Decisions at Scale: Designing AI Products for Retail, Logistics, and Distribution Operations is a practical guide for product managers, operations leaders, technology professionals, and business decision-makers seeking to apply artificial intelligence in real-world operational environments. While many AI resources focus on algorithms and theory, this book explores what it truly takes to build AI solutions that deliver measurable business value across retail, supply chain, warehouse, logistics, and distribution operations. Drawing on real-world examples, operational case studies, and proven frameworks, the book walks readers through every stage of the AI product journey-from identifying the right problems and understanding customer personas to conducting operational research, selecting solution patterns, building MVPs, defining KPIs, deploying pilots, and scaling successful initiatives. It emphasizes a human-centered approach to AI, demonstrating how organizations can augment human expertise rather than replace it. Readers will learn how to navigate common challenges such as messy operational data, stakeholder alignment, user adoption, model governance, feedback loops, and the trade-offs between building, buying, or leveraging open-source solutions. The book also explores emerging trends, including agentic AI workflows, multimodal systems, and AI copilots designed to support operational decision-making. Whether you are launching your first AI initiative or scaling enterprise-wide programs, Decisions at Scale provides a practical roadmap for turning AI from a promising technology into a trusted operational advantage. By focusing on real-world constraints, organizational realities, and measurable outcomes, this book equips readers with the tools and insights needed to design AI products that work beyond the lab and succeed in production environments.