Detecting Inefficiently Managed Categories in a Retail Store

30 Pages Posted: 19 Oct 2014

See all articles by Marcel Goic

Marcel Goic

University of Chile - Industrial Engineering

Máximo Bosch

University of Chile - Engineering Department

Juan Castro

University of Chile - Engineering Department

Date Written: September 1, 2013

Abstract

Growth in operational complexity is a worldwide reality in the retail industry. One of the most tangible expressions of this phenomenon is the enormous increase in the number of products offered. To cope with this problem the industry has developed the “Category Management” approach, in which groups of products with certain common characteristics are grouped together into “Categories”, managing them as if they were independent businesses. In this paper we propose a model to evaluate relative category performance in a retail store considering they might have different business objectives. Our approach is based on Data Envelopment Analysis techniques (DEA) and requires a careful definition of the resources that categories use to achieve their business objectives.We illustrate how to use our approach by applying it to the evaluation of several categories in a South American Supermarket. Empirical results show that, even for very conservative assumptions, the model has a significant discriminatory power identifying 25% of the sample as not operating efficiently. Although efficiency scores might exhibit relatively large dispersion, the set of efficient units is robust to data variations.

Keywords: Category Management, Retail Productivity, Data Envelopment Analysis

Suggested Citation

Goic, Marcel and Bosch, Maximo and Castro, Juan, Detecting Inefficiently Managed Categories in a Retail Store (September 1, 2013). Available at SSRN: https://ssrn.com/abstract=2511444 or http://dx.doi.org/10.2139/ssrn.2511444

Marcel Goic (Contact Author)

University of Chile - Industrial Engineering ( email )

República 701, Santiago
Chile

Maximo Bosch

University of Chile - Engineering Department ( email )

Republica 701 Santiago
Chile

Juan Castro

University of Chile - Engineering Department ( email )

Republica 701 Santiago
Chile

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