How are Demand and Returns Related ? Theory and Empirical Evidence February 2006

The relationship between demand and customer returns represents an important input to inventory planning models. While poor estimates of this relationship can dramatically increase inventory management costs (de Brito and van der Laan, 2002), there is surprisingly little research on the topic. In this paper we investigate the relationship between demand and returns by comparing how customers’ returns behavior for apparel items varies both across items and within an item. To guide our empirical analysis, we develop an economic model of customer purchase and returns behavior that yields testable predictions. We reject the model that customer return rates are independent of price paid. Instead, we find support for the perceived value hypothesis, which predicts that customer return rates increase with the price paid. This finding has important implications for the coordination of marketing and operations decisions. Our analysis also yields a number of additional empirical insights into customer returns behavior that are expected to generalize to other contexts.

[1]  Elie Ofek,et al.  Manufacturer Benefits from Information Integration with Retail Customers , 2004, Manag. Sci..

[2]  Marilyn T. Lucas,et al.  Doing the Right Thing or Doing the Thing Right: Allocating Resources Between Marketing Research and Manufacturing , 2004, Manag. Sci..

[3]  Kannan Srinivasan,et al.  Managing Capacity Through Reward Programs , 2004, Manag. Sci..

[4]  Christopher S. Tang,et al.  Introduction to the Special Issue on Marketing and Operations Management Interfaces and Coordination , 2004, Manag. Sci..

[5]  Luk N. Van Wassenhove,et al.  Closed - Loop Supply Chain Models with Product Remanufacturing , 2004, Manag. Sci..

[6]  Marisa de Brito,et al.  Managing Product Returns: The Role of Forecasting , 2004 .

[7]  Marisa P. de Brito,et al.  Inventory control with product returns: the impact of (mis)information , 2002 .

[8]  Rommert Dekker,et al.  Controlling inventories with stochastic item returns: A basic model , 2002, Eur. J. Oper. Res..

[9]  Ronald S. Tibben-Lembke,et al.  AN EXAMINATION OF REVERSE LOGISTICS PRACTICES , 2001 .

[10]  Canan Savaskan,et al.  Channel Choice and Coordination in a Remanufacturing Environment , 2001 .

[11]  M. Fleischmann,et al.  Quantitative models for reverse logistics , 2001 .

[12]  Gp Gudrun Kiesmüller,et al.  An inventory model with dependent product demands and returns , 2001 .

[13]  Eric T. Anderson,et al.  Are Sale Signs Less Effective When More Products Have Them , 2001 .

[14]  V. Guide,et al.  Production planning and control for remanufacturing: industry practice and research needs , 2000 .

[15]  Michael R. Hagerty,et al.  Return Policies and the Optimal Level of "Hassle" , 1998 .

[16]  J. D. Hess,et al.  Modeling merchandise returns in direct marketing , 1997 .

[17]  Wujin Chu,et al.  Controlling product returns in direct marketing , 1996 .

[18]  U. Karmarkar Integrative Research in Marketing and Operations Management , 1996 .

[19]  J. Eliashberg,et al.  Marketing-production decisions in an industrial channel of distribution , 1987 .