Opportunities/JRFA-2026-005
JRFA-2026-005Active

Autonomous & AI-Enabled Contested Logistics for Distributed Operations

JRFA / USTRANSCOM / Joint Logistics Enterprise (JLEnt)

Posted

Mar 9, 2026

Deadline

Sep 30, 2026

205

Days

:

09

Hours

Contested LogisticsAutonomous ResupplyPredictive Logistics AIINDOPACOMDistributed Maritime OperationsAgile Combat EmploymentAnti-Access/Area DenialExpeditionary ManufacturingUnmanned SystemsSupply Chain ResilienceEdge ComputingJoint All-Domain Logistics

Description

This is an Open Challenge with rolling reviews under the Joint Rapid Fielding Activity (JRFA) marketplace, sponsored in coordination with USTRANSCOM, the Defense Logistics Agency (DLA), and the Joint Logistics Enterprise. The challenge seeks mature prototype solutions—autonomous platforms, AI-driven decision aids, and distributed manufacturing capabilities—that enable sustained logistics support to distributed forces operating in contested and denied environments, with primary focus on the INDOPACOM theater.

Overall Objective

Identify, evaluate, and rapidly field autonomous and AI-enabled logistics capabilities that allow Joint Force elements to sustain distributed operations across contested multi-domain environments for a minimum of 30 days without reliable access to primary logistics nodes. Solutions must reduce the logistics footprint at the point of need, decrease dependency on contested lines of communication, and enable predictive/adaptive logistics planning under degraded communications.

Problem Statement

Today’s military logistics architecture is optimized for the permissive, infrastructure-rich environments of the last two decades of counterinsurgency and stability operations. In an INDOPACOM contingency against a peer adversary, every assumption fails. Fixed logistics nodes become priority targets. Predictable resupply patterns are exploitable. GPS and SATCOM degradation disrupts supply chain visibility. The Joint Force lacks organic autonomous delivery platforms at scale, and those in development remain at TRL 4-5 with limited integration into operational logistics C2 systems.

Desired Solution

Proposed solutions must address one or more capability areas: Autonomous Resupply Platforms (200-2,000 lb payloads, 100-500 NM range, GPS-denied nav, MIL-STD-810H), Predictive Logistics AI (edge-deployable, 15-min replanning, DIL-compatible), Distributed/Expeditionary Manufacturing (TRICON/ISO containerized, C-130J airliftable), or Logistics C2 Integration (MIL-STD-1553B, JADC2 compatible). TRL 5-7 preferred. Non-traditional defense companies explicitly welcomed.

Key Attributes

Autonomous Delivery

Payload CapacityMinimum 200 lbs useful payload; preferred 500-2,000 lbs. Must accommodate standard military packaging.
Range & Endurance100-500 NM mission radius. Minimum 4-hour endurance for loitering/holding patterns.
GPS-Denied NavigationAutonomous navigation without GPS using at least two alternative PNT methods.
Signature ManagementAcoustic, thermal, and RCS reduction appropriate for contested environment.

AI / Decision Support

Edge DeployabilityMust run on ruggedized edge hardware with no persistent cloud connectivity. Single transit case, <50 lbs.
Re-planning SpeedUpdated distribution plan within 15 minutes of disruption event.
Demand Forecasting≥80% accuracy on Class I/III/V demand prediction at 72-hour horizon.

Expeditionary Manufacturing

TransportabilityTRICON or ISO 20-ft container. C-130J airliftable. CH-47F/CH-53K slingable.
Setup TimeOperational within 4 hours by 2 personnel. No external utilities required.
Material CapabilityFunctional parts in at least two material families meeting OEM specifications.

Integration & Sustainment

CybersecurityNIST SP 800-171 Rev 2 minimum. CMMC Level 2 pathway within 12 months.
MaintainabilityMTBCF ≥500 hours. Organizational maintenance by ≤4 personnel.
ModularityOpen architecture with published interfaces for future integration.

Submission Scoring Rubric

Technical Merit & Innovation

35%
Technical Approach Soundness15%
Feasibility based on demonstrated engineering, evidence of TRL testing.
Innovation & Differentiation10%
Novelty relative to current DoW programs of record and COTS solutions.
Maturity & Readiness10%
Current TRL with evidence. Development roadmap to TRL 7.

Operational Relevance

30%
Contested Environment Suitability12%
Capability under A2/AD: GPS denial, comms degradation, EW, interdiction.
INDOPACOM Applicability10%
Pacific theater: long distances, tropical maritime, distributed operations, ACE/DMO.
Integration with Existing Systems8%
Interoperability with fielded logistics C2 and transport platforms.

Fielding & Transition

20%
Timeline to IOC8%
Credible schedule to operational capability within 24 months of award.
Sustainment Plan7%
Spares, maintenance concept, training, technical data packages.
Scalability & Producibility5%
Manufacturing capacity, supply chain resilience, domestic production.

Team & Past Performance

15%
Relevant Experience8%
Prior work in autonomous systems, AI/ML for logistics, or expeditionary manufacturing.
Team Composition4%
Key personnel, teaming arrangements, operational sponsor support.
Non-Traditional Participation3%
Small business and non-traditional defense company involvement.

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