Special Topic: Predictive Sustainment, Real-Time Data
| Agency: | DEPT OF DEFENSE |
|---|---|
| State: | Texas |
| Type of Government: | Federal |
| FSC Category: |
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| NAICS Category: |
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| Posted Date: | May 20, 2026 |
| Due Date: | Jun 12, 2026 |
| Original Source: | Please Login to View Page |
| Contact information: | Please Login to View Page |
| Bid Documents: | Please Login to View Page |
Description
- Contract Opportunity Type: Special Notice (Original)
- Original Published Date: May 20, 2026 03:52 pm CDT
- Original Response Date: Jun 12, 2026 11:59 am CDT
- Inactive Policy: Manual
- Original Inactive Date: Jul 30, 2026
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Initiative:
- None
- Original Set Aside:
- Product Service Code: AJ13 - GENERAL SCIENCE & TECHNOLOGY R&D SVCS; GENERAL SCIENCE & TECHNOLOGY; EXPERIMENTAL DEVELOPMENT
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NAICS Code:
- 541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
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Place of Performance:
Austin , TX 78701USA
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).
- RTP DIVISION 800 PARK OFFICE DRIVE SUITE 4229
- RESEARCH TRIANGLE PAR , NC 27709-2211
- USA
- AAL Predictive Sustainment
- predictive-sustainment@aal.army
- May 20, 2026 03:52 pm CDTSpecial Notice (Original)
- Apr 05, 2024 10:43 am CDT Solicitation (Original)
See Also
FY 2026 - 2027 Sealed Bids for Medina County Precinct Materials Medina County
Medina County
Due by 9/25/2026
The University of Texas at Dallas Convergence Accelerator Follow Solicitation Solicitation ID: 302-1646-AE
State Government of Texas
Due by 9/17/2026
View/Download Request Request for Proposals This Request for Proposals (RFP) is issued by
Port of Harlingen
Due by 9/23/2026
Bid Number Bid Title Bid Type Organization Bid Issue Date Bid Close Date
North East Independent School District
Due by 11/30/2027