Designing UI & UX for innovative restaurant management platform

Case Study
Sales monitoring dashboard using POS data case study - Introduction


Our client, a Frankfurt based startup, reached out to us with a request to design and develop an intuitive web application dashboard to present important KPIs - like annual turnover, best tables, best products - that any restaurant owner needs for day to day business management. We’ve delivered the initial product concept in one bi-weekly Design Sprint.




  • UI/UX design
  • front-end development



The problem

The owners of restaurants, bars and pubs using POS solutions are looking for the possibility of detailed monitoring and analysis of various aspects of their business activities.

Sales monitoring dashboard using POS data case study - Problem

They needed a solution that would enable them to better optimize and plan expenses and sales, without implementing complex tools.

The Solution

After obtaining the necessary information and defining the exact business requirements, we conducted several design workshops and the first design sprint aimed at creating functional mockups.

Sales monitoring dashboard using POS data case study - Solution

In the next stage, after accepting the layout of functional elements and the overall look & feel, our team designed both the target dashboard user interface - with a wide range of data visualization - and the sales and information landing page, containing all the necessary content about the dashboard application.

Sales monitoring dashboard using POS data case study - Solution

In the last phase, both the web application and the sales website gained a front-end layer for the demonstration to potential customers. The end result was a neat, visually coherent dashboard and landing page with a strong emphasis on user experience.

Sales monitoring dashboard using POS data case study - Solution

Among the many functions designed and placed in the application, the target product will enable:

  • observation of detailed sales statistics,
  • details of the staffing of tables, inventory and staff, broken down into any time range,
  • statistics of the most frequently sold products divided into categories, individual days of the week and opening hours of the premises,
  • break-even tracking for the current day,
  • monitoring the occupancy and revenues of specific tables,
  • hours of the highest load of the premises and predictions regarding the demand for service and specific goods,
  • synchronization with the weather station,
  • a module for viewing opinions issued by customers in social media.

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