A Next-Generation Approach to Airline Reservations: Integrating Cloud Microservices With AI and Blockchain for Enhanced Operational Performance

This paper introduces an architecture for a next-generation airline system, utilising cloud-based microservices, distributed Artificial intelligence (AI), and blockchain to overcome critical system limitations of scale, integrity of data, and avenues of customer inefficiency. In the modular architecture, reservations, payments, and customer profiles can be managed independently, thereby improving scalability by 40% and availability by 30%. AI modules analyse historical data of bookings and user behaviours for demand forecasting and for making personalised recommendations, which, in turn, increases customer engagement by 25%. Blockchain provides proper secure tamper-proof record-keeping of transactions, thereby minimising fraud and increasing data transparency by 20%. The proposed system was evaluated under real-world traffic occurrences, simulating concurrent users in the range of 100–1000, employing a simulation platform that was built for this purpose. The proposed approach reduces transaction latency by 15% and offers a 35% enhancement in throughput for secure data as compared to the usual Systems - Ablation confirms that each module (AI, blockchain, microservices) contributes uniquely to the performance of the system. This architecture holds cross-domain potential, especially for logistics and hospitality. The findings emphasise the transformation possible when we use AI, blockchain, and cloud services in mission-critical, high-demand environments.