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Generative AI for Retail Innovation

09.25.26 | Bentham Science Publishers

Generative AI for Retail Innovation

Reshaping the Shopping Experience: New Book Explores How Generative AI Is Transforming Retail

Bentham Books announces the release of Generative AI for Retail Innovation , a timely reference exploring how emerging AI technologies are reshaping retail through smarter decision-making, personalized customer experiences and sustainable business growth.

About the Book

As generative AI reshapes industries at breakneck speed, retail stands out as one of the sectors most ripe for transformation. This book examines the application of generative AI across retail functions 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 meet evolving consumer expectations in a rapidly changing digital environment.

Organized into fourteen chapters, the book covers 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 insight, offering a balanced perspective on the opportunities and challenges of implementing generative AI in retail.

Key Features

Readership

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

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

About the Editors

Nupur Arora, School of Business Studies, Vivekananda Institute of Professional Studies–TC, New Delhi, India.

Aanchal Aggarwal, School of Business Studies, Vivekananda Institute of Professional Studies–TC, New Delhi, India.

Parul Manchanda, Department of Management Studies, Netaji Subhas University of Technology, New Delhi, India.

Rohit Bansal, Department of Management, Rockford College, Sydney, Australia.

Ramakrishna Yanamandra, School of Business, Horizon University College, Ajman, UAE.

Book Link: https://bit.ly/4yfl4qn

DOI: 10.2174/97988988175651260101

10.2174/97988988175651260101

Keywords

Article Information

Contact Information

Noman Akbar
Bentham Science Publishers
nomanakbar@benthamscience.net

Source

This article is based on a news release from Bentham Science Publishers. BrightSurf curates and republishes science news from research institutions worldwide; the original release is linked below.

How to Cite This Article

APA:
Bentham Science Publishers. (2026, September 25). Generative AI for Retail Innovation. Brightsurf News. https://www.brightsurf.com/news/L592J598/generative-ai-for-retail-innovation.html
MLA:
"Generative AI for Retail Innovation." Brightsurf News, Sep. 25 2026, https://www.brightsurf.com/news/L592J598/generative-ai-for-retail-innovation.html.