Assortment Management in DIY Retail with Portfolio Matrices (On the Example of “Leroy Merlin” Stores)

A. S. Doronin, T. Babenko
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Abstract

In the past few years, retail trade in Russia has undergone quite a few changes. The transformation of retail occurs primarily due to the widespread introduction of digital technologies, which inevitably affects the management processes existing among retailers. Thus, possessing big data and applying advanced statistical methods to it, the management of retail chains can significantly speed up the decisionmaking process and, moreover, make these decisions more substantiated.Updating of approaches specifically to assortment management in DIY retail (Do It Yourself) is an extremely important issue for Russian business in the coming years, due to increased competition in the online segment of the DIY market. In an effort to increase their sales, retailers are adapting the assortment matrix of each store in accordance with the demand presented in its coverage area. This is where the need arises for the use of special tools for assortment analysis.The aim of the study is to develop recommendations in the field of managing a large assortment portfolio for DIY retailers.The objects of the study were several Leroy Merlin hypermarkets located in Novosibirsk. One of the  authors of the study has experience working in a company as a head of the trade sector, which indicates a deeper understanding of the specifics of the work of both the company and the industry as a whole. As a result, in managing the assortment portfolio at the level of goods, an adapted method of the modified BCG matrix is proposed. Consideration of changes in the position of goods on the matrix in dynamics made it possible to formally determine the boundaries between its quadrants. A clearer understanding of the boundaries of the matrix simplifies its regular construction and understanding the distribution of goods by groups allows build dashboards that are updated in real time.
基于组合矩阵的DIY零售商品分类管理(以“Leroy Merlin”商店为例)
在过去的几年里,俄罗斯的零售业发生了不少变化。零售业的转型主要是由于数字技术的广泛引入,这不可避免地影响了零售商之间现有的管理流程。因此,拥有大数据并将先进的统计方法应用于零售连锁店的管理,可以大大加快决策过程,并使决策更加有根据。由于DIY市场在线部分的竞争加剧,在未来几年,更新DIY零售(自己动手)的分类管理方法对俄罗斯企业来说是一个极其重要的问题。为了增加销售额,零售商正在根据其覆盖区域内的需求调整每家商店的分类矩阵。这就是需要使用特殊工具进行分类分析的地方。本研究的目的是为DIY零售商提供管理大型分类组合的建议。研究对象是位于新西伯利亚的几家Leroy Merlin大卖场。该研究的一位作者曾在一家公司担任贸易部门的负责人,这表明他对公司和整个行业的工作细节都有更深入的了解。为此,提出了一种基于修正BCG矩阵的商品分类组合管理方法。考虑到物品在动力学矩阵上位置的变化,可以正式确定其象限之间的边界。对矩阵边界的更清晰理解简化了它的常规构造,并且理解按组分配的商品可以构建实时更新的仪表板。
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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