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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40722

Optimizing Travel Management

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40722

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40722

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

.SS

. Shanthi S

CVK

Charan Varma K

MM

Mahesh Mallikarjuna

SRA

Sathvik Reddy A

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Abstract

The rapid evolution of digital technologies has revolutionized the tourism industry, enabling more efficient and user-friendly booking platforms. This paper introduces a smart, integrated tourism booking platform aimed at streamlining travel management. The methodology encompasses an agile development approach with iterative design cycles, integrating services such as hotel reservations, cab bookings, and event ticketing. The results from a pilot study involving 200 participants highlight significant reductions in booking time and increased user satisfaction, with an 85% excellent rating on ease of use. These findings underscore the platform’s potential to enhance operational efficiency and transform travel experiences. Future implications include incorporating AI-driven recommendations, blockchain-based security, and expanding service partnerships to cater to diverse market needs. enabling more efficient and user-friendly booking platforms. This paper presents the development and implementation of a smart, integrated tourism booking platform designed to streamline travel management. The platform consolidates services such as hotel reservations, cab bookings, and event ticketing into a single system. By leveraging web technologies, the platform enhances user experience and operational efficiency. The research builds on existing studies in e-tourism, smart tourism technologies, and digital transformation to propose a scalable solution adaptable to different markets. The pilot study results demonstrate the platform’s effectiveness in reducing booking time and improving user satisfaction, underscoring its potential to transform travel experiences.

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Cite This Article

. Shanthi S, Charan Varma K, Mahesh Mallikarjuna, Sathvik Reddy A, "Optimizing Travel Management," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40722

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Publication Date

1/16/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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