摘要
Abstract
Against the backdrop of the digital economy,the marketing and brand communication of traditional feed enterprises are confronted with practical constraints such as high information search costs and low effi-ciency in trust building.As a key carrier of new quality productive forces,artificial intelligence(AI)technol-ogy provides new technical support for the restructuring of marketing models in feed enterprises.By integrat-ing animal growth data and nutritional demand models,AI technology facilitates the transformation of feed products from standardized supply to personalized nutrition solutions.Based on the transaction cost theory,signaling theory and endogenous growth theory,this paper systematically analyzes the internal mechanism through which AI technology enhances the marketing efficiency and brand communication capacity of feed enterprises,including reducing information search and matching costs,improving the quality of brand signals,optimizing dynamic pricing games and strengthening governance and supervision mechanisms.On this basis,it puts forward implementation approaches such as consolidating the digital infrastructure,advancing AIGC content creation,promoting service-embedded marketing and realizing agile organizational transformation.The findings provide theoretical references and practical insights for the digital marketing transformation and brand value enhancement of feed enterprises.关键词
人工智能/饲料企业/营销效率/品牌传播/数字化转型/精准营养/智能饲喂/动物生长模型Key words
artificial intelligence/feed enter-prises/marketing efficiency/brand communica-tion/digital transformation/precision nutrition/intelligent feeding/animal growth model分类
农业科技
