Markdown Optimization
Markdown Optimization is a retail analytics strategy that systematically determines the optimal timing, depth, and duration of price reductions to maximize revenue or profit, distinguishing itself from broader pricing strategies by focusing specifically on post-launch price adjustments for deteriorating or excess inventory.
42
Publications
2.5K
Citations
124
Authors
65
Institutions
Publications per year
2017–2026
11
Parents
Children
Assortment Markdown StrategyCategory-level Markdown OptimizationClearance Pricing OptimizationCompetitive Markdown ResponseDynamic Markdown PricingEnd-of-season Clearance StrategyInventory-driven Markdown DecisionsMarkdown Cannibalization EffectsMarkdown Frequency OptimizationMarkdown Policy Evaluation
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Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
8 publications
631 citations
Walmart (United States)
Bentonville, United States
2 h-index
10 publications
123 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
215 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
1 publications
76 citations
Columbia University
New York, United States
2 h-index
5 publications
173 citations
University of Chile
Santiago, Chile
2 h-index
3 publications
240 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
232 citations
The University of Texas at Arlington
Arlington, United States
1 h-index
1 publications
144 citations
1–8 of 65
3 publications · 193 citations
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3 publications · 891 citations
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2 publications · 47 citations
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IJAA · 2 publications · 36 citations
2
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2 publications · 161 citations
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1–5