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Generative AI for Retail Innovation

Editors: Nupur Arora, Aanchal Aggarwal, Parul Manchanda, Rohit Bansal, Ramakrishna Yanamandra

Generative AI for Retail Innovation

ISBN: 979-8-89881-757-2
eISBN: 979-8-89881-756-5 (Online)

Introduction

Generative AI for Retail Innovation explores how emerging artificial intelligence technologies are reshaping the retail landscape by enabling smarter decision-making, personalized customer experiences, operational efficiency and sustainable business growth. The book focuses on the application of generative AI across retail functions, including marketing, customer engagement, merchandising, pricing, inventory management, supply chain operations, omnichannel retailing and strategic innovation. Readers will gain a comprehensive understanding of how retailers can leverage AI-driven capabilities to create value, enhance competitiveness and address evolving consumer expectations in a rapidly changing digital environment.

The book is organized into fourteen chapters covering foundational concepts, theoretical perspectives, practical applications, industry case studies and future trends in AI-enabled retailing. Topics include AI-powered personalization, conversational commerce, recommendation systems, virtual shopping assistants, demand forecasting, intelligent supply chains, retail analytics, ethical and responsible AI adoption, sustainability, customer experience management and emerging innovations in smart commerce. Contributions from scholars and practitioners provide both academic rigor and real-world insights, offering readers a balanced perspective on the opportunities and challenges associated with implementing generative AI in retail.


Key Features

  • - Interdisciplinary perspectives on AI applications in retail.
  • - Contemporary case studies, practical frameworks, evidence-based research findings and strategic recommendations for leveraging AI in retail environments.
  • - Structured content that integrates theory and practice while highlighting future directions for research and innovation.
  • - References in every chapter.

Target Readership :

Primary Readership: Researchers, academicians, doctoral scholars and postgraduate students in marketing, retail management, business analytics, information systems and artificial intelligence.

Secondary Readership: Retail managers, business leaders, consultants, entrepreneurs, technology professionals, policymakers and industry practitioners seeking to understand and implement AI-driven retail innovations.

Foreword

We are living in an era where technology no longer just supports business, it reshapes it. Across industries, few innovations have generated as much excitement, curiosity, and even anxiety as generative AI. For retail, a sector that thrives on understanding customers, anticipating trends, and delivering memorable experiences, generative AI offers a rare opportunity: the ability to reimagine how we create, connect, and compete.

Generative AI for Retail Innovation arrives at a critical moment. Retailers are under increasing pressure to differentiate in an overcrowded, hyper-personalized market. Supply chains need to be more agile, product designs more responsive, marketing more resonant, and customer service more intuitive. Generative AI is no longer just a buzzword — it is the engine powering a new wave of creativity and efficiency.

This book explores how forward-thinking retailers are applying generative AI to tackle real-world challenges: from designing customized products on demand, to generating compelling marketing content at scale, to enhancing in-store and online experiences with conversational AI. It offers not only technical insights but also practical case studies, ethical considerations, and strategic frameworks that leaders can use to drive meaningful innovation. As you turn these pages, you will discover that this is not just a book about technology — it is a book about transformation. It challenges you to rethink what’s possible in retail and invites you to embrace a future where human creativity and machine intelligence work hand in hand.

I believe that those who approach generative AI with both curiosity and responsibility will not just keep pace with change — they will shape it. This book will help you become one of those shapers. Whether you are a business leader, technology enthusiast, academic, or student, this book serves as an essential guide to understanding and harnessing the disruptive potential of AI.

Welcome to the frontier of retail innovation. Let’s explore it together.

Mostafa Mohammad
Salford Business School
University of Salford
Salford, UK