The V.E.L.O.G.I.T.Y. system (Vehicular Entry/Exit Log Optimization through Geospatial Intelligence & Temporal Yield) uses machine learning and geofencing to solve GNSS data inaccuracy in vehicle tracking. This research highlights its ability to optimize cycle times and improve geospatial data accuracy in fleet management. The system significantly enhances data reliability, offering superior precision in vehicle entry and exit logs compared to traditional methods. V.E.L.O.G.I.T.Y. opens new possibilities in geoinformatics, providing valuable, trustworthy data for improved logistics and operational efficiency.