AI in Marketing |
Author(s): |
| Tanish Agrawal , CMS Jain University; TS Chinmayi, CMS Jain University; Hanish Agarwal, CMS Jain University; Sharad Khuslani, CMS Jain University |
Keywords: |
| Artificial Intelligence (AI), Predictive Analytics, Customer Loyalty, Marketing Efficiency, Decision-Making, Marketing Automation, Consumer Behaviour, Machine Learning (ML) |
Abstract |
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This research investigates the transformative impact of Artificial Intelligence (AI) on modern marketing practices, exploring the revolutionary tools and applications reshaping the industry. Employing a mixed-methods approach, combining quantitative analysis of survey data with qualitative insights from interviews and case studies, this study provides a comprehensive understanding of AI's current utilization and its tangible effects on marketing outcomes. Findings reveal AI's potential to significantly enhance marketing efficiencies, personalize customer experiences, and drive measurable results through advanced analytics and automation. However, the study also underscores the critical importance of addressing ethical considerations, ensuring data quality, and recognizing the indispensable role of human oversight in AI-driven marketing strategies. By identifying research gaps in integrated AI frameworks and the longitudinal effects of AI on consumer behavior, this research offers actionable recommendations for practitioners, aiming to harness AI's transformative power and maintain a competitive edge in an increasingly AI-infused marketing landscape. Ultimately, this study contributes to a deeper understanding of AI's role in shaping the future of marketing and provides a foundation for developing effective, ethical, and value-driven AI strategies. |
Other Details |
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Paper ID: IJSRDV13I20006 Published in: Volume : 13, Issue : 2 Publication Date: 01/05/2025 Page(s): 8-11 |
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