Demand sensing- is it a solution to capacity planning or near term deployment planning problem?
There are three essential things that are required to implement demand sensing capabilities. For simplicity, let’s just call them indicators of future, past and the present.
SKU level forecast (without the benefit of demand sensing) serves as an indicator of the future. Demand sensing system uses this forecast as a reference while applying its magic to make it more accurate at a less time granular level. This input forecast is generally obtained from the demand planning system and can be at a higher level of aggregation (typically weekly or monthly level of aggregation).
Shipment history serves as an indicator of the past. This is used by the demand sensing system to develop a mathematical model of the past sales pattern. The system uses this information to break down the input forecast into daily level forecast.
Open customer orders serve as the indicator of present market activities. This is one of the main inputs for the system which helps it sense the pace of the product sale, and use that information to adjust the daily level forecast generated by the demand sensing system.
What comes out at the end is a daily level forecast at the SKU DC level that benefits from the current event information contained in the customer orders. This granular forecast is then fed over to the APS systems to drive the deployment and production mix decisions.
Assuming it would take at least two months to increase capacity; demand sensing needs to be able to predict the shortage situation at least two months in advance. Since open customer orders is a key factor that drives the accuracy of the demand sensing forecast, there should be open orders at least two months out and beyond in order to obtain accuracy that is better than their existing demand planning accuracy. Given the nature of the product Nokia cells (pun intended), I am guessing their order visibility will not be beyond a week or two, which means, forecast accuracy outside of the two weeks should be similar to that of their demand planning system’s aggregate forecast. Based on the above statements, I would like to conclude that demand sensing system alone could not have helped Nokia predict the sales upturn.
Here is my general question to the experts out there- is demand sensing really a solution for capacity planning? Or is it a tool to enable better deployment and production mix planning? Your comments are welcome.