Track: Logistics

Abstract

Mini-Grocery Stores are retail formats located closest to consumers' homes, where consumers’ day-to-day needs are quickly satisfied. During the last 3 years, discount stores in Barranquilla (Colombia) have increased their market share, satisfying their requirements in similar conditions to mini-grocery stores. Nowadays, these stores’ market share has fallen to 48%, which is still high but is further from its historical 50%. Previous studies have shown the store as a social phenomenon from the marketing point of view. However, before the incursion of hard discount stores, it is important to establish characteristics and understand their functional structures. The goal of this research is to build a decision model that allows us to identify the most representative channel variables and in turn to classify them according to those variables’ performance. A survey was applied to a sample size of 341 stores. Predictive analytics will be used to extract information, and data mining techniques will be applied to detect unexpected patterns. This study will be able to define a logistical and operational intervention model that allows it to increase the store’s performance and establish elements that lead to an increase in its competitiveness in the retail sector. This research is important for mini-grocery stores, as to face competition, they must be prepared to improve their competitive performance in several areas. Aligned to their organizational capabilities, which are defined according to the development context of each store based on a set of variables that must be identified and analyzed.