Using data mining techniques for predictive modelling in the retail context

Based on the observance that rivalry among retailers has increased sharply in recent decades, with a growing number of stores and consequently more options for consumers, the aim of this study was to discover what attributes valued by consumers in their choices on where to shop. The specific focus is on the causal relationship between the attributes offered by grocery stores with loyalty towards these stores. The study is based on statistical data mining approach of predictive model building by regressing factor scores identified by factor analysis. The results identified positive and statistically significant relations between the attributes offered by the retailers and their influence on store loyalty.