Project of an information system for restaurant business management

Abstract

Information technologies provide automated systems for enterprises that can help companies track customer interactions and allow employees to quickly process customer data. This concept is known as Customer Relationship Management (CRM), and when properly implemented, it enhances companies’ ability to achieve the ultimate goal of customer retention, thereby achieving strategic improvement in comparison to competitors. The article discusses the main trends in the development of CRM systems for the restaurant business. Implementing specialized software can address the following tasks for restaurants: organizing staff work and monitoring the quality of task execution, optimizing the operation of all establishment workstations, maintaining a customer database, tracking orders, controlling inventory turnover, and generating reports, among others. Integrating artificial intelligence and machine learning in the restaurant business sector enables data processing optimization, assisting in predicting customer demand and preferences based on their orders and behavior. Modern CRM systems in business are actively used to analyze data aimed at understanding customer preferences, enabling the creation of personalized offers and effectively implementing targeting campaigns. During the project implementation, the functionality, advantages and disadvantages of management systems for the restaurant business were analyzed. The information system for the restaurant was modeled using UML diagrams, including the requirements for the IT project and the design procedure.