Using historical schedules, demand patterns, and cost data, the students built a prototype tool that combines planning rules with an interactive dashboard. The solution provides a single overview of staffing needs, costs, and what-if scenarios, making it easier for managers to allocate staff transparently and consistently while understanding the financial implications of different planning choices.