疲劳或灵感:使用再生人工智能创建情境、用户和时间感知个性化购物指导的概念模型

IF 1.8 Q3 BUSINESS
Russell J. Zwanka, Marcel M. Zondag
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引用次数: 0

摘要

摘要本文提出了一个以消费者为中心的可再生人工智能(ReGenAI)模型,用于快速消费品(FMCG)零售渠道。该系统利用其对上下文、时间和用户的感知来(重新)生成客户接触点和其他营销通信。它的输出提供了对常规和改变的快速消费品客户旅程的深刻见解,例如在生活方式选择或灾难性的社会经济和天气事件等压力因素下的购物行为。递归模型是从当前的生成式人工智能系统发展而来的。它使用“疲倦或受鼓舞”作为简化的杂货购物者分类学,将客户的购买和消费行为转化为可操作的数据,用于需求规划和零售运营。关键词:人工智能;再生;购物营销;消费者营销;零售业务;作者简介:russell J. Zwanka是西密歇根大学食品营销项目的主管,也是食品营销领域的教授,西密歇根大学是世界上最顶尖的食品营销项目之一。提供高质量的课程和应用食品营销技能,与食品工业研究和教育中心一起,西密歇根大学努力与食品工业合作,提供实时解决方案,同时也帮助教育食品工业的未来领导者。Marcel M. Zondag是西密歇根大学市场营销和供应链管理副教授,供应链管理项目主任,食品工业研究与教育(FIRE)中心主任。供应链管理项目被Gartner评为全美第14位。消防中心与世界各地的行业和学术合作伙伴密切合作,在食品营销和供应链管理方面提供思想领导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tired or Inspired: A Conceptual Model for Using Regenerative Artificial Intelligence to Create Context, User, and Time-Aware Individualized Shopping Guidance
AbstractThis paper conceptualizes a consumer-centric, regenerative artificial intelligence (“ReGenAI”) model for the Fast-Moving Consumer Goods (“FMCG”) retailing channel. The system uses its awareness of context, time, and users to (re)generate customer touchpoints and other marketing communications. Its output provides deep insights into regular and altered FMCG customer journeys, such as shopping behaviors under stressors like lifestyle choices or cataclysmic socio-economic and weather events. The recursive model advances from current, generative AI systems. It uses “tired or inspired” as a simplified bifurcated grocery shopper taxonomy to operationalize customers’ purchasing and consumption behaviors into actionable data for demand planning and retail operations.Keywords: Artificial intelligenceregenerative AIshopper marketingconsumer marketingretail operationsrecommender systemsnudginggroceryshoppers Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsRussell J. ZwankaRussell J. Zwanka is the director of the Food Marketing Program and professor of category management and food marketing at Western Michigan University, one of the top Food Marketing programs in the world. Delivering high-quality curriculum and applied food marketing skills, along with the Food Industry Research and Education Center, Western Michigan University endeavors to work with the food industry to provide real-time solutions while also helping educate the future leaders of the food industry.Marcel M. ZondagMarcel M. Zondag is an associate professor of marketing and supply chain management, the Supply Chain Management Program director, and the Food Industry Research & Education (FIRE) Center director at Western Michigan University. The Supply Chain Management Program is ranked 14th nationwide by Gartner. The FIRE center works closely with industry and academic partners worldwide, providing thought leadership in food marketing and supply chain management.
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来源期刊
CiteScore
7.60
自引率
6.10%
发文量
29
期刊介绍: The Journal of International Consumer Marketing examines consumer and organizational buyer behavior on a cross-cultural/national and global scale combining up-to-date research with practical applications to help you develop an action plan for successful marketing strategy development. Business professionals, policymakers, and academics share insights and "inside" information on a wide range of cross-cultural marketing issues, including international business customs, negotiating styles, consumer brand loyalty, price sensitivity, purchasing and leasing, consumer satisfaction (and dissatisfaction), and advertising.
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