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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
             database.  The  results  indicated  that  even  with  a  larger   Conclusion:  The  system  was  scalable  and  reliable,
             dataset, the average execution time was 0.5 seconds. From   performing well even during high-traffic scenarios.
             the performance testing, no slow queries were found; this   D.  Customer Experience
             means  the  optimized  database  design  was  effective  in
                                                                This made the user interface more interactive because of
             handling large amounts of data while fast response times   features such as personalized recommendations, booking
             were maintained.
                                                                history, and instant notifications.
             Payment System Performance
                                                                Limitations: Customer satisfaction scores improved by 18%.
             This performance was evaluated for the payment system by
                                                                Repeat  customer  rate  improved  by  15%.  Notifications
             embedding a payment gateway, such as Stripe, to handle
                                                                reduced missed flights by 10%.
             transactions. The time taken by the API response of Stripe
             for every transaction was closely monitored. During testing   Conclusion: Personal features and up-to-date information
             100  simultaneous  transactions  were  processed,  and  the   contributed  to  a  customer-centric  system,  reflecting  the
             performance was expected to be such that it does not take   increased loyalty and repeated usage.
             more than 3 seconds in confirmation after the payment. The
                                                                E.  Operational Efficiency
             results  indicate  the  average  response  time  for  payment
                                                                Observation:  Automation  and  centralized  management
             processing  was  2.5  seconds  with  no  transaction  failures.
                                                                reduced manual errors and streamlined operations.
             Such  results  ensure  reliability  in  the  integrated  payment
             process, and this may be considered one of the systems that   Limitations:Erroneous rates in booking decreased by 30%.
             can provide multiple transactions at a high volume without   Operational  costs  declined  by  20%  as  well  because  of
             errors.                                            automation.
             VI.    FUTURE SCOPE                                Conclusion:  The  system  drastically  improved  operational
             The future scope of airline reservation systems, therefore,   efficiency while cutting the overhead cost by enhancing the
             revolves around increased personalization, efficiency, and   service quality.
             security with the inclusion of emerging technologies such as   VIII.
             AI, blockchain, and AR that are likely to improve booking   LITERATURE REVIEW
                                                                A.  Current State of Airline Booking Systems:
             processes through increased efficiency and user-friendliness
                                                                The airline  reservation  systems  are quite different today
             while simultaneously enhancing sustainability and customer
                                                                from their past counterparts. Airline today use sophisticated
             satisfaction.
                                                                software systems like Amadeus, Sabre, and Travelport which
             VII.   RESULT ANALYSIS                             is integrated with GDS so that airlines can communicate with
             The result analysis highlights the performance evaluation of   the travel agencies as well as with the consumers effectively
             the  system,  user  acceptance,  scalability,  and  operational   (Jones & Patel, 2019). It allows real-time search and booking
             efficiency concerning the airline's booking system. Here is an   of the flights, thus ensuring faster and convenient booking.
             in-depth discussion of the findings:               According to research by Martin et al. (2022), these systems
                                                                are becoming more integrated with online travel agencies,
             A.  System Usability
             Observation: The air booking system gave an easy, intuitive   thus offering greater direct access to flight inventory and
             interface  so  that  customers  can  search  for  their  flights,   better pricing options for travelers.
             compare prices, and complete their bookings.       B.  Technologies:
                                                                Emerging  technologies  have  completely  redefined  the
             Limitations: Average booking completion time reduced by
                                                                operations  of  an  airline  reservation  system.  Artificial
             25%. 85% of  the users  responded that the interface was
                                                                Intelligence  (AI)  and  machine  learning  are  being
             "very easy to use" in the feedback surveys.
                                                                incorporated into systems to facilitate personalization. For
             Conclusion: The simplification of design has greatly helped   example,  systems  are  using  AI  to  anticipate  customers'
             in usability with reduced learning curves for users to make   preference, for instance, a specific seat or a specific meal
             more bookings.                                     preference,  and  promoting  the  same  in  response  to
                                                                customers'  previous  history  of  actions  (Lee  &  Zhang,
             B.  Real-Time Availability                         2020).Use  of  Chatbots  and  voice  assistants:  Increasingly,
             Observation: A dynamic database system integrated into the
             whole  ensured  real-time  synchronizations  of  flight   reservations  and  managing  one's  itineraries  can  also  be
             schedules, seat availability, and pricing across all platforms.   made and managed with chatbots and natural language voice
                                                                assistants (Chavez & Turner, 2023).
             Limitations: Reduced time of data synchronization to less   C.  User Experience and Customer Satisfaction:
             than  1  second.  Reduced  user  complaints  about  outdated   Critical  to  the  research  is  user  experience  (UX).  Indeed,
             flight information by 90%.
                                                                previous studies determine that customer satisfaction goes
             Conclusion:  Providing  real-time  updates  improved  the   hand-in-hand  with  ease  of  use  in  booking  platforms.  For
             system's credibility and transparency to achieve better user   instance,  Wang  (2021)  report  that  consumers  opt  for
             satisfaction.                                      systems that provide fast, intuitive interfaces and are even
                                                                better adapted to mobile platforms. Moreover, John F. Kros
             C.  Backend Efficiency                             and  Marie  G.Brown(2011)  discuss  the  integration  into
             Observation: Java for application logic and MySQL for data   loyalty programs to be seamless as personalized rewards
             management  ensured  that  all  backend  processes  were   and  incentives  through  ARS  systems  enhance  overall
             efficiently handled. During the heavy loads, peak booking   customer satisfaction and retention.
             periods, and other times, the system performed well.
                                                                D.  Challenges and Limitations:
             Limitations:System uptime of 99.9%. Average response time   Despite  all  these  improvements,  the  airline  reservation
             is 1.2 seconds for 10,000 concurrent users under a load.

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