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


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Description

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.



Author: Francois Chaubard
Publisher: Wiley
Published: 04/11/2023
Pages: 336
Binding Type: Hardcover
Weight: 1.15lbs
Size: 9.26h x 6.34w x 1.14d
ISBN13: 9781394184699
ISBN10: 1394184697
BISAC Categories:
- Business & Economics | Industries | Retailing
- Business & Economics | Development | Business Development
- Computers | Artificial Intelligence | General

About the Author

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.