Reservation Collaborator: Smart Solution for Service Reservation

DOI

10.2991/978-94-6239-768-2_15How to use a DOI?

Keywords

MERN Stack; AI Driven Booking; Service Reservation; Real Time Scheduling Automation

Abstract

In today’s world an individual often faces time shortage while planning or booking an event. The process of searching and choosing the event is time consuming and overwhelming. Customers generally check many websites while considering the requirements and then only decide to book the event. In this situation they seek the help from an event coordinator who has prior knowledge and helps them to book the appropriate event in lesser time and without spending much resources. To handle this scenario, we are proposing a solution that saves the customer from browsing through different websites to investigate themselves, they will just need to send the requirements to the event coordinator, and event coordinator will book the event for the individual. We have delivered an application using MERN Stack (Mongo, Express.js, React.js, Node.js) which will provide these features to the customer. The hiring of event coordinators to enable customers to schedule bulk bookings, as well as real-time support via a built-in messaging system is one of the standout features in the system and manages customers, events, sales and coordinator assignment through admin panel.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

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TY  - CONF
AU  - Sahil Rampal
AU  - Sachin Kumar
AU  - Vinay Fagodia
AU  - Vijaya Laxmi
AU  - Abdul Maazid
PY  - 2026
DA  - 2026/09/07
TI  - Reservation Collaborator: Smart Solution for Service Reservation
BT  - Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
PB  - Atlantis Press
SP  - 138
EP  - 151
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-768-2_15
DO  - 10.2991/978-94-6239-768-2_15
ID  - Rampal2026
ER  -