Artificial Intelligence in Marketing (Review of Marketing Research, Volume 20) – Editor-in-Chief Naresh K. Malhotra; Edited by K. Sudhir and Olivier Toubia

A cutting-edge compilation of research and case studies, Artificial Intelligence in Marketing delves into how AI reshapes brand strategy, personalization, and consumer insights. Edited by industry leaders Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, this volume gathers academic rigor and practical know-how into one cohesive work. From predicting purchase behavior to automating pricing decisions, the book illustrates how emerging technologies are transforming marketing at scale. Ideal for researchers, professionals, and executives who want a data-rich foundation in the future of customer engagement.

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A cutting-edge compilation of research and case studies, Artificial Intelligence in Marketing delves into how AI reshapes brand strategy, personalization, and consumer insights. Edited by industry leaders Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, this volume gathers academic rigor and practical know-how into one cohesive work. From predicting purchase behavior to automating pricing decisions, the book illustrates how emerging technologies are transforming marketing at scale. Ideal for researchers, professionals, and executives who want a data-rich foundation in the future of customer engagement.

Artificial Intelligence in Marketing (Review of Marketing Research, Volume 20) – Editor-in-Chief Naresh K. Malhotra; Edited by K. Sudhir and Olivier Toubia

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A cutting-edge compilation of research and case studies, Artificial Intelligence in Marketing delves into how AI reshapes brand strategy, personalization, and consumer insights. Edited by industry leaders Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, this volume gathers academic rigor and practical know-how into one cohesive work. From predicting purchase behavior to automating pricing decisions, the book illustrates how emerging technologies are transforming marketing at scale. Ideal for researchers, professionals, and executives who want a data-rich foundation in the future of customer engagement.