Merchandise Analytics

Merchandise Analytics is a systematic analytical framework that employs data-driven methods to optimize product assortment, pricing, and inventory decisions in digital retail environments by leveraging consumer behavior and sales performance data.

46

Publications

2.6K

Citations

111

Authors

86

Institutions

Publications per year

2017–2026

29

Authors

111

  1. RB
    Ron Berman

    University of Pennsylvania, United States

    2 publications · 118 citations

    2

    h-index

  2. AI
    Ayelet Israeli

    Harvard University, United States

    2 publications · 118 citations

    2

    h-index

  3. FM
    Fumikazu Morimura

    Hokkaido University, Japan

    1 publications · 53 citations

    1

    h-index

  4. RE
    Riyad Eid

    United Arab Emirates University, United Arab Emirates

    1 publications · 86 citations

    1

    h-index

  5. SF
    Stanley F. Stasch

    Loyola University Chicago, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 111

Venues

  1. 3

    h-index

  2. Journal of Retailing and Consumer Services

    3 publications · 191 citations

    3

    h-index

  3. Journal of Retailing

    3 publications · 551 citations

    3

    h-index

  4. Marketing Science

    2 publications · 133 citations

    2

    h-index

  5. Production and Operations Management

    POMS · 2 publications · 104 citations

    2

    h-index

1–5