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AI for Retail: A Practical Guide to Modernize Your Retail Business with AI and Automation [Kõva köide]

  • Formaat: Hardback, 336 pages, kõrgus x laius x paksus: 231x160x31 mm, kaal: 522 g
  • Ilmumisaeg: 17-Apr-2023
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1394184697
  • ISBN-13: 9781394184699
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  • Formaat: Hardback, 336 pages, kõrgus x laius x paksus: 231x160x31 mm, kaal: 522 g
  • Ilmumisaeg: 17-Apr-2023
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1394184697
  • ISBN-13: 9781394184699
Teised raamatud teemal:
"AI for Retail is a practical guide for how to integrate AI into brick-and-mortar retail practices to make businesses more efficient. It will start with the three common answers to "what is the future of retail?" and why they are wrong: nothing will change, Amazon Go will take over traditional stores, and there will no longer be grocery stores. What's the right answer? Traditional retail businesses need to use AI to automate all back-office, self-checkout, curbside, and delivery processes. Large companies like Amazon have mandated that every manager in their business, HR, accounting, and product departments must adopt AI. The problem is most retailers do not have an AI strategy and will be left behind as savvy companies take the lead. AI for Retail provides powerful case studies about how AI is being used in retail today and how much value it adds. It will expose the complexity of retail and why only AI can solve it in the long term"--

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.

Introduction: Why You Need This Book As A Retail Leader 1(10)
Section 1 Introduction to the Al Revolution
11(64)
1 How Ai Has Revolutionized Many Other Industries over the Last 20 Years
13(24)
2 The Three Myths of How Al Will Transform Retail
37(14)
3 How Al Will Automate and Optimize Retail
51(16)
4 Level-Setting the Al Doomsday-ism
67(8)
Section 2 Al Theory
75(62)
5 What Is Al?
77(7)
6 From CPUs to GPUs
84(4)
7 Optimization
88(6)
8 Measuring Al Performance
94(6)
9 Al Learning Techniques
100(11)
10 Simulators and Al
111(5)
11 OODA Loops
116(4)
12 Hierarchy of Data Maturity
120(5)
13 A "General Theory for Retail Al"
125(12)
Section 3 Applications of Al in Retail
137(132)
14 The Inefficiencies in Retail Today
139(4)
15 Al for Merchandising
143(10)
16 Al for Inventory, Ordering, and Supply Chain Management
153(24)
17 Al for Replenishment and Labor Management
177(16)
18 Al for Labor Budgets and Scheduling
193(6)
19 Al for E-Commerce and Customer Service
199(13)
20 Al for Warehouse and Distribution Centers
212(15)
21 Al for Checkout
227(27)
22 Al for Pricing and Promotion
254(9)
23 Other Al Use Cases
263(6)
Section 4 Implementation
269(40)
24 Create your "Al Strategy and Road Map"
271(14)
25 Buyingvs. Building Al
285(7)
26 How to Run a Proof of Concept Bake-off Effectively
292(11)
27 Transitioning to a Fact-based, Data-driven Culture
303(6)
About The Author 309(2)
Index 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.