Reengineering Logistics and Fleet Management: Integration of GPS, AI, and Predictive Maintenance

Inefficiencies in logistics and fleet management have continued to manifest themselves in the transport industry, leading to increased costs and lower levels of reliability. This study investigates one such reengineering initiative that integrates GPS tracking for monitoring of vehicle fleets in real-time, route optimization by utilizing artificial intelligence, and predictive maintenance. These technologies are aimed at improving delivery efficiency while minimising fuel consumption and maximising operational reliability. The proposed methodology focuses on process improvements that have believed to have a large operational impact while leveraging literature to stress the relevance of Transportation 4.0 technologies. It was revealed that these initiatives might be able to reduce fuel consumption by about 15%, vehicle downtime by around 20%, and increase delivery efficiency by roughly 25%.