Store-Level Markdown Optimization is a retail analytics framework that specifically determines optimal price reduction strategies at the individual store level by integrating localized demand forecasts, inventory positions, and competitive dynamics to maximize clearance efficiency and gross margin recovery.
7
Publications
378
Citations
20
Authors
7
Institutions
Publications per year
2017–2026
2
Parents
Publications
7
1–5 of 7
Authors
20
- MK
2
h-index
- SP
1
h-index
- NL
1
h-index
- MC
1
h-index
- NC
1
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1–5 of 20
Institutions
7
Santa Clara University
Santa Clara, United States
2 h-index
3 publications
248 citations
Walmart (United States)
Bentonville, United States
2 h-index
10 publications
123 citations
Saint Joseph's University
Philadelphia, United States
1 h-index
1 publications
15 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
24 citations
California State University, Long Beach
Long Beach, United States
1 h-index
1 publications
15 citations
Blue Yonder (United States)
Scottsdale, United States
1 h-index
1 publications
15 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
15 citations
1–7 of 7
Venues
- INFORMS Journal on Applied Analytics
2 publications · 106 citations
2
h-index
- Manufacturing & Service Operations Management
2 publications · 51 citations
2
h-index
- INFORMS Journal on Applied Analytics
IJAA · 1 publications · 12 citations
1
h-index
- IIE Transactions
1 publications · 15 citations
1
h-index
- Journal of Retailing
1 publications · 194 citations
1
h-index
1–5