Air Mobility Command Credits Coupa Algorithm For Forecast Accuracy
Air Mobility Command formerly depended on heavily manual processes to forecast demand for aircraft, but within two weeks of implementing Coupa Demand Modeling, their demand forecasts became much more accurate and dependable for making decisions as far out as a year in the future.
Value as a Service
To More Accurate Demand Forecasting
Value in Terms of Timing, Satisfaction, and Comfort of Troops Affected
Number of More Accurate Forecasts Coupa Helps Make
Were using manual, inefficient forecasting methods.
Forecasting demand for aircraft was less and less accurate and couldn’t adapt quickly enough.
Difficulty making decisions regarding cargo demand needs.
Loss of time and resources due to ineffective projections.
Incorrect forecasts led to numerous delays, shortages, and ensuing frustration of personnel.
Implemented Coupa Supply Chain Demand & Planning
Immediately analyzed a decade's worth of data (demand, deployment, and global military movement)
Coupa algorithm (powered by LLamasoft) identified demand drivers in order to predict future demand more accurately
Boosted accuracy dramatically within two weeks of implementation.
Much better understanding of the factors that influence demand.
Rapid, data-driven scenario analysis provides answers in minutes.
Allows agile decision-making at a moment's notice to meet long-term demand.