When it comes to planning a portfolio that has a mix of complicated factors, a planner must decide how to divvy up their time. The approach of giving equal time to all combinations is bound to fail. A good planner knows that if they have limited time, they should spend it on certain ‘exceptional’ combinations. Techniques such as segmentation, sorting, and quadrant analysis are regularly deployed by said planners.
For example, a planner might want to focus on the combinations that result in most of the forecast error. However, they might combine this data with the volume or revenue data to determine that some of these combinations are not worth worrying about. An exception-driven demand planning process will do an upfront analysis to determine where most of the effort should be applied.
In this webinar, we will cover the idea of using divide-and-conquer techniques to make demand planning more effective.
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About the Presenter: Sujit Singh
As COO of Arkieva, Sujit manages the day-to-day operations at Arkieva such as software implementations and customer relationships. He is a recognized subject matter expert in forecasting, S&OP, and inventory optimization. Sujit received a Bachelor of Technology degree in Civil Engineering from the Indian Institute of Technology, Kanpur, and an M.S. in Transportation Engineering from the University of Massachusetts. Throughout the day don’t be surprised if you find him practicing his cricket technique before a meeting.