One of the greatest obstacles for managers is predicting demand in correlation to staffing levels. To get ahead in the planning and production of a product or service, operation managers are required to schedule based on forecasted data. In fact, more than 70% of companies are planning on adopting scheduling management in the coming year.

Many have come to realize the financial impact that mis-scheduling, such as under or overstaffing, has on labor costs and overall worker productivity. Balancing the hard-hitting facts such as peak hours, weather, and other quantitative data, with manager's person-centric, qualitative input, is key to keeping operating expenses low and engagement high.