Delivery Demand Forecasting

Delivery Demand Forecasting is a computational method that specifically predicts the volume and timing of future delivery requests by analyzing historical patterns, external factors, and customer behavior within the domain of logistics and supply chain operations.

26

Publications

1.3K

Citations

113

Authors

59

Institutions

Publications per year

2017–2026

24

Authors

113

  1. AC
    Antonio Comi

    University of Rome Tor Vergata, Italy

    2 publications · 170 citations

    2

    h-index

  2. SS
    Stefan Spinler

    WHU – Otto Beisheim School of Management, Germany

    2 publications · 64 citations

    2

    h-index

  3. PK
    Péter Kelle

    Louisiana State University, United States

    1 publications · 331 citations

    1

    h-index

  4. GF
    Gianfranco Fancello

    University of Cagliari, Italy

    1 publications · 51 citations

    1

    h-index

  5. NM
    Nikunja Mohan Modak

    University of Kalyani, India

    1 publications · 331 citations

    1

    h-index

1–5 of 113

Venues

  1. 3

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  2. Research in Transportation Economics

    2 publications · 203 citations

    2

    h-index

  3. Sustainability

    2 publications · 72 citations

    2

    h-index

  4. Information Systems Management

    1 publications · 15 citations

    1

    h-index

  5. 1

    h-index

1–5