DataRobot Case Studies 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

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	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 DataRobot

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

DataRobot

Technology Category	Analytics & Modeling - Machine Learning
Applicable Industries	National Security & Defense
Applicable Functions	Procurement
Use Cases	Predictive Waste Reduction
Services	Data Science Services
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Applicable Industries

National Security & Defense

Applicable Functions

Procurement

Use Cases

Predictive Waste Reduction

Services

Data Science Services

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.

About 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.

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.

Impact #1	The U.S. Army was able to deobligate and reallocate $2.2B from expiring Army contracts since July 2020.
Impact #2	The AI solution set a foundation to build and deploy more financial models and tools.
Impact #3	The solution slashed thousands of staff hours by automating the deobligation process.

Impact #1

The U.S. Army was able to deobligate and reallocate $2.2B from expiring Army contracts since July 2020.

Impact #2

The AI solution set a foundation to build and deploy more financial models and tools.

Impact #3

The solution slashed thousands of staff hours by automating the deobligation process.

Benefit #1	Deobligated and reallocated $2.2B from expiring Army contracts since July 2020.
Benefit #2	Saved thousands of staff hours by automating the deobligation process.
Benefit #3	Scaled the solution to over 1,500 users.

Benefit #1

Deobligated and reallocated $2.2B from expiring Army contracts since July 2020.

Benefit #2

Saved thousands of staff hours by automating the deobligation process.

Benefit #3

Scaled the solution to over 1,500 users.

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Overview

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

Operational Impact

Quantitative Benefit