Predictive Demand Analytics

Predictive Demand Analytics is a computational method within service demand management that leverages historical data, statistical algorithms, and machine learning techniques to forecast future service demand patterns, distinguishing itself by enabling proactive resource planning and decision-making through quantified predictions of demand fluctuations.

168

Publications

10.1K

Citations

579

Authors

272

Institutions

Publications per year

2017–2026

117

Authors

579

  1. JK
    Jintao Ke

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 143 citations

    3

    h-index

  2. FA
    F.L. Alvarado

    University of Wisconsin–Madison, United States

    2 publications · 351 citations

    2

    h-index

  3. MF
    Murat Fahrioğlu

    Middle East Technical University, Türkiye

    2 publications · 351 citations

    2

    h-index

  4. JY
    Jieping Ye

    Arizona State University, United States

    2 publications · 283 citations

    2

    h-index

  5. JB
    James Bessen

    Boston University, United States

    2 publications · 241 citations

    2

    h-index

1–5 of 579

Venues

  1. IEEE Access

    6 publications · 191 citations

    6

    h-index

  2. 6

    h-index

  3. International Journal of Production Economics

    4 publications · 964 citations

    4

    h-index

  4. International Journal of Forecasting

    3 publications · 493 citations

    3

    h-index

  5. 3

    h-index

1–5