Inventory-driven Markdown Decisions

Inventory-Driven Markdown Decisions is a markdown optimization strategy that systematically determines pricing reductions based on current inventory levels, distinguished by its primary reliance on stock availability and turnover objectives to trigger and calibrate discounting actions.

24

Publications

1.4K

Citations

54

Authors

41

Institutions

Publications per year

2017–2026

5

Authors

54

  1. VA
    Vı́ctor Aguirregabiria

    University of Toronto, Canada

    2 publications · 259 citations

    2

    h-index

  2. JG
    Jérémie Gallien

    London Business School, United Kingdom

    2 publications · 222 citations

    2

    h-index

  3. FC
    Felipe Caro

    University of California, Los Angeles, United States

    2 publications · 222 citations

    2

    h-index

  4. RN
    Ram Narasimhan

    Michigan State University, United States

    2 publications · 56 citations

    2

    h-index

  5. WC
    Wenming Chung

    Michigan State University, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 54

Venues

  1. European Journal of Operational Research

    4 publications · 140 citations

    4

    h-index

  2. Operations Research

    3 publications · 364 citations

    3

    h-index

  3. SSRN Electronic Journal

    Repository · 2 publications · 24 citations

    2

    h-index

  4. INFORMS Journal on Applied Analytics

    2 publications · 106 citations

    2

    h-index

  5. Journal of Product & Brand Management

    1 publications · 11 citations

    1

    h-index

1–5