Consumer retail industry and profitability: The role of analytics

Kristina Candance Rogermann, Abdel Al Shahtelab
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引用次数: 0

Abstract

As the retail industry gets extensively competitive, the ability to optimize business processes while gratifying customer expectations has never been more essential. Consequently, managing and channelizing info to work to client delight & generate whole revenue is crucial to survive prosperously. In the circumstance of big show players globally and in America, info or perhaps rather big data analytics is now used for every phase of the show progression, tracking emerging items which are common, forecasting potential sales and demand through predictive simulation, optimizing product placements and offers by customer heat mapping, and several others. Alongside this specific, determining the customers are extremely prone to be sharp on certain merchandise sorts based on their prior actions, working out the easiest technique to target them through certain marketing initiatives, and finally working out what to advertise them following will be the point that forms the middle of data analytics. This particular statement will be the product of a descriptive exploration of yesteryear, present and future of the retail industry, and the application of business analytics in shaping suitable marketing methods.
消费零售业与盈利能力:分析的作用
随着零售业竞争日益激烈,在满足客户期望的同时优化业务流程的能力从未像现在这样重要。因此,管理和引导信息以使客户满意并产生全部收入是成功生存的关键。在全球和美国的大型展会参与者的情况下,信息或大数据分析现在被用于展会进展的每个阶段,跟踪常见的新兴项目,通过预测模拟预测潜在的销售和需求,通过客户热图优化产品放置和提供,等等。除此之外,根据客户之前的行为,确定他们对特定商品类型的偏好,制定最简单的技术,通过特定的营销计划来瞄准他们,最后制定他们遵循的广告,这将是数据分析的核心。这个特别的陈述将是对零售业的过去、现在和未来的描述性探索的产物,以及商业分析在塑造合适的营销方法中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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