Summary of A Next-generation Approach to Airline Reservations: Integrating Cloud Microservices with Ai and Blockchain For Enhanced Operational Performance, by Biman Barua and M. Shamim Kaiser
A Next-Generation Approach to Airline Reservations: Integrating Cloud Microservices with AI and Blockchain for Enhanced Operational Performance
by Biman Barua, M. Shamim Kaiser
First submitted to arxiv on: 10 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computational Engineering, Finance, and Science (cs.CE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research proposes a next-generation airline reservation system that leverages Cloud microservices, distributed artificial intelligence modules, and blockchain technology to enhance efficiency, safety, and customer satisfaction. The traditional systems face challenges with scalability, data integrity, and service levels, which this architecture aims to address through modular and data-centric design approaches. The AI-driven modules utilize past booking patterns and customer profiles to estimate demand and make recommendations, increasing customer engagement by 25%. Blockchain ensures an incorruptible ledger system for transactions, mitigating fraud incidents and improving clarity by 20%. The system was evaluated using a simulator and machine learning evaluations, showing enhancements in transaction speed, secure data processing rates (35%), and system response time (15%). This structural design indicates how advanced technologies will revolutionize the airline reservation sector. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research creates a new kind of airline reservation system that uses special computer services, artificial intelligence, and blockchain technology to make it better. The old systems have problems with growing too big, keeping data safe, and giving good service to customers. This new system tries to solve these problems by breaking things down into smaller parts and focusing on the data. It also uses artificial intelligence to look at past booking patterns and customer profiles to suggest what people might want to do next. This makes customers more engaged (25% more!). The blockchain technology helps keep transactions safe and honest, making it harder for bad things to happen. Overall, this new system is faster, safer, and better. |
Keywords
» Artificial intelligence » Machine learning
