Retail Demand Analytics

Retail Demand Analytics is a methodological framework within demand sensing that specifically enables the systematic measurement, prediction, and interpretation of consumer purchasing behaviors in food retail systems through the integration and analysis of granular sales, inventory, and external contextual data.

36

Publications

1.5K

Citations

91

Authors

59

Institutions

Publications per year

2017–2026

19

Authors

91

  1. KW
    Kevin Williams

    Yale University, United States

    3 publications · 129 citations

    3

    h-index

  2. TQ
    Thomas Quan

    Yale University, United States

    3 publications · 129 citations

    3

    h-index

  3. JH
    James Harrigan

    University of Virginia, United States

    2 publications · 71 citations

    2

    h-index

  4. AN
    Andy Newing

    University of Leeds, United Kingdom

    2 publications · 44 citations

    2

    h-index

  5. ML
    Marshall L. Fisher

    University of Pennsylvania, United States

    2 publications · 160 citations

    2

    h-index

1–5 of 91

Venues

  1. Agribusiness

    3 publications · 67 citations

    3

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 88 citations

    3

    h-index

  3. European Journal of Operational Research

    2 publications · 192 citations

    2

    h-index

  4. International Journal of Forecasting

    2 publications · 215 citations

    2

    h-index

  5. Production and Operations Management

    POMS · 2 publications · 160 citations

    2

    h-index

1–5