. It connects to your existing ecommerce platforms without requiring your team to learn a new interface. You receive full source code, a runbook detailing the architecture, and a monitoring dashboard. A typical build for 3 platforms takes 4-6 weeks, and hosting costs are usually under $50/month.