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Enhancing Consumer Behavior and Experience Through AI-Driven Insights Optimization
Abstract
This chapter delves into the role of AI-driven behavioral analytics in understanding, predicting, and enhancing consumer experiences. It highlights the integration of behavioral analytics, consumer experiences, and predictive modeling in reshaping market dynamics. The chapter explains the fundamental components of behavioral analytics, emphasizing its significance in understanding consumer preferences and decision-making processes. It also discusses the impact of AI-powered predictive analytics on consumer experiences, anticipating behaviors and fostering proactive strategies. It addresses ethical concerns like data privacy and algorithmic biases. The chapter provides a guide for practitioners, researchers, and businesses to harness AI's transformative potential in contemporary markets.
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“AI offers brands unparalleled capabilities to amplify and personalize their narratives, but it also tests the fundamental tenets of branding -consistency, authenticity, trust (Naveeenkumar et al., 2024;McKay et al., 2022;More & Unnikrishnan, 2024;Pattanayak, 2022).”
From Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence (2025) · cites this paper as Naveeenkumar et al., 2024
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Metadata
- Authors
- Naveeenkumar, N., Rallapalli, S., Sasikala, K., Priya, P. V., Husain, J., & Boopathi, S.
- Affiliations
- Department of Computer Science and Engineering, Muthayammal Engineering College (Autonomous), Namakkal, India
- Nitte Meenakshi Institute of Technology (IN)
- Department of Information Technology, R.P. Sarathy Institute of Technology, Salem, India
- Department of Management Studies, Kongu Engineering College, Perundurai, Erode, India
- Department of Applied Sciences, Faculty of Engineering and Technology KBNU Kalaburagi, India
- Mechanical Engineering, Muthayammal Engineering College (Autonomous), Namakkal, India
- Venue
- Advances in Marketing, Customer Relationship Management, and E-Services
- Publisher
- IGI Global
- Published
- 2024-03-01
- Pages
- 1-35
- ISSN
- 2327-5502 (ISSN-L)
- 2327-5529
- OpenAlex
- W4392368823
- Cited by
- 65
- References
- 52
- Citations by year
- 2026: 6 · 2025: 21 · 2024: 38
- FWCI
- 42.78
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Advances in marketing, customer relationship management, and e-services book series (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- consumer behavior, behavioral analytics, AI-driven predictive analytics, customer experience, consumer preferences, purchase decision, data privacy, algorithmic bias, AI ethics, market dynamics
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- The paper
- Naveeenkumar, N., Rallapalli, S., Sasikala, K., Priya, P. V., Husain, J., & Boopathi, S. (2024). Enhancing Consumer Behavior and Experience Through AI-Driven Insights Optimization. Advances in Marketing, Customer Relationship Management, and E-Services. https://doi.org/10.4018/979-8-3693-1918-5.ch001