Starbucks is focused on applying data and AI to enable strategic decision-making through customer-centric, data-driven products that directly support the core brand promise—elevating handcrafted beverages, enhancing the coffeehouse experience, and strengthening partner and customer connection. To ensure focus and impact, Starbucks has established a set of ten high-priority initiatives designed to deliver value today while setting the foundation for long-term future growth. These efforts are aligned to operational and customer experience goals. Key initiatives include: Staffing models that support Green Apron Service by ensuring the right partners are in the right places at the right times; Channel Prioritization Algorithms that optimize service time and customer experience; Smarter food availability forecasting models to improve inventory accuracy for customers and partners; Targeted Marketing Campaigns: Leveraging machine learning and recommendation algorithms to personalize digital ordering experiences, enabling personalization, and emotional connection; Algorithmic models and external data partnerships to optimize pricing strategies; Voice of Customer and Partner listening tools that help Starbucks understand and respond more effectively to feedback and sentiment; Enhanced analytics for store development and operations, enabling better tracking, analyzing, and acting on where and how Starbucks shows up in local communities, including advanced Test-and-learn analytics to uncover key performance drivers; Enterprise data readiness for Generative and Agentic AI, ensuring Starbucks infrastructure can support next-generation capabilities in a secure, scalable, and actionable way. Outcomes include: Equipping retail and support partners with actionable insights; Optimizing service models like Green Apron Service for speed and personalization; Enhancing mobile ordering and digital engagement; Informing innovation and product development; Simplifying operational complexity across the supply chain.