Published March 8, 2024
| Version v1
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Using Artificial Intelligence (AI) in Developing Marketing Strategies
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This research explores the application of artificial intelligence (AI) in contemporary marketing strategies. Through case analysis of leading companies, the study uncovers how AI contributes to market data analysis, marketing personalization, trend forecasting, marketing process automation, recommendation systems, and chatbot development. Data was collected by studying existing literature and analyzing case studies of companies such as Amazon, Netflix, Starbucks, Spotify, Alibaba, and Sephora. The results show that using AI in marketing improves operational efficiency, enriches the customer experience, and increases engagement and loyalty
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Related works
- Is compiled by
- 10.59890/ijarss.v1i3.896 (DOI)
Dates
- Accepted
-
2023-11-29
References
- Aldhyani, T. H. H., & Alzahrani, A. (2022). Framework for Predicting and Modeling Stock Market Prices Based on Deep Learning Algorithms. Electronics, 11(19), 3149. https://doi.org/10.3390/electronics11193149
- Arief, N. N., & Gustomo, A. (2020). Analyzing the Impact of Big Data and Artificial Intelligence on the Communications Profession: A Case Study on Public Relations (PR) Practitioners in Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 10(3), 1066. https://doi.org/10.18517/ijaseit.10.3.11821
- Bahasoan, A. N., Muhammad, & Marsudi. (2023). Regional Autonomy and Poverty in Indonesia: A Literature Review. East Asian Journal of Multidisciplinary Research, 2(4), 1613–1624. https://doi.org/10.55927/eajmr.v2i4.3869
- Cai, W., Grossman, J., Lin, Z. J., Sheng, H., Wei, J. T.-Z., Williams, J. J., & Goel, S. (2021). Bandit algorithms to personalize educational chatbots. Machine Learning, 110(9), 2389–2418. https://doi.org/10.1007/s10994-021-05983-y
- Carvalho, A., Levitt, A., Levitt, S., Khaddam, E., & Benamati, J. (2019). Off-The-Shelf Artificial Intelligence Technologies for Sentiment and Emotion Analysis: A Tutorial on Using IBM Natural Language Processing. Communications of the Association for Information Systems, 44(1), 918–943. https://doi.org/10.17705/1CAIS.04443