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Main Authors: Atharva Deshmukh, Anirudh Madiwal, Shruti Ayare, Purva Devrukhkar
Format: Recurso digital
Language:English
Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.19564533
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author Atharva Deshmukh
Anirudh Madiwal
Shruti Ayare
Purva Devrukhkar
author_facet Atharva Deshmukh
Anirudh Madiwal
Shruti Ayare
Purva Devrukhkar
contents The rapid growth of the food and beverage industry has increased the need for efficient and automated management systems. Traditional café management methods often rely on manual processes, leading to inefficiencies, errors, and reduced customer satisfaction. This research paper presents the design and development of the Lumière Café Management System, a full-stack web-based application aimed at streamlining café operations including order processing, inventory tracking, staff management, and reporting. The system leverages modern web technologies such as React for the frontend, Node.js with Express for backend services, and SQL-based databases for persistent data storage. The application provides role-based access for administrators and staff, enabling efficient task allocation and monitoring. The results demonstrate improved operational efficiency, reduced human errors, and enhanced decision-making capabilities through real-time data insights.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19564533
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Lumière-Café-Management
Atharva Deshmukh
Anirudh Madiwal
Shruti Ayare
Purva Devrukhkar
The rapid growth of the food and beverage industry has increased the need for efficient and automated management systems. Traditional café management methods often rely on manual processes, leading to inefficiencies, errors, and reduced customer satisfaction. This research paper presents the design and development of the Lumière Café Management System, a full-stack web-based application aimed at streamlining café operations including order processing, inventory tracking, staff management, and reporting. The system leverages modern web technologies such as React for the frontend, Node.js with Express for backend services, and SQL-based databases for persistent data storage. The application provides role-based access for administrators and staff, enabling efficient task allocation and monitoring. The results demonstrate improved operational efficiency, reduced human errors, and enhanced decision-making capabilities through real-time data insights.
title Lumière-Café-Management
url https://doi.org/10.5281/zenodo.19564533