How will it work? To begin, defense organizations have masses of data available. Tying that data together, and applying sophisticated statistical measures, can enable predictive analytics for supply chain management.
For example, predictive analytics can optimize demand forecasting— helping improve the picture of what will be needed when, and where, and then allowing defense organizations to plan inventory accordingly—to ensure the lowest possible inventory level that will still (above all) ensure the right level of service.
Or defense organizations can use spend analytics to drive unnecessary costs out of the supply chain—in other words, generating the insight into where and why failures occur in the supply chain and which of those failures drive the most financial and operational costs. Armed with that insight, industry can then collaborate with defense to make step-changes in how both the mission and support systems operate and perform, targeting design and support system changes that have the biggest impact.