How to Improve Marketing Efficiency and Precision through AI-Driven Innovative Products

Abstract

The rapid emergence of big data and artificial intelligence has significantly transformed the marketing paradigms of traditional enterprises, offering unprecedented opportunities for growth and structural evolution. This article systematically summarizes critical technological advancements, including data-driven marketing strategies, the construction of sophisticated user behavior models, and the integration of natural language processing for enhanced market insights. It further explores the fundamental design concepts of intelligent marketing systems and the practical implementation of these systems within corporate environments. By examining marketing methodologies from multiple strategic perspectives, this study proposes actionable frameworks to achieve data-driven precision marketing and highly refined customer management. Furthermore, the paper provide strategic suggestions for enterprises seeking to establish a robust and scalable intelligent marketing framework. Through the integration of automated analytics and predictive modeling, these approaches aim to optimize resource allocation and improve consumer engagement, ultimately providing a comprehensive technical and theoretical roadmap for digital transformation in the modern commercial landscape.