新零售数字化转型的智能系统设计

Man Xie
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引用次数: 0

摘要

互联网技术的普及和应用加速了新零售企业的数字化转型。本文以中国新零售营销理论“人-产品-地”为基础,通过消费者数字化、渠道数字化和终端场景数字化,设计了新零售智能数字化系统。我们从会员标签库、精准营销和推广等方面深入研究新零售的数字化转型,通过标签库的应用带动消费者运营。在店铺、货架、陈列管理中经过深度学习和训练的计算机视觉系统,能够准确识别图片中的商品信息,自动检测并实时发出预警。再将K-Means、RCM Model、F1 Score、Life Cycle Management (LCM)等整合到智能数字化平台上,借助云计算、物联网(IoT)、商业智能(BI)等技术打通全环节,通过合适的渠道快速将商品推送到精准的客户手中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart system design for digital transformation of new retail
The popularization and application of Internet technologies accelerate digital transformation of new retail enterprises. Based on “People-Product-Place”, a marketing theory of China’s new retail, this paper designed a smart digital system for new retail through consumer digitization, channel digitization and terminal scene digitization. We deeply studied the digital transformation of new retail from the aspects of member label database, precision marketing and promotion, and drive consumer operation through the application of label database. The computer vision system with in-depth learning and training in store, shelf and display management can accurately identify the commodity information in the picture, automatically detect and send out early warning in real time. Then K-Means, RCM Model, F1 Score and Life Cycle Management (LCM) to the smart digital platform, open up the whole link with the help of cloud computing, Internet of Things (IoT), business intelligence (BI) and other technologies, and quickly push goods to the exact customers through proper channels.
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