Resource title

The Retailer needs to be paid for sophisticated decisions: modelling promotional interactions between consumers, retailers and brand managers

Resource image

image for OpenScout resource :: The Retailer needs to be paid for sophisticated decisions: modelling promotional interactions between consumers, retailers and brand managers

Resource description

Competition among brands that sell through a supermarket chain is a repeated moderated oligopoly, where the retailer moderates brand competition by choosing the store promotions that consumers see each week. The interactions between consumers, retailers and brand managers are complex, with each having different goals and constraints. Here, we use regression and Genetic Algorithm techniques to model these interactions. Our goal is to address an important question in the literature: specifically, whether the retailer gains positive returns through more sophisticated moderation. In doing so, we draw on work in economics showing that unsophisticated or Zero-Intelligence (ZI) agents can often replicate real-world outcomes. Hence, we posit and test three levels of retailer sophistication ZI, naïve and sophisticated bringing a novel perspective to this important topic. We find that, although the behaviour of brand managers is more realistic with the sophisticated retailer, on average the category volumes are lower than with either the naïve or ZI retailer. The dominant brand, however, does benefit with the sophisticated retailer by preserving its profits and reducing those of its competitors. We speculate that the retailer either receives adequate side-payments from the dominant brand or there are sufficient spin-off benefits in other categories to compensate the retailer for the loss of volume in the focal category.

Resource author

Resource publisher

Resource publish date

Resource language

en

Resource content type

application/pdf

Resource resource URL

http://flora.insead.edu/fichiersti_wp/inseadwp2008/2008-65.pdf

Resource license

Copyright INSEAD. All rights reserved