Multi-item Forecasting
Multi-Item Forecasting is a retail forecasting methodology that jointly predicts demand for multiple distinct products by leveraging shared patterns and dependencies across items, thereby improving accuracy through cross-series information pooling.
7
Publications
348
Citations
15
Authors
12
Institutions
Publications per year
2017–2026
2
Parents
7
Data Aggregation and Demand Prediction
Maxime C. Cohen, Renyu Zhang, Kevin Jiao · Operations Research · 2022 · 24 citations
1–5 of 7
15
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 15
12
London Business School
London, United Kingdom
2 h-index
4 publications
150 citations

McGill University
Montreal, Canada
1 h-index
1 publications
24 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
24 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
23 citations
Department of Biological Sciences
Moscow, Russia
1 h-index
1 publications
141 citations
University of New Hampshire at Manchester
Manchester, United States
1 h-index
2 publications
282 citations
Indian Institute of Technology Delhi
New Delhi, India
1 h-index
3 publications
183 citations
New York University
New York, United States
1 h-index
1 publications
24 citations
1–8 of 12
2 publications · 75 citations
2
h-index
1 publications · 24 citations
1
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OR · 1 publications · 24 citations
1
h-index
1 publications · 61 citations
1
h-index
1 publications · 141 citations
1
h-index
1–5