International Conference on Big Data and Analytics in Logistics
(ICBDAL-27)

This track focuses on the application of big data analytics in logistics, exploring methodologies and tools that enhance decision-making processes. Participants will discuss case studies and frameworks that demonstrate the impact of data-driven insights on logistics operations.

This session examines the role of predictive modeling in optimizing supply chain performance. Researchers will present innovative approaches to forecasting demand and managing inventory through advanced analytical techniques.

This track delves into the integration of artificial intelligence in transportation management systems. Discussions will cover AI-driven solutions for route optimization, fleet management, and enhancing operational efficiency.

This session highlights the advancements in smart warehousing technologies and their implications for inventory management. Participants will explore automation, robotics, and IoT applications that improve warehouse efficiency and accuracy.

This track focuses on the importance of real-time tracking technologies in enhancing visibility across the supply chain. Presentations will cover the impact of GPS, RFID, and IoT on logistics operations and customer satisfaction.

This session explores the latest emerging technologies that are reshaping the logistics landscape. Topics will include blockchain, drones, and autonomous vehicles, and their potential to revolutionize logistics processes.