Development of a footfall forecasting algorithm for school canteens

• Use of varied data: weather, timetables, pupils’ preference for menus, historical footfall
• Integration of the algorithm into Turboself 4 software
• Implementation of a continuous improvement pipeline for the algorithm as new data becomes available

• Development of an algorithm to forecast the number of viewers in a cinema auditorium for a given screening, based on performance history, day and time of the session, film popularity, etc.
• Use of these forecasts to create an algorithm optimising an exhibitor’s weekly programming grid, maximising box‑office revenue while respecting programming constraints imposed by distributors
• Deployment of the solution as a web application with more than 15 cinema exhibitors

Maintenance and evolution of the algorithm dedicated to financial advice when building a portfolio of equities and money‑market funds.

• Verification of customer‑provided data to recommend a portfolio of financial products aligned with their expectations
• Algorithm optimisation to meet expected benchmarks
• Continuous maintenance and improvement of monitoring tools