Our team developed a revenue forecasting model for Restaurant Sonne Sempachersee to address staffing imbalances caused by unpredictable guest volume. By training a Random Forest on four years of sales data, weather metrics, and local event calendars, we built a system that explains 83.22% of revenue variability. This approach reduced forecasting errors by 11.4% compared to the restaurant's existing method, providing a data-driven basis for weekly workforce planning.

A project write-up is in the works — stay tuned.

START Hack St. Gallen is one of Europe's leading entrepreneurial hackathons, bringing together 600 international talents to work on industry case studies.

A first test post to verify the blog pipeline.