Divya Choubey
Papers
1
Total Citations
33
H-Index
1
About
Divya Choubey is a leading researcher at the intersection of artificial intelligence and supply chain optimization, with a primary focus on AI-enhanced inventory management and demand forecasting. Her most-cited work, “AI-enhanced inventory and demand forecasting” (2024, 33 citations), introduces transformative methodologies that leverage machine learning to move beyond traditional, static inventory models. Choubey’s major contribution lies in demonstrating how AI can dynamically analyze real-time data streams—from sales patterns to market trends—to predict customer demand with unprecedented accuracy, thereby reducing waste and optimizing stock levels. This research has immediate practical implications for retail, manufacturing, and logistics sectors, offering a blueprint for resilient, data-driven supply chains. By bridging the gap between theoretical AI advancements and operational business needs, Choubey has established herself as a pivotal figure in applied AI. Her work not only advances academic understanding but also provides actionable frameworks for industry practitioners, marking her as a key innovator in the digital transformation of inventory management.
Research Focus
Key Achievements
Top Papers
- 1