Rostering l Machine Learning for Efficient Workforce Planning

Rostering means allocating and scheduling labor resources as efficiently as possible. Machine learning uses historical data to forecast future needs with very high accuracy.

Orango’s package ML solution for workforce planning, Rostering, has been developed in cooperation with a research team in data analytics and machine learning. It will help you easily save money by avoiding overstaffing. Additionally, you do not have to spend time trying to calculate staffing needs manually.

Rostering, in short, offers:

Large saving potential: 5–10% of your staff and costs
Higher quality workforce planning
Highly accurate compilation of planning data that is done technologically
More room for negotiation when acquiring staff, since the planning can be done earlier
No time spent on manual calculations of staffing needs