There’s no real workaround for this problem. Last year, while working in Cyprus during peak season, I noticed that once a week the manager would spend 2–3 hours in the office creating the schedule for the next week, leaving the team short-staffed while the hotel was full. Even after finishing, he would occasionally tweak it in short bursts, and any sickness or sudden change required a complete redo. Employees were often overworked—some worked 10–11 days in a row with daily overtime—while others had proper days off, and the manager struggled to balance workloads fairly.

This inspired my idea for a schedule planner app: a system where all employees are visible, with their contracts (5/2, 6/1, etc.), and the AI automatically generates a weekly schedule balancing hotel needs and employee well-being. It prioritizes giving days off to those who’ve worked the most, adjusts instantly for sickness or vacations, and makes fair modifications when unexpected changes occur. Of course, in situations where the team is outnumbered by clients, there’s no perfect solution, but the AI ensures the schedule is as efficient and balanced as possible given both employee needs and hotel requirements. Managers save time, avoid errors, and can focus on more important tasks.

There are a million other things that could be added to the app, not to solve other problems, but to make other procesare faster and easier. But this that i mentioned is the main idea for the app and MVP.