Implications of Machine Learning on Indian Marketing Strategies

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Mohan Raparthi, Sarath Babu Dodda, Dr. Ankit Agarwal, Abhilasha Singh Upadhyaya, Dr. Abhishek Sharma, Sundarapandiyan Natarajan

Abstract

This paper explores the effect of machine learning (ML) on Indian marketing strategies, focusing on e-commerce, rural advertising and marketing, and financial services. It highlights the shift from conventional advertising frameworks to data-driven strategies, addressing both advantages and challenges. The paper also explores the distributional effects of ML on specific consumer demographics, particularly in rural settings, and how those technologies can bridge or widen the digital divide. Through analysis of case research and scholarly articles, the studies affords insights into future trends and the need for inclusive virtual advertising practices.


 


 

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