Data-driven Demand Forecasting
Data-Driven Demand Forecasting is a demand forecasting approach that belongs to the class of forecasting methodologies and is distinguished by its reliance on empirical data and statistical or machine learning models—rather than theoretical assumptions or qualitative judgment—to identify patterns, trends, and relationships for predicting future demand.
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12.6K
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803
Authors
391
Institutions
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2017–2026
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Parents
240
Machine Learning Methods for Demand Estimation
Patrick Bajari, Denis Nekipelov, Stephen Ryan et al. · American Economic Review · 2015 · 218 citations
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391
Tongji University
Shanghai, China
5 h-index
9 publications
180 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
7 publications
237 citations

National Taiwan University
Taipei, Taiwan
3 h-index
9 publications
958 citations

Jeju National University
Jeju City, South Korea
3 h-index
7 publications
188 citations
Tsinghua University
Beijing, China
3 h-index
8 publications
211 citations

Beihang University
Beijing, China
3 h-index
3 publications
135 citations
National University of Singapore
Singapore, Singapore
3 h-index
5 publications
372 citations

Chongqing University
Chongqing, China
3 h-index
9 publications
310 citations
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7 publications · 210 citations
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6 publications · 207 citations
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5 publications · 598 citations
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5 publications · 587 citations
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5 publications · 209 citations
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