Merchandise Analytics
Merchandise Analytics is a systematic analytical framework that employs data-driven methods to optimize product assortment, pricing, and inventory decisions in digital retail environments by leveraging consumer behavior and sales performance data.
46
Publications
2.6K
Citations
111
Authors
86
Institutions
Publications per year
2017–2026
29
Parents
46
The Role of Big Data and Predictive Analytics in Retailing
Eric T. Bradlow, Manish Gangwar, Praveen K. Kopalle et al. · Journal of Retailing · 2017 · 488 citations
Applications of data mining in retail business
Sani Ahmed · 2004 · 97 citations
1–5 of 46
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86
University of Pennsylvania
Philadelphia, United States
4 h-index
4 publications
690 citations
IBM (United States)
Armonk, United States
2 h-index
10 publications
410 citations
Dartmouth College
Hanover, United States
2 h-index
2 publications
538 citations
Applied Science Private University
Amman, Jordan
2 h-index
5 publications
139 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
121 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
4 publications
110 citations

University of Sadat City
Sadat, Egypt
1 h-index
1 publications
86 citations
Morgan Stanley (United States)
New York, United States
1 h-index
1 publications
84 citations
1–8 of 86
3 publications · 127 citations
3
h-index
3 publications · 191 citations
3
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3 publications · 551 citations
3
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2 publications · 133 citations
2
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POMS · 2 publications · 104 citations
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