Artificial Intelligence for Marketing Strategies

Real-Life Applications and Case Studies
1. Auflage 2026
ISBN: 978-1-041-03417-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: AI Applications and Case Studies for Business

This book introduces emerging artificial intelligence (AI) technologies and their potential to reshape the marketing landscape, offering a forward-looking perspective on the future of marketing strategies. It leverages AI for enhanced customer engagement, brand building, and business excellence. From understanding customer behaviour in the AI era to strategically integrating AI-driven technologies, Artificial Intelligence for Marketing Strategies: Real-Life Applications and Case Studies provides actionable insights and practical tools for predictive market insights, data-driven decisions, and innovative customer engagement.

Features

- Insights into how AI redefines customer behaviour analysis and enhances data-driven strategies

- Practical guidance on embedding AI tools like predictive analytics and machine learning into marketing workflows

- Detailed analysis of how chatbots and conversational AI elevate customer experiences and strengthen brand positioning

- Predictive analytics discussions for forecasting market trends and achieving business goals

- Real-world examples showcasing the practical applications and outcomes of AI-driven marketing initiatives

This book is for professionals, scholars, and decision-makers looking to navigate the transformative potential of AI in the modern marketing landscape.

Zielgruppe

Academic

Autoren/Hrsg.

Choudhary, Sharuti

Kannan, Hemachandran

Alagarsamy, Devendran

Dhaou, Imed Saad Ben

Musiolik, Thomas Heinrich

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Business Application Groupware
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management

Inhaltsverzeichnis

1. The Role of AI in Marketing  2. Human AI Interaction In Marketing  3. Human-AI Collaboration in Marketing  4. Strategies for AI-powered Influencer Marketing in the Era of Industry 6.0  5. Nudging the Digital Cart: Role of AI in Shaping E-Grocery Choices  6. Exploring Consumer Behavior in Online Shopping: A Bibliometric and Framework based Systematic Review of Artificial Intelligence, Augmented Reality, Virtual Reality and Chatbots using TCM-ADO Framework  7. Analysing the Influence of AI on Customer Behavior in the Digital Era  8. Artificial Intelligence Meets Entrepreneurship: Navigating Marketing Personalization  9. Key Performance Indicators (KPIs) for AI Marketing  10. Ethics and Privacy in AI Marketing: Navigating Innovation with Responsibility  11. Experiential AI in Customer Experience Management: A Framework for Immersive, Co-Creative, and Ethical Customer Engagement  12. Enhancing Marketing with AI: Cutting-Edge Tactics for Future Consumer Engagement  13. Case Studies: Demonstrating AI-Powered Marketing Tactics  14. Personalization at Scale to Enhance Customer Experience: A Case Study of Amazon  15. Conclusion: Future of AI in Marketing

Über Autor(innen)

Dr Shruti Choudhary is a Business Analyst, strategist, and academic with over two decades of experience across banking, retail, healthcare, and higher education. She holds a PhD in Marketing and Technology and an MBA, and has led complex digital transformation and analytics-driven initiatives globally. Sharuti specializes in business process optimization, predictive analytics, and data-driven decision-making using tools such as SQL, Power BI, and advanced Excel. A certified Salesforce Administrator and Agile practitioner, she actively bridges academia and industry through research, executive training, and international collaborations, helping organizations convert analytical insight into measurable strategic impact.

Dr. Hemachandran K is Director of the AI Research Centre and Vice Dean at Woxsen University, where he leads research in artificial intelligence, machine learning, and analytics. He has authored 7 books, edited twenty two volumes, and holds multiple patents spanning healthcare intelligence, neuroadaptive systems, predictive modeling, and quantum-AI architectures. He serves as a UNESCO Expert, AI Accelerator Institute Ambassador, and advisor to international technology firms. His work integrates AI research with real-world deployment across education, governance, infrastructure, and decision intelligence systems, emphasizing scalable, ethical, and industry-relevant innovation.

Dr. Devendran A is a Professor of Data Science, Artificial Intelligence, and Business Analytics with more than twenty years of academic and research experience. He earned his PhD in Computer Science and has authored seven books alongside over 35 Scopus- and SCI-indexed research publications. His expertise includes predictive analytics, business intelligence, and AI-driven decision systems using Python, Power BI, and SQL. Dr. Devendran has supervised doctoral scholars, led accreditation initiatives, and contributed to curriculum design in higher education. His research spans healthcare technologies, mobile systems, and applied AI for organizational and operational excellence.

Prof. Imed Saad Ben Dhaou is a Full Professor of Embedded Systems at Dar Al-Hekma University and Adjunct Professor at the University of Turku. Recognized among Stanford’s Top 2% Scientists, he has authored over 100 journal and conference papers in embedded systems, IoT architectures, VLSI design, intelligent transportation systems, and low-power circuit optimization. He holds a PhD from the Royal Institute of Technology (KTH), Sweden. Prof. Ben Dhaou serves as Editor for the Microelectronics Journal (Elsevier) and has led international research initiatives on high-level power estimation, interconnect optimization, and resilient computing systems across academia and industry.

Prof. Thomas Heinrich Musiolik is Chair Professor of Marketing and Technology at Woxsen University and Editor-in-Chief of the Journal of Future Robot Life. With academic roles across Germany, Japan, and Europe, he researches consumer behavior, experience design, neuromarketing, and the societal impact of artificial intelligence. Holding advanced degrees in management and international business, he serves as Scientific Reviewer for the European Commission and ambassador for Brain City Berlin. His work explores how digital media and AI influence cognition, brand perception, and behavioral change, aiming to align technological advancement with human-centered and socially responsible innovation.