Mobile Workforce Planning & Forecasting Software

Predict mobile workforce planning and inventory amounts and learn how they are interrelated to foresee bottlenecks and improve performance. The Forecast tool uses a time series algorithm to predict future values based on trends in existing time series data. Mobile workforce planning can forecast what annual workload will be will be two years from now, based on the current conditions and other factors in your data. The time series model can predict trends based only on the original dataset that is used to create the model. You can also add new data to the model when you make a prediction and automatically incorporate the new data in the trend analysis.

This algorithm can detect seasonality in data at multiple levels. For example, your data might contain monthly cycles nested within yearly cycles. To detect these seasonal cycles, you can either provide a periodicity hint or specify that the algorithm should automatically detect periodicity.