Mohd. Asif Gandhi
Papers
1
Total Citations
33
H-Index
1
About
Mohd. Asif Gandhi is a researcher at the forefront of integrating artificial intelligence with retail analytics and ergonomic system design. His work primarily focuses on developing intelligent, data-driven solutions for modern convenience stores and automated environments. Gandhi’s most significant contribution is his novel application of a Fuzzy Pruning Least Squares Support Vector Machine (LS-SVM) approach for store sales forecasting, a method that addresses the complex, nonlinear challenges of predicting product demand in an era of rapidly expanding retail variety. This key paper has already garnered 33 citations, highlighting its immediate impact on the field. Beyond sales prediction, Gandhi’s research explores the broader landscape of computer-aided ergonomics, applying intelligent algorithms to optimize interactions between humans and systems in contexts ranging from robotics to mobile technology. His work is pivotal in helping convenience stores navigate a new competitive landscape, offering a sophisticated, AI-powered lens through which to understand and enhance operational efficiency and customer experience.
Research Focus
Key Achievements
Top Papers
- 1