Retailing and Pricing Analytics. 3 credits

Catalog description

This course teaches students to arrive at strategic retailing and pricing decisions using a data-driven approach. The course covers key retailing decisions such as loyalty program design and execution, market basket analysis, store location and trade area analysis, forecasting, and merchandising decisions along with foundational aspects of pricing analytics such as how a firm sets and adjusts pricing and coordinates with different internal and external constraints to maximize its profitability sustainably. The course also aims to familiarize students with the key concepts and applications of quantitative models of demand estimations and consumer responses to pricing decisions. It further covers the various cutting-edge pricing tactics and strategies adopted by marketing managers. Additionally, it gives students an opportunity to work with different data sets to make pricing decisions in simulated environments.Offered by Marketing. May not be repeated for credit.