U.S. Army Increases Financial Agility with AI by Reclaiming Funds for High Priority Projects $2.2B+ in excess funds identified at a 3x higher yield
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- AutoML & MLOps
Tech Stack
- DataRobot’s Augmented Intelligence platform
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Machine Learning
Applicable Industries
- National Security & Defense
Applicable Functions
- Procurement
Use Cases
- Predictive Waste Reduction
Services
- Data Science Services
About The Customer
The customer in this case study is the U.S. Army. The U.S. Army is one of the three military departments (Army, Navy and Air Force) that make up the Department of Defense. The Army conducts operational and institutional missions around the world, typically fighting land wars and sustained land combat operations. The Army also includes other branches such as the Air Force and Marine Corps. In this case, the U.S. Army was looking for a solution to help them identify funds that were potentially going to be lost due to expiring contracts.
The Challenge
The U.S. Army was facing a challenge of identifying funds that were potentially going to be lost due to expiring contracts. They needed an innovative AI solution that could help contracting officers accurately predict the contracts most likely to underspend their funding so they could quickly deobligate and reallocate these funds to other high priority projects. The Unliquidated Obligation (ULO) project was born out of the Army’s HQ Analytics Lab (HAL) and Deep Green OBT initiatives.
The Solution
The U.S. Army leveraged DataRobot’s Augmented Intelligence platform to ensure proper governance of predictions for contracts at risk of excess funds. The platform was used to triage prioritized contracts in dashboards to empower contracting officers to reclaim funds. This was done in a highly visualized, self-managing, and sustainable environment that boosts financial agility. The AI solution was able to spot funds with the potential to be lost due to expiring contracts, empowering contracting officers to reclaim the money and reallocate it to other vital areas—boosting the deobligation rate and saving thousands of staff hours.
Operational Impact
Quantitative Benefit
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