Tackling the Retailer Decision Maze: Which Brands to Discount, How Much, When and Why?
AbstractWe propose a model that seeks the optimal timing and depth of retail discounts with the optimal timing and quantity of the retailer's order over multiple brands and time periods. The model is based on an integration of consumer decisions in purchase incidence, brand choice and quantity with the dynamics of household and retail inventory. The major contribution of the model is that it shows how the optimum depth and timing of discount varies with key demand characteristics such as consumer stockpiling, loyalty, response to the marketing mix, and segmentation. In addition, the optima also vary with key supply characteristics such as retail margins, depth and frequency of manufacturer deals, retail inventory, and retagging costs. The most valuable contribution of the model is that it can provide an optimal discount strategy for multiple brands over multiple time periods. The optimization model runs on a user-friendly personal computer program. An application based on UPC scanner data illustrates the model's uses. Sensitivity analyses of the optimization model under alternative scenarios reveal novel insights as to how optimal discounts vary as a function of the key demand and supply characteristics.
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Bibliographic InfoArticle provided by INFORMS in its journal Marketing Science.
Volume (Year): 14 (1995)
Issue (Month): 3 ()
optimal promotions; retailing; consumer response; discount timing; mathematical programming;
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- Suzuki, Yoshinori & Pautsch, Gregory R., 2005. "A vehicle replacement policy for motor carriers in an unsteady economy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 463-480, June.
- Sourav Ray & Haipeng (Allan) Chen & Mark Bergen & Daniel Levy, 2005.
"Asymmetric Wholesale Pricing: Theory and Evidence,"
0513, Department of Economics, Emory University (Atlanta).
- Sourav Ray & Haipeng Chen & Mark Bergen & Daniel Levy, 2005. "Asymmetric Wholesale Pricing: Theory and Evidence," Macroeconomics 0503021, EconWPA.
- Sourav Ray & Haipeng (Allan) Chen & Mark Bergen & Daniel Levy, 2005. "Asymmetric Wholesale Pricing: Theory and Evidence," Working Papers 2005-02, Department of Economics, Bar-Ilan University.
- Foekens, Eijte W. & S.H. Leeflang, Peter & Wittink, Dick R., 1998. "Varying parameter models to accommodate dynamic promotion effects," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 249-268, November.
- Kim, Namwoon & Srivastava, Rajendra K. & Han, Jin K., 2001. "Consumer decision-making in a multi-generational choice set context," Journal of Business Research, Elsevier, vol. 53(3), pages 123-136, September.
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