Introduction: Why You Need This Book as a Retail Leader 1Section 1 Introduction to the AI Revolution 111 How Ai Has Revolutionized Many Other Industries over the Last 20 Years 132 The Three Myths of How AI Will Transform Retail 373 How AI Will Automate and Optimize Retail 514 Level- Setting the AI Doomsday- ism 67Section 2 AI Theory 755 What Is AI? 776 From CPUs to GPUs 847 Optimization 888 Measuring AI Performance 949 AI Learning Techniques 10010 Simulators and AI 11111 OODA Loops 11612 Hierarchy of Data Maturity 12013 A "General Theory for Retail AI" 125Section 3 Applications of AI in Retail 13714 The Inefficiencies in Retail Today 13915 AI for Merchandising 14316 AI for Inventory, Ordering, and Supply Chain Management 15317 AI for Replenishment and Labor Management 17718 AI for Labor Budgets and Scheduling 19319 AI for E- Commerce and Customer Service 19920 AI for Warehouse and Distribution Centers 21221 AI for Checkout 22722 AI for Pricing and Promotion 25423 Other AI Use Cases 263Section 4 Implementation 26924 Create your "AI Strategy and Road Map" 27125 Buying vs. Building AI 28526 How to Run a Proof of Concept Bake- off Effectively 29227 Transitioning to a Fact- based, Data- driven Culture 303About the Author 309Index 311
FRANCOIS CHAUBARD is the CEO of Focal Systems, a deep learning computer vision company dedicated to helping brick and mortar retail businesses automate their operations. He has helped companies like Walmart, ShopRite, Piggly Wiggly, Good Food Holdings, and Fairway optimize their operations with state-of-the-art deep learning that revolutionizes how stores are run. Chaubard also co-created and taught many courses on AI at Stanford University, including CS229: Machine Learning, CS224D: Deep Learning for NLP, and CS231M: Computer Vision for Mobile.