Papers
2
Total Citations
31
H-Index
2
About
Gunjan Soni is a leading researcher in supply chain management, with a particular focus on the transformative role of data-driven and machine learning techniques. Her work addresses the critical need for modern, resilient supply chains that can navigate today’s dynamic and highly competitive global landscape. A key contribution is her pioneering application of machine learning to predict vendor incoterms in the complex global omnichannel pharmaceutical supply chain, a study that has already garnered 28 citations for its practical and timely relevance. Soni also co-authored a comprehensive literature review on data-driven techniques in logistics and supply chain management, which underscores the profound shift from traditional operations to technology-enabled systems. Her research highlights how investing in advanced analytics is essential for managing the sheer complexity of modern supply chains. By bridging the gap between cutting-edge computational methods and real-world logistical challenges, Gunjan Soni is helping to define the future of efficient, responsive, and intelligent supply chain networks.
Research Focus
Key Achievements
Top Papers
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