Case Studies

AI for Aviation Care Prediction

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The Auxiliary Power Unit Tracking and Monitoring platform is a patented, enterprise-grade aviation software system designed to track, monitor, and manage aircraft auxiliary power unit usage to significantly reduce fuel waste, control operational costs, and lower carbon emissions. By capturing detailed ground-run metrics that typical onboard flight telemetry and communications systems routinely miss, this technology allows airline operators to monitor fuel consumption and carbon footprint levels during gate operations. The system incorporates a multi-stage artificial intelligence workflow that guides operations team members through logbook ingestion, optical character recognition digitization, and quality assurance validation. This collaborative framework ensures that internal maintenance engineering actions are fully auditable and that the resulting client-safe communication packets are completely verified before delivery. Ultimately, the system successfully bridges the gap between raw operations data and practical fuel-saving directives.

Prediction Engine

The Overrun Prediction Engine serves as the core risk-forecasting module of the platform, designed to flag potential fuel waste and operational inefficiencies before they occur during inbound flight turnarounds. By evaluating critical risk factors such as ground support equipment availability, historical aircraft maintenance performance, scheduled gate turnaround times, and local ramp temperatures, the system computes pre-emptive risk levels for every incoming flight. When an inbound aircraft is identified as having a high probability of exceeding its scheduled auxiliary power unit usage limits, the platform automatically generates tailored, actionable recommendations for terminal crew members. Operations supervisors can instantly dispatch automated digital notifications to ground crews, alerting them to connect pre-conditioned air units or external electrical power grids immediately upon arrival. This proactive alerting loop successfully transforms static, retroactive aviation reporting into dynamic, real-time waste mitigation.


The Operations

The Operations Intelligence and Prescriptions module enables aviation leaders to diagnose systematic inefficiencies, identify recurring anomaly patterns, and simulate the financial return on investment for proposed operational changes. Through its integrated root-cause diagnostics dashboard, the module groups repetitive ground-run overruns into distinct operational clusters, highlighting specific airports, gates, or fleets that consistently perform below standard target metrics. The interactive return on investment simulator then allows managers to model business cases by adjusting variables like fuel cost, ground power utilization rates, and pre-conditioned air availability to quantify potential savings. Additionally, an anomaly advisor panel leverages historical maintenance and operational data to flag repeated patterns of excessive engine runtimes that warrant deeper engineering investigation or immediate maintenance intervention. This comprehensive tool empowers airline executives to convert diagnostic insights into concrete operational changes and validated business cases.


Technologies Used

  • Platform:  Next.js, React 19
  • AI Models:  Google Gemini
  • Database:  Firebase — Auth, Firestore, Cloud Storage
  • Infrastructure: Vercel Edge Network
  • Industries: Aviation Industry

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