AI for Retail A Practical Guide to Modernize Your Retail Business with AI and Automation 1st Edition by Francois Chaubard 9781394184705 1394184700

AI for Retail A Practical Guide to Modernize Your Retail Business with AI and Automation 1st Edition Francois Chaubard – Ebook Instant Download/Delivery ISBN(s): 9781394184705, 1394184700

Product details:

• ISBN 10:1394184700
• ISBN 13:9781394184705
• Author: Francois Chaubard 

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.

Table contents:

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
How to Apply AI to Labor Budgets and Scheduling?
Making This Actionable
Results
CHAPTER 19: AI for E‐Commerce and Customer Service
Current Roles, Processes, and Inefficiencies
How to Apply AI to E‐Commerce
Making This Actionable
Results
CHAPTER 20: AI for Warehouse and Distribution Centers
Current Roles, Processes, and Inefficiencies
How to Apply AI to Warehouses and DCs
Making This Actionable
Results
CHAPTER 21: AI for Checkout
Current Roles, Processes, and Inefficiencies
How to Apply AI to Checkout
Making This Actionable
Results
Note
CHAPTER 22: AI for Pricing and Promotion
Current Roles, Processes, and Inefficiencies
How to Apply AI to Pricing and Promotion
Making This Actionable
Results
CHAPTER 23: Other AI Use Cases
Loss Prevention
HR
Facilities and Maintenance
Accounting and Financial Planning and Analysis (FP&A)
SECTION 4: Implementation
CHAPTER 24: Create Your “AI Strategy and Road Map”
Educate
Explore
Execute
CHAPTER 25: Buying vs. Building AI
Building AI Is Incredibly Difficult
AI Specialists
Framework for Building AI
CHAPTER 26: How to Run a Proof of Concept Bake‐off Effectively
How to Select AI Vendors
How to Structure the POC Bake‐off
Why Structure It as a Bake‐off
Note
CHAPTER 27: Transitioning to a Fact‐based, Data‐driven Culture
About the Author

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