Chainalytics’ Demand Planning and Forecast Metrics can help you create a program to monitor, manage, and reduce the impact of business variability on your demand planning organization. By defining and interpreting key metrics, you will be able to uncover sub-optimal or underperforming activities and effectively evaluate your demand planning performance. Chainalytics’ approach will help you compare actual demand to forecasts and measure critical elements such as seasonality, bias, and velocity. The scope of this service can range from a one-time implementation of a performance tracking program to a recurring service.
Chainalytics’ Demand Planning and Forecast Metrics can help you improve your understanding of your demand planning performance by answering the following questions:
- How accurate are my forecasts?
- Am I accurately representing demand variability as part of my planning process?
- Where does variance occur in my planning? Why does it occur?
- Do we have the right product and customer groups or is this contributing to forecast error?
- Have we accurately accounted for product life-cycle in our forecasts?
- What is the cost penalty of particular decisions?
- How much of our planning variance is due to controllable factors? How much is due to uncontrollable factors like service requirements or environmental factors?