BUS TRANSPORTATION MANAGEMENT SYSTEM: IMPROVING TRANSPORTATION ACCURACY USING AI WITH AUTOMATION OF GENERAL LEDGER.

Abstract

Our capstone project introduces the Bus Transportation Management System, a cutting-edge solution designed to transform financial management in the bus transportation industry. By seamlessly integrating artificial intelligence (AI) and automation technologies, the system enhances transaction accuracy, automates comprehensive record-keeping, and delivers real-time data analytics to support strategic decision-making. This innovative platform aims to significantly reduce operational costs, eliminate human errors, and boost financial transparency, ultimately driving higher efficiency, profitability, and sustainable growth for transportation businesses. The development process embraced an agile, sprint-based methodology to enable rapid iterations and continuous refinement. Each sprint focused on targeted deliverables, including the integration of automated reporting and advanced anomaly detection tools that meticulously analyze financial transactions to uncover inconsistencies and enhance data integrity. By automating critical ledger functions—such as transaction recording, adjustment, and reconciliation—the system leverages AI-powered validation to significantly reduce errors and discrepancies. Additionally, it seamlessly integrates with existing transportation platforms, providing a cohesive and streamlined financial tracking framework that enhances operational efficiency. The deployment of the AI-powered Bus Transportation Management System has profoundly elevated financial accuracy and operational efficiency across transportation firms. Leveraging sophisticated machine learning algorithms, the system continuously monitors and detects anomalies within transactions, safeguarding the integrity and consistency of financial records. By automating routine and complex financial tasks, it significantly reduces manual intervention, streamlines workflows, and mitigates human error. Furthermore, AI-driven predictive analytics equip decision-makers with actionable financial forecasts, enabling proactive identification of growth opportunities and strategic planning. Enhanced interdepartmental collaboration is facilitated through secure, transparent workflows, minimizing risks related to unauthorized access and fraud. Collectively, these capabilities drive substantial cost reductions and strengthen financial governance, positioning transportation companies for sustainable success. AI and automation have markedly improved the precision and efficiency of financial transactions within the system. By automating ledger management and transaction verification, the platform minimizes errors and elevates operational productivity, empowering operators to focus on strategic financial insights and data-driven decision-making. However, challenges such as seamless data integration, initial deployment costs, and evolving cybersecurity threats must be proactively addressed to maximize system effectiveness. Future enhancements are expected to include the deployment of advanced AI models, increased system flexibility, and fortified security protocols to counter emerging risks. Overall, this system establishes a resilient framework that promotes sustainable financial management and growth in the transportation sector.