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新零售模式下实体店转型困境及应对策略

新零售模式下实体店转型困境及应对策略

摘  要

随着科技的飞速发展和消费者行为的深刻变化,新零售模式正逐步重塑传统零售业格局。新零售以消费者为核心,通过线上线下深度融合,运用大数据、云计算、人工智能等先进技术,实现零售行业的全面数字化转型。本文通过梳理新零售理论、实体店转型理论及数字化转型理论,为分析实体店转型问题奠定理论基础。随后,本文详细分析了实体店在新零售模式下所面临的四大困境:消费者认知与体验困境、运营管理与供应链困境、技术应用与数据困境、市场竞争与品牌困境。针对这些困境,本文提出了相应的应对策略,包括加强线上线下融合以提升消费者认知与体验,精细化库存管理以降低运营成本,加快技术升级以打破数据孤岛,以及强化市场竞争力和塑造差异化品牌以应对市场竞争与品牌挑战。

关键词:新零售模式 实体店转型 消费者体验

Abstract

With the rapid development of science and technology and the profound changes of consumer behavior, the new retail model is gradually reshaping the traditional retail pattern. With consumers as the core, the new retail, through the deep integration of online and offline, the use of big data, cloud computing, and artificial intelligence and other advanced technologies to realize the comprehensive digital transformation of the retail industry. By sorting out the new retail theory, the transformation theory of physical stores and the digital transformation theory, this paper lays a theoretical foundation for the problem of the analysis of the transformation of physical stores. Subsequently, this paper analyzes in detail the four difficulties faced by physical stores under the new retail model: consumer cognition and experience dilemma, operation management and supply chain dilemma, technology application and data dilemma, market competition and brand dilemma. For these difficulties, this paper puts forward the corresponding countermeasures, including strengthening online integration to improve consumer cognition and experience, fine inventory management to reduce operating costs, speed up the technology upgrade to break the data island, and strengthen the market competitiveness and differentiated brand to meet the market competition and brand challenges..

Keywords: New retail model  physical store transformation  consumer experience

目  录
一、引言 1
二、相关理论概述 1
(一)新零售理论 1
(二)实体店转型理论 1
(三)数字化转型理论 2
三、新零售模式下实体店转型困境 2
(一)消费者认知与体验困境 2
(二)运营管理与供应链困境 3
(三)技术应用与数据困境 3
(四)市场竞争与品牌困境 3
四、新零售模式下实体店转型应对策略 4
(一)提升消费者认知与体验 4
(二)优化运营管理与供应链 4
(三)加强技术应用与数据驱动 5
(四)应对市场竞争与品牌挑战 5
五、结论 6
致  谢 7
参考文献 8

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