Merchandising Analytics

Merchandising Analytics is a subfield of Retail Analytics that systematically applies data analysis and quantitative methods to optimize product assortment, pricing, promotion, and placement decisions in order to enhance sales performance and customer satisfaction at the venue or course level.

83

Publications

6.4K

Citations

218

Authors

128

Institutions

Publications per year

2017–2026

44

Authors

218

  1. PK
    Praveen K. Kopalle

    Dartmouth College, United States

    3 publications · 847 citations

    3

    h-index

  2. LY
    Lei Yang

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 191 citations

    3

    h-index

  3. YY
    Yong Yu

    Kagoshima University, Japan

    2 publications · 527 citations

    2

    h-index

  4. YL
    Yunhao Liu

    Tsinghua University, China

    2 publications · 154 citations

    2

    h-index

  5. XZ
    Xiaolong Zheng

    Beijing University of Posts and Telecommunications, China

    2 publications · 154 citations

    2

    h-index

1–5 of 218

Venues

  1. Journal of Retailing

    8 publications · 2.5K citations

    8

    h-index

  2. Journal of Retailing and Consumer Services

    6 publications · 377 citations

    6

    h-index

  3. Linguistic and Philosophical Investigations

    5 publications · 111 citations

    5

    h-index

  4. Journal of Marketing

    JM · 4 publications · 317 citations

    4

    h-index

  5. INFORMS Journal on Applied Analytics

    2 publications · 25 citations

    2

    h-index

1–5