The Future Of Readiness
AI-Enhanced Dashboards
By CPT Kyle Weinerth and Chris Lovato
Article published on: September 1, 2025 in the Army Sustainment Fall 2025 Edition
Read Time: < 2 mins
The Army Data Plan emphasizes that access to the right data, at the right time, and in the right place empowers
faster, better decisions at all echelons, enabling us to out-think and out-pace any adversary. U.S. Army
Combined Arms Support Command (CASCOM) has significantly modernized tactical sustainment analytics in fiscal
year 2025. Its Sustainment Enterprise Analytics (SEA) program has exceeded expectations in speed, accuracy, and
presentation. SEA leverages universally available Microsoft Power BI and real-time data from the Global Combat
Support System-Army (GCSS-Army) and has received strong support from Army leadership and the field. CASCOM is
further expanding its analytic capabilities exponentially through a new Microsoft Azure cloud computing and data
staging environment, operational since late July 2025.
The Azure environment com-bines 12 years of GCSS-Army transactional data with the power of cloud computing to
develop artificial intelligence (AI)-powered predictive analytics, enhancing tactical commanders’ ability to
build and sustain combat readiness. Initial efforts include predicting fleet readiness based on projected supply
conditions and maintenance resources and forecasting future demand for long-lead-time parts based on mission and
environmental factors. CASCOM collaborates with U.S. Army Forces Command, U.S. Army Special Operations Command,
Department of the Army G-4, and various division G-4s to prioritize the development of at least 10 AI models.
Furthermore, CASCOM integrates data from the Integrated Personnel and Pay System-Army and the Automated Terminal
Information Service to create a comprehensive combat power analytic tool, providing a near-real-time common
operating picture critical for tactical decision making. This immediacy is vital. While strategic decisions
benefit from broader data trends, a division commander’s decisions during large-scale combat operations (LSCO)
require current data to determine optimal courses of action.
Professional Development Opportunities
To ensure the enduring success of this effort, CASCOM is building a dedicated team of technical experts,
actively recruiting and developing talent through direct commissioning, branch transfer, the Voluntary Transfer
Incentive Program, skill identifiers, and a Master of Decision Analytics degree with Virginia Commonwealth
University.
Go to https://talent.army.mil/job/logistics/ for more information on these opportunities.
CASCOM recognizes the importance of internal expertise, moving away from sole reliance on contractors to deliver
advanced AI-driven analytics and new enterprise capabilities for future LSCO.
Authors
CPT Kyle Weinerth serves as the personnel proponency officer for the Logistics Proponency
Office at Army Sustainment University on Fort Lee, Virginia. He holds a Master of Supply Chain Management
degree from Virginia Commonwealth University. His previous assignments include commander of Fury Forward
Support Troop, 3rd Squadron, 2nd Cavalry Regiment; operations officer for the Regimental Support Squadron,
2nd Cavalry Regiment; and the executive officer for Juliet Forward Support Company, 1-8 Infantry Battalion,
3rd Armored Brigade Combat Team, 4th Infantry Division.
Chris Lovato currently serves as the assignment chief of Workforce Integration Division,
Enterprise Systems Directorate, U.S. Army Combined Arms Support Command. He is an Army veteran, a former
Quartermaster and Cavalry officer. He has completed the Civilian Education System Advanced course.