Grin logo
de en es fr
Shop
GRIN Website
Publicación mundial de textos académicos
Go to shop › Ciencias de la computación - Software

Smart Restaurant. A Management Application for Restaurants and Hotels

Título: Smart Restaurant. A Management Application for Restaurants and Hotels

Redacción Científica , 2017 , 62 Páginas , Calificación: 10.8

Autor:in: Abish Gurung (Autor), Bamdev Bhandari (Autor), Bishnu Sharma (Autor), Hari K. C. (Autor)

Ciencias de la computación - Software
Extracto de texto & Detalles   Leer eBook
Resumen Extracto de texto Detalles

Traditional method that has commonly been used in hotels is taking the customer’s orders and writing it down on a piece of paper. Many solutions have been proposed for solving this issue. “Smart Restaurant” is a Management Application for ordering, browsing, searching and booking the hotel and restaurant services, menus and items. This Project aims to make easy for hotel services with minimum manpower and by digital in hotel.

No login or user authentication is required to view or search products. Any normal guest user can view on our services and view items and products inside hotel Wi-Fi coverage area and by web application. He/she can search/order different products and can even add them to the KOT also booking services then registered their basic info as Table Number using application by scanning the barcode on table.

We are implementing this system using Web application for User and Restaurant. There is an enormous potential benefit for these businesses in recording customer orders and serving the foods. Without any doubt this is very convenient, effective and easy so that it improves the performance of restaurant’s staff and maximize the customer’s visits which will ultimately boost the economy of the restaurant.

Extracto


Table of Contents

Chapter 1 INTRODUCTION

1.1. BACKGROUND

1.2. PROBLEM STATEMENT

1.3. OBJECTIVES

1.3.1. Primary Objectives

Features:

1.3.2. Secondary Objectives

1.4. IMPLICATION

Chapter 2 LITERATURE REVIEW

Chapter 3 TOOLS AND METHODOLOGY

3.1. REQUIRED TOOLS

3.1.1 Language

Python

3.1.2 Framework

3.1.3 Software

3.1.4 Version Control and Project Management

3.2. ALGORITHM OR SOLUTION APPROACH USED

3.2.1 Role base access control

3.2.2 Business to consumer model

Chapter 4 SYSTEM ANALYSIS AND DESIGN

4.1 Use Case and Operation Contracts

4.2 Activity Diagram

4.3 Domain Model

4.4 Entity-Relation (ER) Diagram

4.5 System Sequence Diagrams

4.6 Interaction Diagram (Sequence Diagrams)

Chapter 5 TESTING

5.1 Scope

5.2 Test Objectives

5.3 Testing Goals

5.4 What were tested

5.5 Entrance Criteria

5.6 Exit Criteria

5.7 Test Execution

5.8 Test Result

Chapter 7 RESULT AND DISCUSSIONS

Chapter 8 FUTURE IMPROVEMENTS

Chapter 9 CONCLUSION

Project Goals and Scope

This project aims to modernize restaurant and hotel management by replacing manual, paper-based ordering processes with an efficient, digital web application. By leveraging barcode scanning for table registration and a centralized ordering system, the project seeks to reduce manpower requirements, eliminate service delays, and provide a seamless, personalized experience for guests while streamlining operations for staff.

  • Development of a digital Kitchen Order Ticket (KOT) system.
  • Implementation of a multi-role user management system (Guest, Staff, Admin).
  • Integration of automatic billing features for faster transaction processing.
  • Creation of a platform for real-time menu browsing, ordering, and service booking.

Excerpt from the Book

1.1. BACKGROUND

Popularity of restaurants has increased in recent years. The general practice in a restaurant involves the customer making his order and waiting for the ordered meal. However, the complaints received from customers regarding services offered in restaurants has increased too. This feeling of dissatisfaction is caused by many reasons, namely, delay in delivering customer’s order. Advancement in communication technologies can be used to resolve these issues. Accordingly, this removing the limitations in the food ordering process, with the help of an integrated and networked system. This application involves the use of mobile phones for undertaking the food ordering process in restaurants.

Nowadays web services technology is widely used to integrate heterogeneous systems and develop new applications. Here an application of integration of hotel management systems by web services technology is presented. Smart Restaurant integrates lots of systems of hotel industry such as Ordering System Kitchen Order Ticket (KOT), Billing System and various services booking. This integration solution can add or expand hotel software system in any size of hotel chains environment.

This system increases quality and speed of service. This system also increases attraction of place for large range of customers. Implementing this system gives a cost-efficient opportunity to give your customers a personalized service experience where they are in control choosing what they want – from dining to ordering to payment and feedback.

Summary of Chapters

Chapter 1 INTRODUCTION: Outlines the background of the shift toward digital restaurant management and defines the primary and secondary objectives of the project.

Chapter 2 LITERATURE REVIEW: Analyzes existing software solutions in the market, such as Swastik Restaurant ERP, ALICE, and ChowNow, to identify gaps and functional requirements.

Chapter 3 TOOLS AND METHODOLOGY: Details the technical stack, including languages like Python and JavaScript, frameworks like Django and Vue.js, and architectural concepts like RBAC and B2C.

Chapter 4 SYSTEM ANALYSIS AND DESIGN: Provides a comprehensive overview of the system architecture through use cases, activity diagrams, and sequence diagrams for different user roles.

Chapter 5 TESTING: Explains the testing strategy, including scope, objectives, criteria, and the results of various black-box tests performed to ensure system reliability.

Chapter 7 RESULT AND DISCUSSIONS: Reflects on the successful completion of the project and its potential for market deployment and operational efficiency.

Chapter 8 FUTURE IMPROVEMENTS: Identifies potential future enhancements, such as full hotel management integration, social media features, and advanced product recommendation systems.

Chapter 9 CONCLUSION: Summarizes the project's impact on employment, restaurant economics, and the overall improvement of the dining experience.

Keywords

Smart Restaurant, Web Application, KOT, Digital Ordering, Hotel Management, Python, Django, Vue.js, RBAC, B2C, System Analysis, Software Testing, E-commerce, Automation, Barcode Integration

Frequently Asked Questions

What is the core purpose of the Smart Restaurant project?

The core purpose is to digitize the traditional, paper-based ordering process in hotels and restaurants to reduce wait times, minimize manpower, and improve overall service efficiency.

Which primary user categories are managed by the system?

The system distinguishes between three main user categories: Guest Users (customers), Waiters/Kitchen staff, and Account/Management staff.

What is the main objective of the platform?

The primary objective is to provide a feature-rich, digital environment for guests to search, view menus, and order food, while enabling kitchen staff to handle orders through a digital KOT system.

Which technologies were utilized to build this application?

The system was developed using Python and Django for the backend, JavaScript and Vue.js for the frontend, and various tools for project management and version control like Git and GitHub.

What is covered in the system analysis phase?

The analysis phase covers detailed use cases, operation contracts, and various diagrams including activity, domain, entity-relation, and sequence diagrams to map out the system's logic and user interactions.

What are the key characteristics of this system?

The system is characterized by its use of barcode scanning for table identification, Role-Based Access Control (RBAC), and a B2C (Business-to-Consumer) model aimed at simplifying the user experience.

How does the system handle table identification?

Customers register their table by using the application to scan a barcode provided on the table, which links their session to that specific location.

Why is the "Smoke Test" mentioned in the testing methodology?

Smoke testing was performed as an initial verification step to ensure the application was stable enough to undergo comprehensive functional and regression testing.

Final del extracto de 62 páginas  - subir

Detalles

Título
Smart Restaurant. A Management Application for Restaurants and Hotels
Curso
Institute of Engineering
Calificación
10.8
Autores
Abish Gurung (Autor), Bamdev Bhandari (Autor), Bishnu Sharma (Autor), Hari K. C. (Autor)
Año de publicación
2017
Páginas
62
No. de catálogo
V384237
ISBN (Ebook)
9783668597723
ISBN (Libro)
9783668597730
Idioma
Inglés
Seguridad del producto
GRIN Publishing Ltd.
Citar trabajo
Abish Gurung (Autor), Bamdev Bhandari (Autor), Bishnu Sharma (Autor), Hari K. C. (Autor), 2017, Smart Restaurant. A Management Application for Restaurants and Hotels, Múnich, GRIN Verlag, https://www.grin.com/document/384237
Leer eBook
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
  • Si ve este mensaje, la imagen no pudo ser cargada y visualizada.
Extracto de  62  Páginas
Grin logo
  • Grin.com
  • Envío
  • Contacto
  • Privacidad
  • Aviso legal
  • Imprint