Using Big Data Analytics to Design an Intelligent Market Basket-Case Study at Sameh Mall

Farah Almaslamani, Raneem Abuhussein, Hanan Saleet, L. Abuhilal, Nader S. Santarisi
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引用次数: 3

Abstract

The long term social, economic and health impacts of the COVID-19 pandemic are still unknown Retailers should think about the impact this pandemic will have on the customer relationship Another factor that is rigorously influencing the retail industry is the digital transformation With the digital transformation worldwide, coupled with the exponential growth of the use of big data analytics, retailers can use intelligent market basket analysis to help in shoring up customer relationships This study uses big data analytics to design and analyze intelligent market basket in one top retailer in Jordan, "Sameh Mall" It aims to help managers to improve customer relationship while increasing sales Customers' behavioral similarities analysis results in different baskets, which contain items commonly bought together Such baskets are displayed physically in stores and are displayed online as promotions This study results are interesting, enabling Sameh Mall to send recommendations to VIP customers through their account on the online application;and recommendations for physical cross promotional or cross merchandising leading to increases in basket size, increase in sales, as well as increase in customer satisfaction © International Research Publication House
运用大数据分析设计智能市场——以Sameh Mall为例
2019冠状病毒病大流行对社会、经济和健康的长期影响仍然未知零售商应该考虑这场大流行对客户关系的影响另一个对零售业产生重大影响的因素是数字化转型随着全球数字化转型,加上大数据分析的使用呈指数级增长,本研究采用大数据分析方法,对约旦一家顶级零售商“Sameh Mall”的智能购物篮进行设计和分析,旨在帮助管理者在提高销售额的同时改善客户关系。这样的篮子在实体店展示,并在网上作为促销活动展示。这项研究的结果很有趣,使Sameh Mall能够通过在线应用程序上的帐户向VIP客户发送推荐,并推荐实体交叉促销或交叉销售,从而增加篮子尺寸,增加销售额,以及提高客户满意度©国际研究出版社
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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