Yogesh Kumar Sharma
Papers
1
Total Citations
4
H-Index
1
About
Yogesh Kumar Sharma is a forward-thinking researcher at the intersection of artificial intelligence, the Internet of Things (AIoT), and digital commerce. His work centers on reimagining user experience in automated retail environments, particularly through AIoT-based e-commerce systems designed to address emerging workforce shortages. His most-cited paper, “AIoT-based e-commerce” (2022), with 4 citations, explores how unmanned convenience stores can leverage intelligent sensing and connectivity to enhance customer engagement while reducing reliance on human labor. Sharma’s contributions are notable for their practical focus on real-world deployment challenges, bridging the gap between cutting-edge AIoT infrastructure and consumer behavior. He is recognized for identifying critical usability factors that determine the success of automated retail, positioning his work as essential reading for researchers and practitioners in smart retail and human-computer interaction. With a clear emphasis on scalable, user-centered innovation, Sharma is helping shape the next generation of autonomous shopping experiences, making his research increasingly relevant as industries worldwide pivot toward automation and efficiency.
Research Focus
Key Achievements
Top Papers
- 1AIoT-based e-commerce4 citations · 2022