E-reservation restaurant
This project develops an innovative e-Reservation Restaurant web application aimed at revolutionizing online restaurant booking systems. The existing similar platforms have various limitations, such as limited search filters that make it difficult to find the perfect restaurant, and a lack of rem...
| Main Author: | |
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/6516/ http://eprints.utar.edu.my/6516/1/fyp_IB_2024_LKY.pdf |
| _version_ | 1848886701902004224 |
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| author | Lim, Kai Yi |
| author_facet | Lim, Kai Yi |
| author_sort | Lim, Kai Yi |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | This project develops an innovative e-Reservation Restaurant web application aimed at
revolutionizing online restaurant booking systems. The existing similar platforms have various
limitations, such as limited search filters that make it difficult to find the perfect restaurant, and
a lack of reminders for customers’ restaurant bookings can lead to high no-show rates due to
customers forgetting about their bookings. Moreover, contacting customer support for
reservation or website inquiries can be frustrating, as it lacks the efficiency of a live
representative. Hence, this project seeks to overcome these issues by creating a revolutionary
e-Reservation Restaurant website using the Agile methodology. The core motivation of this
project is to address the problems faced by existing online restaurant booking systems to create
an enhanced user-centric experience. This system empowers users with a personalized
recommendation engine that enables users to select their preferences, such as cuisine type and
desired location. The website then automatically recommends restaurants that align with the
customer’s individual needs. This not only saves users time searching but also introduces them
to new dining options they might not have otherwise known about. Additionally, the system
incorporates an "Add to Google Calendar" event function in the restaurant booking
confirmation e-mail, providing a friendly reminder in case customers forget about their
booking. This benefits diners and optimizes restaurant revenue and table management by
reducing no-show rates. To further enhance the user experience, the system incorporates
cutting-edge AI-powered features such as an AI chatbot to assist users with reservations and
website inquiries, providing immediate and convenient support, unlike the current limitations
of many platforms. By combining these functionalities, the system aims to significantly
improve the customer experience and satisfaction. Diners can anticipate a more streamlined
and enjoyable reservation process, while restaurants can expect a reduction in no-show rates
and an overall improvement in table management. |
| first_indexed | 2025-11-15T19:42:41Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-6516 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:42:41Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-65162024-10-23T05:18:19Z E-reservation restaurant Lim, Kai Yi T Technology (General) This project develops an innovative e-Reservation Restaurant web application aimed at revolutionizing online restaurant booking systems. The existing similar platforms have various limitations, such as limited search filters that make it difficult to find the perfect restaurant, and a lack of reminders for customers’ restaurant bookings can lead to high no-show rates due to customers forgetting about their bookings. Moreover, contacting customer support for reservation or website inquiries can be frustrating, as it lacks the efficiency of a live representative. Hence, this project seeks to overcome these issues by creating a revolutionary e-Reservation Restaurant website using the Agile methodology. The core motivation of this project is to address the problems faced by existing online restaurant booking systems to create an enhanced user-centric experience. This system empowers users with a personalized recommendation engine that enables users to select their preferences, such as cuisine type and desired location. The website then automatically recommends restaurants that align with the customer’s individual needs. This not only saves users time searching but also introduces them to new dining options they might not have otherwise known about. Additionally, the system incorporates an "Add to Google Calendar" event function in the restaurant booking confirmation e-mail, providing a friendly reminder in case customers forget about their booking. This benefits diners and optimizes restaurant revenue and table management by reducing no-show rates. To further enhance the user experience, the system incorporates cutting-edge AI-powered features such as an AI chatbot to assist users with reservations and website inquiries, providing immediate and convenient support, unlike the current limitations of many platforms. By combining these functionalities, the system aims to significantly improve the customer experience and satisfaction. Diners can anticipate a more streamlined and enjoyable reservation process, while restaurants can expect a reduction in no-show rates and an overall improvement in table management. 2024-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6516/1/fyp_IB_2024_LKY.pdf Lim, Kai Yi (2024) E-reservation restaurant. Final Year Project, UTAR. http://eprints.utar.edu.my/6516/ |
| spellingShingle | T Technology (General) Lim, Kai Yi E-reservation restaurant |
| title | E-reservation restaurant |
| title_full | E-reservation restaurant |
| title_fullStr | E-reservation restaurant |
| title_full_unstemmed | E-reservation restaurant |
| title_short | E-reservation restaurant |
| title_sort | e-reservation restaurant |
| topic | T Technology (General) |
| url | http://eprints.utar.edu.my/6516/ http://eprints.utar.edu.my/6516/1/fyp_IB_2024_LKY.pdf |