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

Authors

124

  1. TC
    Tsan‐Ming Choi

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 174 citations

    3

    h-index

  2. BS
    Bin Shen

    Donghua University, China

    2 publications · 163 citations

    2

    h-index

  3. YW
    Yulan Wang

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 163 citations

    2

    h-index

  4. AD
    Avinash Dixit

    Princeton University, United States

    1 publications · 100 citations

    1

    h-index

  5. MN
    Martin Natter

    Goethe University Frankfurt, Germany

    1 publications · 16 citations

    1

    h-index

1–5 of 124

Venues

  1. International Journal of Production Economics

    3 publications · 193 citations

    3

    h-index

  2. Management Science

    3 publications · 891 citations

    3

    h-index

  3. Omega

    2 publications · 47 citations

    2

    h-index

  4. INFORMS Journal on Applied Analytics

    IJAA · 2 publications · 36 citations

    2

    h-index

  5. European Journal of Operational Research

    2 publications · 161 citations

    2

    h-index

1–5