AI-Enabled Precise Market Demand Insight and Strategy Adaptation in Marketing

Abstract

In the digital economy era, the market environment exhibits diverse and complex characteristics, and consumer demands are increasingly personalized and dynamic, making it difficult for traditional marketing models to accurately capture market needs. This paper focuses on exploring effective paths for AI-enabled marketing, conducts an in-depth analysis of the adaptation mechanism between AI and demand insight, constructs a precise insight system of “data collection - intelligent mining - dynamic prediction”, and establishes a three-dimensional strategy adaptation framework covering products, channels, and communication. It further improves the theoretical system by integrating value transformation, case verification, and practical deepening. The research aims to address the core pain points of traditional marketing, verify the practical value of AI in cost reduction, efficiency improvement, and quality enhancement, clarify the deepening directions at the technical, ethical, and organizational levels, and provide systematic support for enterprises to improve the level of marketing intelligence and consolidate core competitiveness.