AI for Retail A Practical Guide to Modernize Your Retail Business with AI and Automation

The coming of the AI revolution in brick-and-mortar retail

In AI for Retail: A Practical Guide to Modernize Your Retail Business with AI and Automation, Francois Chaubard, AI researcher and retail technology CEO, delivers a practical guide for integrating AI into your brick-and-mortar retail business. In the book, you’ll learn how to make your business more efficient by automating inventory management, supply chain, front-end, merchandising, pricing, loss prevention, e-commerce processes, and more.

The author takes you step by step from no AI Strategy at all to implementing a robust AI playbook that will permeate through your entire organization. In this book, you will learn:

• How AI works, including key terminology and fundamental AI applications in retail
• How AI can be applied to the major functions of retail with detailed P&L analysis of each application
• How to implement an AI strategy across your entire business to double or even triple Free Cash Flow

AI for Retail is the comprehensive, hands-on blueprint for AI adoption that retail managers, executives, founders, entrepreneurs, board members, and other business leaders have been waiting for.

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.

Introduction

Why You Need This Book as a Retail Leader

How to Use This Book

Section 1: Introduction to the AI Revolution

Chapter 1: How Ai Has Revolutionized Many Other Industries over the Last 20 Years

Chapter 2: The Three Myths of How AI Will Transform Retail

Chapter 3: How AI Will Automate and Optimize Retail

Chapter 4: Level-Setting the AI Doomsday-ism

Section 2: AI Theory

Chapter 5: What Is AI?

Chapter 6: From CPUs to GPUs

Chapter 7: Optimization

Chapter 8: Measuring AI Performance

Chapter 9: AI Learning Techniques

Chapter 10: Simulators and AI

Chapter 11: OODA Loops

Chapter 12: Hierarchy of Data Maturity

Chapter 13: A "General Theory for Retail AI"

Section 3: Applications of AI in Retail

Chapter 14: The Inefficiencies in Retail Today

Chapter 15: AI for Merchandising

Chapter 16: AI for Inventory, Ordering, and Supply Chain Management

Chapter 17: AI for Replenishment and Labor Management

Chapter 18: AI for Labor Budgets and Scheduling

Chapter 19: AI for E-Commerce and Customer Service

Chapter 20: AI for Warehouse and Distribution Centers

Chapter 21: AI for Checkout

Chapter 22: AI for Pricing and Promotion

Chapter 23: Other AI Use Cases

Section 4: Implementation

Chapter 24: Create your "AI Strategy and Roadmap"

Chapter 25: Buying vs. Building AI

Chapter 26 How to Run a Proof of Concept Bake-Off effectively

Chapter 27: Transitioning to a Fact-Based, Data-Driven Culture

About the Author

Index

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.