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Analytics Agent
Learn how to find answers to your analytical questions with the Analytics Agent.
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Knowledge Agent
Learn how to find answers to your procurement-related questions with the Knowledge Agent.
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Supplier Assistance Agent
Coupa Navi™ CSP Supplier Assistance Agent assists suppliers with general questions about the Coupa Supplier Portal (CSP) based on the Compass documentation.
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$10 Trillion and Counting...
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AI
Drive smarter spend strategies with AI
The Total Spend Management Annual Benchmark Report
Drive smarter spend strategies with AI
See what exceptional performance looks like and learn how to close the gaps.
Get the Benchmark Report
$10 Trillion and Counting...
Our unique data takes our AI capabilities to the next level
Explore Coupa AI
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.
Company Overview
USAF Air Mobility Command is responsible for the daily movement of military equipment and personnel around the world.
Headquarters
Scott Air Force Base, IL
Employees
75,000+
Website
amc.af.mil/Value as a service
2 Weeks
To More Accurate Demand Forecasting
Huge
Value in Terms of Timing, Satisfaction, and Comfort of Troops Affected
42
Number of More Accurate Forecasts Coupa Helps Make
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
