Dynamic Assortment Planning

Dynamic Assortment Planning is a retail optimization framework that systematically adjusts product offerings across channels over time in response to demand signals, inventory levels, and competitive dynamics, distinguishing itself from static models by its adaptive and data-driven selection processes.

20

Publications

1.2K

Citations

32

Authors

23

Institutions

Publications per year

2017–2026

8

Authors

32

  1. DS
    Danny Segev

    Tel Aviv University, Israel

    5 publications · 230 citations

    5

    h-index

  2. XC
    Xi Chen

    New York University, United States

    4 publications · 86 citations

    4

    h-index

  3. AA
    Ali Aouad

    London Business School, United Kingdom

    4 publications · 116 citations

    4

    h-index

  4. RL
    Retsef Levi

    Massachusetts Institute of Technology, United States

    4 publications · 216 citations

    4

    h-index

  5. YW
    Yining Wang

    Carnegie Mellon University, United States

    3 publications · 64 citations

    3

    h-index

1–5 of 32

Venues

  1. Management Science

    4 publications · 490 citations

    4

    h-index

  2. Operations Research

    3 publications · 180 citations

    3

    h-index

  3. Marketing Science

    2 publications · 100 citations

    2

    h-index

  4. Manufacturing & Service Operations Management

    2 publications · 250 citations

    2

    h-index

  5. Mathematics of Operations Research

    2 publications · 55 citations

    2

    h-index

1–5