Abstract
<title>Abstract</title> <p>The progressive integration of data-driven technologies into airline flight dispatch operations has fundamentally reshaped how operational control centres manage flight planning, risk assessment, and real-time decision-making. Traditional dispatch workflows, constrained by manual data aggregation, static flight planning tools, and fragmented situational awareness, increasingly fail to meet the demands of modern high density airline operations. This paper examines how data-driven flight dispatch systems— incorporating predictive analytics, meteorological intelligence feeds, advanced fuel optimisation engines, and automated risk assessment modules—enhance operational efficiency, safety performance, and fuel economy across the airline operational control environment. Drawing on a structured comparative framework contrasting traditional and modern dispatch architectures, this study evaluates performance improvements across eight operational dimensions including dispatch processing time, route efficiency, fuel consumption, delay reduction, decision accuracy, situational awareness, risk mitigation effectiveness, and flight completion rates. The analysis demonstrates that data-driven dispatch systems deliver statistically significant improvements across all evaluated parameters. Key findings indicate fuel savings of 3.2–7.8% per flight, dispatch processing time reductions of 38–52%, and delay frequency reductions exceeding 29% under adverse weather conditions. The paper further examines the operational architectures underpinning these improvements, including integrated meteorological feeds, NOTAM automation, aircraft performance modelling, and continuous flight monitoring. Implications for airline operational control standardisation, regulatory frameworks, and future automation trajectories are discussed. The findings affirm that systematic adoption of data-driven dispatch technologies represents a critical enabler of safe, efficient, and resilient airline operations.</p>