How WHOOP Scales AI-Powered Customer Support with Snowflake and Sigma

Managing customer interactions across multiple disconnected platforms creates inefficiencies and delays in resolving support tickets. At WHOOP, support agents had to manually navigate through siloed data across payments, ERP, and ticketing systems, slowing down response times and impacting customer satisfaction.In this session, Matt Luizzi (Director of Business Analytics, WHOOP) and Brendan Farley (Sales Engineer, Snowflake) will showcase how WHOOP:

• Consolidated fragmented data from multiple systems into a unified customer support app.
• Enabled real-time access to customer history, allowing agents to quickly surface relevant insights.
• Eliminated the need for custom engineering by leveraging Sigma’s no-code interface to build interactive workflows.
• Accelerated ticket resolution by allowing support teams to take action directly within Sigma, reducing dependency on multiple SaaS tools.
• Improved forecasting and decision-making by implementing AI-powered analytics on top of Snowflake.

Before Sigma, getting a full view of customer issues required navigating across multiple tools—now, WHOOP’s customer support team can access, analyze, and act on real-time data in a single interface. Join us for an inside look at how WHOOP and Snowflake partnered to build a modern customer support data app that enhances efficiency and customer experience.