| Description |
1 online resource (335 p.) |
| Contents |
Cover -- Title Page -- Copyright Page -- Contents -- 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 -- Advertising Revolutionized by AI in 2000 -- Baseball Revolutionized by AI in 2002 -- Computer Vision Revolutionized by AI in 2012 -- Speech-to-Text Services Revolutionized by AI in 2013 -- Translation Services Revolutionized by AI in 2014 -- Go Revolutionized by AI in 2016 -- Air Travel Revolutionized by AI in 2019 |
|
Cars Revolutionized in 2020 -- Art and Game Development Revolutionized by AI in 2022 -- Notes -- Chapter 2 The Three Myths of How AI Will Transform Retail -- Myth 1: Amazon Go (and the Me-Too's) Will Eliminate Cashiers Globally -- Myth 2: AI Will Never Be Able to Do What I Do -- Myth 3: We Won't Need Grocery Stores Anymore -- Online Shopping, Dark Stores, and Autonomous Delivery Will Hit 100% Market Share -- Notes -- Chapter 3 How AI Will Automate and Optimize Retail -- Real-Time, Accurate Shelf Data -- The Algorithm -- Someone Has to Do It -- Note -- Chapter 4 Level-Setting the AI Doomsday-ism |
|
AI Is Going to Kill Us All -- AI Is Going to Take All of Our Jobs -- Section 2 AI Theory -- Chapter 5 What Is AI? -- Intelligence -- Importance of Generalizability -- Chapter 6 From CPUs to GPUs -- CPUs Compared to GPUs -- Chapter 7 Optimization -- Linear Regression -- Convex Optimization -- Deep Learning -- Chapter 8 Measuring AI Performance -- Scoring AI -- Comparing Performance of AI Models -- Chapter 9 AI Learning Techniques -- Supervised Learning -- Unsupervised Learning -- Reinforcement Learning -- Chapter 10 Simulators and AI -- Chapter 11 OODA Loops -- Stages of the OODA Loop |
|
OODA Loops in Retail -- Chapter 12 Hierarchy of Data Maturity -- Hierarchy of Data Accuracy -- Chapter 13 A "General Theory for Retail AI" -- Non-Convex Optimization Approach to Solving Retail -- Supervised Learning Approach to Solving Retail -- Reinforcement Learning Approach to Solving Retail -- Section 3 Applications of AI in Retail -- Chapter 14 The Inefficiencies in Retail Today -- Core Inefficiencies in Retail -- Chapter 15 AI for Merchandising -- Current Roles, Processes, and Inefficiencies -- Think One Store at a Time -- How to Apply AI to Merchandising -- Making This Actionable |
|
Results -- Chapter 16 AI for Inventory, Ordering, and Supply Chain Management -- Current Roles, Processes, and Inefficiencies -- How to Apply AI to Inventory, Ordering, and Supply Chain Management -- AI Algorithms on Top of Sales Data -- AI-based Ordering -- Making This Actionable -- Results -- Chapter 17 AI for Replenishment and Labor Management -- Current Roles, Processes, and Inefficiencies -- How to Apply AI to Replenishment -- Making This Actionable -- Results -- Chapter 18 AI for Labor Budgets and Scheduling -- Current Roles, Processes, and Inefficiencies |
| Notes |
Description based upon print version of record |
|
How to Apply AI to Labor Budgets and Scheduling? |
| Form |
Electronic book
|
| ISBN |
9781394184705 |
|
1394184700 |
|
