可以。
拓展资料
企业以互联网为依托,通过运用大数据、人工智能等先进技术手段,对商品的生产、流通与销售过程进行升级改造,进而重塑业态结构与生态圈,并对线上服务、线下体验以及现代物流进行深度融合的零售新模式。
未来电子商务平台即将消失,线上线下和物流结合在一起,才会产生新零售。线上是指云平台,线下是指销售门店或生产商,新物流消灭库存,减少囤货量。
新零售电子商务平台消失是指,现有的电商平台分散,每个人都有自己的电商平台,不再入驻天猫、京东、亚马逊大型电子商务平台。
“新零售”的核心要义在于推动线上与线下的一体化进程,其关键在于使线上的互联网力量和线下的实体店终端形成真正意义上的合力,从而完成电商平台和实体零售店面在商业维度上的优化升级。同时,促成价格消费时代向价值消费时代的全面转型。
此外,有学者也提出新零售就是“将零售数据化”。线上用户信息能以数据化呈现,而传统线下用户数据数字化难度较大。在人工智能深度学习的帮助下,视频用户行为分析技术能在线下门店进行用户进店路径抓取、货架前交互行为分析等数字化转化,形成用户标签,并结合线上数据优化用户画像,同时可进行异常行为警报等辅助管理。
新零售可总结为“线上+线下+物流,其核心是以消费者为中心的会员、支付、库存、服务等方面数据的全面打通”。
Yes.
Extended information
Relying on the Internet, enterprises upgrade and transform the production, circulation and sales process of commodities by using advanced technologies such as big data and artificial intelligence, thereby reshaping the business structure and ecosystem, and deeply integrating online services, offline experiences and modern logistics into a new retail model.
In the future, e-commerce platforms will disappear. Only when online and offline are combined with logistics can new retail be created. Online refers to cloud platforms, and offline refers to sales stores or manufacturers. New logistics eliminates inventory and reduces the amount of stock.
The disappearance of new retail e-commerce platforms means that the existing e-commerce platforms are scattered, and everyone has their own e-commerce platform, and no longer enters Tmall, JD.com, and Amazon large e-commerce platforms.
The core meaning of "new retail" is to promote the integration of online and offline. The key is to make the online Internet power and offline physical store terminals form a real synergy, so as to complete the optimization and upgrading of e-commerce platforms and physical retail stores in the commercial dimension. At the same time, it promotes the comprehensive transformation from the era of price consumption to the era of value consumption.
In addition, some scholars have also proposed that new retail is "digitalization of retail". Online user information can be presented in the form of data, while traditional offline user data is difficult to digitize. With the help of artificial intelligence deep learning, video user behavior analysis technology can digitally transform offline stores such as capturing user entry paths and analyzing interactive behaviors in front of shelves, form user tags, and optimize user portraits in combination with online data. At the same time, auxiliary management such as abnormal behavior alerts can be performed.
New retail can be summarized as "online + offline + logistics, and its core is the comprehensive connection of membership, payment, inventory, service and other aspects of data centered on consumers."