Scheduling looks simple until your application needs to handle real-world constraints.
A small workforce can be managed with fixed rules and manual adjustments. But once you start dealing with hundreds of employees, multiple shifts, skill requirements, leave requests, labor regulations, and changing business priorities, traditional scheduling logic quickly becomes difficult to maintain.
This is where optimization engines become valuable.
Recently, while exploring Timefold scheduling solutions, we encountered a common challenge: generating optimized employee schedules while balancing dozens of competing constraints.
This article walks through how we approached workforce scheduling using Timefold, the decisions we made during implementation, and the trade-offs worth considering before you start building.
