AI-Powered Business Analytics in Marketing: Unlock Consumer Insights for Competitive Growth in the U.S. Market

Abstract

The fast evolution of artificial intelligence (AI) has revolutionized the business analytics industry, especially in the field of marketing, where companies are willing to learn more about consumer behavior in order to facilitate competitive development. This paper explores how AI-based analytics can support identifying customer insights through online reviews of products through a massive e-commerce market in the U.S. This study examines how AI-driven business analytics can be used in marketing, specifically how it can unlock consumer insights that can be used to grow competitively in the U.S. market. The research uses the Amazon Product Reviews Dataset which contains structured and unstructured consumer reviews that include ratings, text reviews, helpful votes, and timestamps. Through the use of AI methods including sentiment analysis, predictive modeling, and recommendation engines, the study shows how companies can extract deep behavioral patterns of large-scale review data. Through the analysis, it is noted that although overall product ratings show high prevalence of customer satisfaction, there are differences in helpful votes which bring to attention the validity and strength of balanced review, and temporal review patterns which show cycles of consumer engagement due to promotions and seasonal shopping patterns. These results highlight the advantage of AI-driven solutions over the traditional marketing analytics that tend to use averages, simple surveys, and static segmentation that do not account for the subtleties and do not predict future behaviors. The paper also emphasizes the role of AI in improving personalization, segmentation, and decision-making backed by data that may lead to customer loyalty, increasing brand trust, and innovation-related development. In addition to benefits to the organization, it has spread out to the U.S. economy through enhancing competitiveness in the international markets and ensuring resilience due to consumer-focused approaches. Although the study also notes some weaknesses associated with the scope of the dataset, geographical focus, and computational power, it notes that AI has the potential to become a strategic imperative in business. This study will have its contribution to both scholarship and practice in demonstrating how AI-enhanced consumer insights may transform marketing practices to make sure that U.S. firms will be competitive in a more digital and globalized world.