Supply Path Optimization
Supply Path Optimization is a programmatic advertising framework that systematically reduces the number of intermediary steps between advertisers and publishers to enhance cost efficiency, transparency, and bid decisioning accuracy within real-time bidding ecosystems.
6
Publications
107
Citations
33
Authors
11
Institutions
Publications per year
2017–2026
5
Variants
Spo
Parents
6
Weitiao Wu, Peng Li, Ronghui Liu et al. · Transportation Research Part E Logistics and Transportation Review · 2020 · 32 citations · Full text
Management, Industrial Engineering, Transportation Planning +16
1–5 of 6
33
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 33
11
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
1 h-index
4 publications
60 citations

University of Leeds
Leeds, United Kingdom
1 h-index
1 publications
32 citations
Dalian University of Technology
Dalian, China
1 h-index
1 publications
32 citations
China University of Geosciences
Wuhan, China
1 h-index
7 publications
105 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
15 citations
IBM Research - Tokyo
Tokyo, Japan
1 h-index
1 publications
15 citations
McKesson (United States)
San Francisco, United States
1 h-index
2 publications
30 citations
Zhejiang A & F University
Lin’an Shi, China
1 h-index
7 publications
105 citations
1–8 of 11
1 publications · 12 citations
1
h-index
1 publications · 32 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 15 citations
1
h-index
1–5