Includes index.

Why you need this book as a retail leader -- How to use this book -- How AI has revolutionized many other industries over the last 20 years -- The three myths of how AI will transform retail -- How AI will automate and optimize retail -- Level-setting the AI doomsday-ism -- What Is AI? -- From CPUs to GPUs -- Optimization -- Measuring AI performance -- AI learning techniques -- Simulators and AI -- OODA loops -- Hierarchy of data maturity -- A "general theory for retail AI" -- The Inefficiencies in Retail Today -- AI for merchandising -- AI for inventory, ordering, and supply chain management -- AI for replenishment and labor management -- AI for labor budgets and scheduling -- AI for e-commerce and customer service -- AI for warehouse and distribution centers -- AI for checkout -- AI for pricing and promotion -- Other AI use cases -- Create your "AI strategy and roadmap" -- Buying vs. building AI -- How to run a proof of concept bake-off effectively -- Transitioning to a fact-based, data-driven culture.

"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"--