supply_chain · logistics · workflow
Air Mobility Command uses Coupa algorithm powered by LLamasoft to dramatically improve aircraft demand forecast accuracy within two weeks
Air Mobility Command relied on manual, inefficient forecasting methods for aircraft demand that were increasingly inaccurate and unable to adapt quickly enough, causing delays, shortages, loss of resources, and difficulty making timely decisions about cargo needs.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Manual forecasting identified as failing
Air Mobility Command was using manual, inefficient forecasting methods that were increasingly inaccurate.
Tools used
Coupa Demand ModelingCoupa Supply Chain Demand & PlanningLLamasoft
Outcome
Within two weeks of implementing Coupa Demand Modeling, demand forecasts became much more accurate and dependable, scenario analysis now delivers answers in minutes, and the command can make agile decisions as far out as a year in the future.
Results
Time savedwithin two weeks
VolumeBoosted accuracy dramatically
Grounding & classification
Source type: vendor customer story
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forecastingpredictive analyticsmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedpublic safety defenseaccuracy improvementcycle time reductionvendor customer storysupply chain