Abstract
Today’s supply chain planning processes are inside-out. The focus is on using enterprise data. The use of channel, logistics, and supplier data is an opportunity to reduce process and data latency. In this report, we share insights based on testing and work with business and technology leaders to redefine planning to be outside-in to maximize the use of market data. The testing shows that an outside-in process improves Forecast Value Added (FVA) by 10%, removes signal balance, and improves the time to know by 150%. In this report, we share thoughts on the definition of an outside-in model.
