Gallien, J and Caro, F (2012) Clearance pricing optimization for a fast-fashion retailer. Operations Research, 60 (6). pp. 1404-1422. ISSN 0030-364X
Abstract
Fast-fashion retailers such as Zara offer continuously changing assortments and use minimal in-season promotions. Their clearance pricing problem is thus challenging because it involves comparatively more different articles of unsold inventory with less historical price data points. Until 2007, Zara used a manual and informal decision-making process for determining price markdowns. In collaboration with their pricing team, we since designed and implemented an alternative process relying on a formal forecasting model feeding a price optimization model. As part of a controlled field experiment conducted in all Belgian and Irish stores during the 2008 fall-winter season, this new process increased clearance revenues by approximately 6%. Zara is currently using this process worldwide for its markdown decisions during clearance sales.
More Details
Item Type: | Article |
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Subject Areas: | Management Science and Operations |
Date Deposited: | 17 May 2016 12:24 |
Last Modified: | 03 Dec 2024 03:10 |
URI: | https://lbsresearch.london.edu/id/eprint/472 |