Efficient management of public transport fleets, such as trolleybuses, is crucial for urban mobility but is often compromised by outdated systems that cause delays, errors, and increased vehicle downtime. This paper introduces an innovative Telegram bot system designed to revolutionize fleet management by automating the monitoring, reporting, and maintenance processes. The system enables real-time communication among all stakeholders—drivers, mechanics, dispatchers, and management—through a centralized, user-friendly platform accessible via the Telegram app. Key advantages include reduced vehicle downtime, improved data accuracy, and enhanced operational efficiency, achieved without the need for additional software installations. Developed using the aiogram library and a PostgreSQL database, the system ensures scalability and reliability. Currently in test operation, it shows promising results and lays the groundwork for future enhancements like predictive maintenance through machine learning. This cost-effective and accessible solution not only addresses the immediate challenges of trolleybus fleet management but also has the potential to transform public transport operations more broadly.