Core Insights - The article discusses the evolution of the classic 4P marketing theory (Product, Price, Place, Promotion) in the context of the AI era, highlighting how AI is reshaping marketing strategies and operations across industries [2][26]. Group 1: Product - The shift from standardized products to personalized and intelligent offerings is emphasized, with AI enabling real-time market insights and customer data analysis to drive product development [4][5]. - AI allows for hyper-personalized product customization, catering to niche demands and long-tail markets that traditional models often overlook [5]. - AI tools shorten the feedback loop between product development and market response, enabling continuous user involvement in the co-creation process [5][4]. Group 2: Price - Traditional pricing strategies are static, relying on market research and cost analysis, which can lead to risks in pricing decisions [6]. - AI's computational power transforms pricing logic, allowing businesses to simulate various pricing strategies and their impacts on sales and profits before market launch [7]. - Real-time dynamic pricing becomes feasible with AI, which considers numerous variables to optimize pricing strategies, as seen in industries like airlines and e-commerce [8][6]. Group 3: Place - The article notes the transition from physical retail channels to a fully integrated omnichannel approach, where AI plays a crucial role in unifying consumer data across various touchpoints [9][10]. - AI enables seamless consumer experiences by integrating online and offline interactions, allowing for personalized promotions and synchronized shopping records [12][10]. - New channel forms are emerging, blurring the lines between physical and digital spaces, enhancing consumer engagement through immersive technologies [13]. Group 4: Promotion - The traditional advertising model is evolving from broad broadcasting to targeted one-on-one marketing, with AI optimizing content creation and distribution [14][18]. - AI-generated content significantly reduces production costs and enhances efficiency, allowing marketers to focus on strategic thinking [18]. - The shift from SEO to GEO is highlighted, where brands must ensure their content is understood and referenced by AI models rather than just being visible in search results [19][20]. Conclusion - The article concludes that AI is enabling a more precise and dynamic approach to marketing, transforming the traditional 4P framework into a model that allows for real-time optimization and resource allocation [25][26].