Fuel station operations rely heavily on Automatic Tank Gauge (ATG) systems to monitor underground fuel storage tanks and fuel dispensers to track fuel transactions at the point of sale. However, discrepancies often arise between ATG readings and pump dispenser logs due to factors such as sensor drift, evaporation losses, fuel theft, miscalibration, and pipeline leaks. Traditional reconciliation methods depend on manual verification and batch-based reconciliation, which are time consuming and prone to errors. These inefficiencies lead to financial losses, operational challenges, and regulatory compliance issues for fuel station operators.This paper proposes a software driven, real time reconciliation system that integrates ATG and dispenser data using streaming data pipelines and cloud-based analytics. The proposed system ensures continuous synchronization between ATG and dispenser readings, detects discrepancies instantly, and automates anomaly alerts and reconciliation reporting. The system employs software driven validation mechanisms to enhance fuel inventory accuracy and prevent financial losses. By automating fuel reconciliation, this system enhances operational transparency, reduces human intervention, and improves regulatory compliance. The study also evaluates the technical challenges in real time fuel reconciliation, the impact of software driven solutions, and the scalability of automated reconciliation systems.