Pre-season stocking and pricing decisions for fashion retailers with multiple information updating
Journal
International Journal of Production Economics
Journal Volume
106
Journal Issue
1
Pages
146-170
Date Issued
2007
Author(s)
Abstract
Motivated by the industrial practice, we investigate in this paper the pre-season inventory and pricing decisions for fashion retailers. Before the selling season, a retailer can place orders for a seasonal fashion product from her supplier at two distinct stages via two different delivery modes. Market information from the sales of a pre-seasonal product is collected and used to update the demand forecast of the seasonal product at the succeeding stages by using Bayesian approach. We formulate a dynamic optimization problem and obtain the optimal stocking policy. After the ordered seasonal product has arrived and just before the start of the selling season, the retailer can determine the optimal selling price of the product with respect to the latest demand information, and the amount of product on-hand. We study the pricing policy under different objectives. Sensitivity analysis is carried out and the features of the policies are revealed. Managerial insights are generated. ? 2006 Elsevier B.V. All rights reserved.
Subjects
Bayesian information updating; Dynamic programming; Fashion retailing; Inventory
Other Subjects
Cost benefit analysis; Decision making; Dynamic programming; Product development; Retail stores; Bayesian information updating; Fashion retailing; Industrial practices; Optimal stocking policy; Inventory control
Type
journal article