JJEM: Special Edition 4 (May 2025)
JJEM: Special Edition 4 (May 2025)
2025-05-31
A Study on the Role of AI in Predictive Analytics For Consumer Trends
Mr.Arunkumar M.S, Dr.Santhosha, Mr. Eshwar S.M
In today's data-driven business environment, predictive analytics powered by artificial intelligence (AI) is transforming how companies understand consumer behavior and anticipate trends. Traditional methods such as surveys and focus groups are increasingly supplemented or replaced by AI-driven tools that analyze vast amounts of consumer data, identify emerging patterns, and forecast future behaviors with enhanced accuracy and efficiency. Machine learning (ML), a core component of AI, enables businesses to leverage historical data and make informed predictions, from personalized recommendations to dynamic marketing strategies. This research explores the role of AI in predictive analytics, focusing on its impact on forecasting consumer trends, integrating diverse data sources, and improving decision-making. Key AI techniques such as supervised and unsupervised learning, deep learning, and time-series analysis are evaluated for their effectiveness in enhancing predictive accuracy. Moreover, the study addresses the challenges businesses face in adopting AI, such as data privacy concerns, ethical considerations, and the need for organizational transformation to fully embrace AI capabilities. By examining the applications, benefits, and ethical implications of AI in trend forecasting, this paper provides a comprehensive understanding of how AI is shaping the future of consumer insights and marketing strategies, offering actionable insights for businesses aiming to stay competitive in an ever-changing market.
Artificial intelligence, predictive analytics, Machine learning, consumer trends