Case Study: Snow Commerce achieves higher revenue and unified eCommerce data with Tray.ai

Snow Commerce drives higher customer revenues and unified metrics by automating eCommerce

Snow Commerce, an eCommerce agency based in Cincinnati, needed a better way to handle the growing volume and complexity of client data across platforms like Shopify, Magento, and other web store systems. Manual reporting and dashboard creation were slow, error-prone, and difficult to scale, especially as the company supported major brands and multiple Minor League Baseball team stores with unique inventory needs.

Using the Tray Platform from Tray.ai, Snow Commerce automated data integration and reporting, connecting eCommerce systems with Google BigQuery and Google Data Studio to unify metrics and inventory data. The result was 24 weeks saved per year on manual reporting and analytics work, and a 6% increase in client revenue for MiLB thanks to real-time inventory visibility and better decision-making.

Snow Commerce

Jonathan Staton

Data Analyst