The Role of Fintech Innovations in Streamlining Airline Ticketing and Payment Systems

Authors

  • Sudharsan Independent Researcher, India. Author

DOI:

https://doi.org/10.56472/ICCSAIML25-150

Keywords:

Fintech, Airline Ticketing, Blockchain, Digital Wallets, Payment Systems, AI, Fraud Prevention

Abstract

Fintech innovations have significantly transformed the airline industry, particularly in ticketing and payment systems. This paper explores the integration of financial technology to enhance efficiency, reduce costs, and improve customer experience. By leveraging blockchain technology, artificial intelligence (AI), and digital wallets, airlines can offer seamless transactions, minimize fraud, and enable flexible pricing strategies. The study analyzes current trends, challenges, and future prospects in the fintech-driven airline ticketing ecosystem. The integration of blockchain technology ensures secure, transparent, and tamper-proof transactions, thereby reducing fraud cases and enhancing data integrity. AI-driven dynamic pricing models enable airlines to adjust ticket prices based on demand patterns and customer behavior, optimizing revenue management. Additionally, digital wallets and biometric payment systems provide passengers with faster and more convenient payment options, improving overall customer satisfaction. The mixed-method approach adopted in this research combines qualitative case studies of major airlines that have successfully implemented fintech solutions with quantitative analysis of transaction speed, customer satisfaction, and cost reduction. Primary data is gathered through surveys and interviews with passengers and airline financial teams, while secondary data is sourced from financial reports and industry whitepapers. Analytical tools such as SPSS and blockchain monitoring systems are employed to assess the correlation between fintech adoption and operational efficiency. The findings reveal that fintech innovations have led to a 40% reduction in transaction times, decreased fraud cases, and increased customer satisfaction through mobile wallet integration and loyalty program participation. This paper highlights the key success factors, operational challenges, and future prospects of fintech adoption in the airline industry, providing valuable insights for stakeholders aiming to enhance their ticketing and payment systems through advanced financial technologies

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References

[1] Barua, B., & Kaiser, M. S. (2024). Blockchain-Based Trust and Transparency in Airline Reservation Systems using Microservices Architecture.

[2] Animesh Kumar, “AI-Driven Innovations in Modern Cloud Computing”, Computer Science and Engineering, 14(6), 129-134, 2024.

[3] V. Attaluri, L.N.R. Mudunuri, “Generative AI for Creative Learning Content Creation: Project-Based Learning and Art Generation, in: Smart Education and Sustainable Learning Environments in Smart Cities”, IGI Global Scientific Publishing, 2025: pp. 239–252.

[4] Lakshmikanthan, G., & Sreekandan Nair, S. (2024). Protecting Self-Driving Vehicles from attack threats. International Journal of Emerging Research in Engineering and Technology, 5(1), 16-20. https://doi.org/10.63282/y6vhvm05

[5] R. Daruvuri, K. K. Patibandla, and P. Mannem, “Data Driven Retail Price Optimization Using XGBoost and Predictive Modeling”, in Proc. 2025 International Conference on Intelligent Computing and Control Systems (ICICCS), Chennai, India. 2025, pp. 838–843.

[6] Venu Madhav Aragani and Mohanarajesh Kommineni Sudheer Panyaram,Sunil Kumar Sehrawat, Swathi Chundru, Praveen Kumar Maroju, (2025), AI and Robotics: A Symbiotic Relationship in Digital Manufacturing, IEEE.

[7] Ratliff, R., & Shebalov, S. (2023, May 9). Five AI/ML use cases that help airlines drive revenue – Part 1. Sabre Insights.

[8] Sandeep Sasidharakarnavar. “Revolutionizing Hr: Leveraging Workday Platform For Enhanced Workforce Management”. IJAIBDCMS [International JournalofAI,BigData,ComputationalandManagement Studies]. 2025 Mar. 16 [cited 2025 Jun. 4]; 6(1):PP. 98-105.

[9] Shukla, N., Kolbeinsson, A., Otwell, K., Marla, L., & Yellepeddi, K. (2019). Dynamic Pricing for Airline Ancillaries with Customer Context. arXiv preprint arXiv:1902.02236.

[10] Aragani, V. M. (2023). “New era of efficiency and excellence: Revolutionizing quality assurance through AI”. ResearchGate, 4(4), 1–26.

[11] Pugazhenthi, V. J., Singh, J. K., Visagan, E., Pandy, G., Jeyarajan, B., & Murugan, A. (2025, March). Quantitative Evaluation of User Experience in Digital Voice Assistant Systems: Analyzing Task Completion Time, Success Rate, and User Satisfaction. In SoutheastCon 2025 (pp. 662-668). IEEE.

[12] “Artificial intelligence and dynamic pricing: a systematic literature review.” (2025). Journal of AI in Business, (2025), Article 2466140.

[13] Swathi Chundru, Arunkumar Thirunagalingam, Praveen Maroju, Pushan Kumar Dutta, Harsh Yadav, Pawan Whig, (2024/12/1), Internet of water: quantifying IoT's impact on urban water management and resource optimization in smart cities, 8th IET Smart Cities Symposium (SCS 2024), 2024,

528-533, IET.

[14] Kiran Nittur, Srinivas Chippagiri, Mikhail Zhidko, “Evolving Web Application Development Frameworks: A Survey of Ruby on Rails, Python, and Cloud-Based Architectures”, International Journal of New Media Studies (IJNMS), 7 (1), 28-34, 2020.

[15] Palakurti, A., & Kodi, D. (2025). “Building intelligent systems with Python: An AI and ML journey for social good”. In Advancing social equity through accessible green innovation (pp. 1–16). IGI Global.

[16] IATA. (2017). Blockchain in Aviation White Paper. International Air Transport Association.

(Note: originally published in 2017; still cited in current industry discussions)

[17] Pulivarthy, P. (2024). Optimizing Large Scale Distributed Data Systems Using Intelligent Load Balancing Algorithms. AVE Trends in Intelligent Computing Systems, 1(4), 219–230.

[18] FLYR Labs. (2022). The Future of Dynamic Pricing for Airlines. FLYR Resource Hub.

[19] Venu Madhav Aragani, Venkateswara Rao Anumolu, P. Selvakumar, “Democratization in the Age of Algorithms: Navigating Opportunities and Challenges,” in Democracy and Democratization in the Age of AI, IGI Global, USA, pp. 39-56, 2025.

[20] A High Gain DC-DC Converter with Maximum Power Point Tracking System for PV Applications - Sree Lakshmi Vineetha Bitragunta, Lakshmi Triveni Mallampati, Vijayavani Velagaleti - IJSAT Volume 10, Issue 2, PP- 1-2, April-June 2019. DOI 10.5281/zenodo.14473958

[21] “Reinforcement learning for multi flight dynamic pricing.” (2024). European Journal of AI and Transportation, S0360835224004236.

[22] Singhal, S., Kothuru, S. K., Sethibathini, V. S. K., & Bammidi, T. R. (2024). ERP excellence a data governance approach to safeguarding financial transactions. Int. J. Manag. Educ. Sustain. Dev, 7(7), 1-18.

[23] Kommineni, M., & Chundru, S. (2025). Sustainable Data Governance Implementing Energy-Efficient Data Lifecycle Management in Enterprise Systems. In Driving Business Success Through Eco-Friendly Strategies (pp. 397-418). IGI Global Scientific Publishing.

[24] Ipositively. (2024). AI in Flight and Hotel Pricing: Dynamic Pricing and Demand Forecasting. iPositively.

[25] Bhagath Chandra Chowdari Marella, “From Silos to Synergy: Delivering Unified Data Insights across Disparate Business Units”, International Journal of Innovative Research in Computer and Communication Engineering, vol.12, no.11, pp. 11993-12003, 2024.

[26] Puvvada, R. K. (2025). Enterprise Revenue Analytics and Reporting in SAP S/4HANA Cloud. European Journal of Science, Innovation and Technology, 5(3), 25-40.

[27] Sree Lakshmi Vineetha Bitragunta, 2022. "Field-Test Analysis and Comparative Evaluation of LTE and PLC Communication Technologies in the Context of Smart Grid", ESP Journal of Engineering & Technology Advancements 2(3): 154-161.

[28] Maroju, P. K. (2024). Advancing synergy of computing and artificial intelligence with innovations challenges and future prospects. FMDB Transactions on Sustainable Intelligent Networks, 1(1), 1-14.

[29] Muniraju Hullurappa, Mohanarajesh Kommineni, “Integrating Blue-Green Infrastructure Into Urban Development: A Data-Driven Approach Using AI-Enhanced ETL Systems,” in Integrating Blue-Green Infrastructure Into Urban Development, IGI Global, USA, pp. 373-396, 2025.

[30] Padmaja Pulivarthy. (2024/12/3). Harnessing Serverless Computing for Agile Cloud Application Development,” FMDB Transactionson Sustainable Computing Systems. 2,( 4), 201-210, FMDB.

[31] S. Panyaram, "Automation and Robotics: Key Trends in Smart Warehouse Ecosystems," International Numeric Journal of Machine Learning and Robots, vol. 8, no. 8, pp. 1-13, 2024.

[32] Kirti Vasdev. (2021). “Drones Technology in GIS for Telecom Cell Tower Maintenance”. International Journal on Science and Technology, 12(3), 1–9. https://doi.org/10.5281/zenodo.14474403

[33] Lakshmi Narasimha Raju Mudunuri, Pronaya Bhattacharya, “Ethical Considerations Balancing Emotion and Autonomy in AI Systems,” in Humanizing Technology With Emotional Intelligence, IGI Global, USA, pp. 443-456, 2025.

[34] Sumaiya Noor, Salman A. AlQahtani, Salman Khan, “ XGBoost-Liver: An Intelligent Integrated Features Approach for Classifying Liver Diseases Using Ensemble XGBoost Training Model”, Computers, Materials and Continua, Volume 83, Issue 1, 2025, Pages 1435-1450, ISSN 1546-2218, https://doi.org/10.32604/cmc.2025.061700.(https://www.sciencedirect.com/science/article/pii/S1546221825002632).

[35] A. Garg, M. Pandey, and A. R. Pathak, “A Multi-Layered AI-IoT Framework for Adaptive Financial Services”, IJETCSIT, vol. 5, no. 3, pp. 47–57, Oct. 2024, doi: 10.63282/3050-9246.IJETCSIT-V5I3P105

[36] Kovvuri, V. K. R. (2024). AI in Banking: Transforming Customer Experience and Operational Efficiency. International Journal for Multidisciplinary Research.[Online]. Available: https://www. ijfmr. com/papers/2024/6/31679. pdf.

[37] Venkata SK Settibathini. Optimizing Cash Flow Management with SAP Intelligent Robotic Process Automation (IRPA). Transactions on Latest Trends in Artificial Intelligence, 2023/11, 4(4), PP 1-21, https://www.ijsdcs.com/index.php/TLAI/article/view/469/189

Published

2025-05-18

How to Cite

1.
Sudharsan. The Role of Fintech Innovations in Streamlining Airline Ticketing and Payment Systems. IJETCSIT [Internet]. 2025 May 18 [cited 2025 Sep. 13];:429-38. Available from: https://ijetcsit.org/index.php/ijetcsit/article/view/284

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