Retail pricing decisions and product category competitive structure

• Published in: Decision Support Systems Vol. 49; no. 1; pp. 110 - 119
• Main Authors: González-Benito, Óscar, Martínez-Ruiz, María Pilar, Mollá-Descals, Alejandro
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.04.2010; Elsevier; Elsevier Sequoia S.A
• Subjects: Applications; Applied sciences; Asymmetry; Categories; Category management; Competition; Competitive structure; Decision making; Decision making models; Decision theory. Utility theory; Decisions; Demand; Demand forecasting; Exact sciences and technology; Forecasting techniques; Insurance, economics, finance; Inventory control, production control. Distribution; Market share models; Marketing; Mathematical models; Mathematics; Operational research and scientific management; Operational research. Management science; Optimization; Planning. Forecasting; Prices; Pricing; Pricing policies; Probability and statistics; Retail pricing decision model; Retail stores; Retailing; Sciences and techniques of general use; Statistics; Store-level scanner data; Studies; Competitive structure; Retail pricing decision model; Demand forecasting; Store-level scanner data; Category management; Market share models; Costs; Estimate; Profitability; Competitiveness; Trademark; Modeling; Optimal decision; Economic market; Pricing; Demand function; Inventory control; Decision support system; Decision making; Retail marketing; Empirical model; Selling price; Product structure; Asymmetry; Supply demand balance; Retailers; Tariffication

This study addresses the use of demand forecasting techniques by retailers to support their decision making. Specifically, the authors propose a pricing decision support model for retailers to estimate optimal prices, whose output depends on the configuration of a supporting measurement model. The m...