TRANSPORTATION NETWORK VEHICLE SERVICES: CORE 2 "STOREROOM MANAGEMENT, PAYMENT, BOOKING, GPS TRACKING, TRANSPORT ANALYTICS WITH "AI SOLUTIONS FOR OPTIMIZING ROUTES AND REDUCING COSTS IN TNVS CORE 2"

Abstract

The rapid rise of TNVS has improved urban mobility but introduced key operational challenges. To address these, an integrated solution is proposed to enhance store room management, streamline booking and payment systems, and leverage transport analytics. Efficient inventory tracking supports vehicle maintenance, while user-friendly booking features and secure payment systems ensure seamless customer transactions. Analytics and GPS tracking enable route optimization and performance evaluation, promoting operational transparency and improved service delivery. The development of the Transportation Network Vehicle Service (TNVS) system employs the Agile Scrum methodology due to its flexibility and adaptability. This framework supports iterative development, fosters continuous communication, and enables quick responses to changing requirements, making it well-suited for the fast-paced and dynamic environment of TNVS operations. The integration of key components such as storeroom management, payment systems, booking, GPS tracking, transport analytics, and AI in TNVS Core 2 has significantly improved efficiency, reduced costs, and enhanced customer satisfaction. These results demonstrate the effectiveness of leveraging technology in the TNVS sector. To maintain a competitive advantage, the study recommends continuous system monitoring, regular updates informed by user feedback, and further exploration of AI and data analytics innovations. TNVS Core 2 integrates storeroom management, payment systems, booking, GPS tracking, transport analytics, and AI to significantly enhance operational functions in transportation services. While challenges remain, the system offers strong potential for increased efficiency, reduced costs, and improved customer satisfaction.