Value as a service
Challenge
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.
Solution
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
Results
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.
“Now we get ahead of demand patterns and get answers to our leadership before they make their decisions.”
— DNald Anderson, Assistant Director of Analysis