Development of a restaurant table management web application
Skakun, Aleksandr (2024)
Skakun, Aleksandr
2024
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024122037826
https://urn.fi/URN:NBN:fi:amk-2024122037826
Tiivistelmä
Table reservation and management are essential parts of restaurant business. Efficient performance in both areas can improve customer experience and increase overall effectiveness of restaurant operations. However, many businesses are still relying on outdated and rudimentary methods to accomplish these tasks, which are prone to human errors and restrict operational efficiency, scalability and sustainability. Thus, table management applications were explored with a goal to identify essential functionalities and assess how emerging applications in this field can be developed and improved.
Through a combination of qualitative analysis of customer feedback and a detailed review of leading table management applications, the study highlights essential features of table management applications, which include guest database, table reservation tracking, restaurant layout visualization, and advanced analytics tools. These functionalities form the foundation of competitive table management platforms and should be prioritized during the development process.
The findings provide actionable insights for software developers working in this field, enabling them to design more effective and user-centered solutions. Additionally, the research serves as a practical guide for restaurant managers by equipping them with the knowledge needed to make informed decisions when selecting table management applications and the information about the benefits the software pro-vides.
Through a combination of qualitative analysis of customer feedback and a detailed review of leading table management applications, the study highlights essential features of table management applications, which include guest database, table reservation tracking, restaurant layout visualization, and advanced analytics tools. These functionalities form the foundation of competitive table management platforms and should be prioritized during the development process.
The findings provide actionable insights for software developers working in this field, enabling them to design more effective and user-centered solutions. Additionally, the research serves as a practical guide for restaurant managers by equipping them with the knowledge needed to make informed decisions when selecting table management applications and the information about the benefits the software pro-vides.