智能营销和全球物流网络

IF 0.5 Q4 ECONOMICS
I. Kalenyuk, Viktoriia Riashchenko, I. Uninets
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引用次数: 0

摘要

在全球数字化转型的背景下,以网络和平台为基础的新通信系统正在形成,人们对环境问题和社会需求的关注度不断提高。本文旨在确定全球物流网络背景下智能营销发展的特殊性。文章利用系统分析方法,总结了智能技术在营销各个阶段的传播过程:从智能供应到智能消费。可视化图表证实了营销战略中最新信息技术支出的增长。文章揭示了智能营销概念的本质:智能营销正在数字化,以可持续发展为重点,以个性化报价和广告为基础,加速购买或交付商品,并关注消费者的合理要求。新产品市场正在崛起,其中数码产品、环保产品和有机产品所占比例很高。智能化进程正在改变企业的物流活动。新的技术解决方案(大数据、云解决方案、增强现实技术、无人机送货等)有助于为公司创造竞争优势,提高解决方案的效率,并显著扩大机会范围:需求个性化、满足客户的个性化要求、改善沟通和服务、扩大运营规模、深化分析和预测以及引入动态定价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SMART MARKETING AND GLOBAL LOGISTICS NETWORKS
In the context of the global digital transformation, new communication systems are being formed based on networking and platforms, increased attention to environmental issues and social needs of the population. The purpose of the article is to identify the peculiarities of smart marketing development in the context of global logistics networks. Using the methods of system analysis, the article summarises the processes of spreading smart technologies at all stages of marketing: from smart supply to smart consumption. Graphical visualisation confirms the growth of spending on the latest information technologies in marketing strategies. The essence of the smart marketing concept is revealed: it is becoming digitised and focused on sustainable development, based on personalisation of offers and advertising, acceleration of the purchase or delivery of goods, and focuses on reasonable consumer requirements. A market for new products is emerging, with a high share of digital components, eco-friendly and organic products. Smartisation processes are transforming the logistics activities of companies. New technical solutions (big data, cloud solutions, augmented reality, drone delivery, etc.) help create competitive advantages for the company, increase the efficiency of its solutions, and significantly expand the range of opportunities: personalisation of demand, satisfaction of individual customer requests, improved communications and service, scaling up operations, deeper analysis and forecasting, and the introduction of dynamic pricing.
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自引率
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发文量
48
审稿时长
12 weeks
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