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Special Topic: Predictive Sustainment, Real-Time Data

W6QK ACC-APG DURHAMDEPT OF DEFENSE / DEPT OF THE ARMY / W6QK ACC-APG DURHAM

Posted
May 20, 2026
Response deadline
Jun 12, 2026, 12:59 PM EDT
Due in 11 days
Value
Category
R&D — Physical, Engineering & Life Sciences
NAICS
541715
PSC / Class
AJ13
Set-aside
Place of performance
Austin, Texas
Solicitation #
Archive date
Jul 30, 2026

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Description

As Army operations become increasingly data-driven, tactical units require enhanced capabilities to capture vehicle platform data and apply it toward predictive sustainment. Telemetry data, including maintenance faults, fuel levels, potable water supplies, and ammunition counts, can drive real-time logistics calculations. By giving sustainment units real-time visibility into forward-deployed assets, the Army can ensure precise bulk distribution and maintain accurate operational status reporting. However, transmitting this real-time sustainment data from tactical vehicles to command-and-control (C2) nodes remains a challenge in degraded, disconnected, intermittent, and limited (DDIL) bandwidth environments. Current challenges associated with the transmission of data need to be addressed to enhance sustainment response times. An effective solution must overcome these DDIL constraints, equipping Commanders with the real-time data necessary to make proactive sustainment decisions, minimize Non-Mission Capable (NMC) rates, and preserve combat power. The Army Applications Laboratory (AAL) is seeking solutions that capture platform data across the battlespace. The solution will connect directly to vehicle platforms and transmit real-time data of maintenance and logistical needs to command systems. This solution will provide strategic overmatch through predictive logistics analysis and sustain combat operations in a contested environment during Large Scale Combat Operations (LSCO).