Case Study: Pernod Ricard accelerates AI app development and boosts sales impact with Retool

Pernod Ricard drives $2B in sales with Retool

Pernod Ricard, a global leader in premium spirits, faced challenges scaling AI across its diverse markets due to legacy tools like Salesforce and Streamlit that were slow to customize and not built for production-ready, complex applications. They needed a secure and fast platform to build enterprise-grade AI tools that could integrate with their existing systems and be used by thousands of employees globally. They turned to Retool to address this challenge.

Using Retool, Pernod Ricard's team rapidly built and deployed several AI-powered apps, including D-Star for sales optimization, Quanto for forecasting, and Maestria for market analytics. This resulted in development that was five times faster with significantly lower maintenance costs. The solutions built on Retool now influence $2B in annual sales, achieved a +4-point accuracy gain in forecasts, and drove a 20% higher adoption rate among end users.

Pernod Ricard