Project LOI
$7.5MFY2027 request ▼ 36%Logistics Operations Innovation
FY2025 actual$8.6M
FY2026 enacted$11.9M
FY2027 request$7.5M
FY2027 Request
$18.8M
▼ 21% vs FY2026
FY2026 Enacted
$23.6M
▲ 32% vs FY2025
FY2025 Actual
$17.9M
Prior year
Roll-up of 3 projects. Projects are the summable leaves — the PE total is their sum, never added to it.
For fiscal year 2027, Defense-Wide agencies are requesting $18.8M for Logistics Research and Development Technology (Log R&D) under RDT&E program element 0603712S, down 21% from FY2026.
Funding trajectory
Funding profile, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure.
Actual Enacted Request Outyear (FYDP)
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 17.9 |
| FY2026 | Enacted | 23.6 |
| FY2027 | Request | 18.8 |
| FY2028 | Outyear | 19.2 |
| FY2029 | Outyear | 19.6 |
| FY2030 | Outyear | 20.0 |
| FY2031 | Outyear | 20.4 |
Where it sits
Acquisition lifecycle
This program is funded in RDT&E Budget Activity 3 — Advanced Technology Development.
Complete
Research
BA 1–2
Current
Advanced Technology
BA 3
Later
Prototyping
BA 4
Later
Development & Fielding
BA 5–7
Inside the program element
3 projects roll up into PE 0603712S
Projects are the summable leaves — the PE total is their sum, never added to it. Program elements and projects carry the full five-year plan; activities stop at the budget year. This PE moves -21% overall, which can hide much larger swings below.
Project SWM
$7.4MFY2027 request ▼ 5%Smart-Warehouse Modernization
FY2025 actual$5.4M
FY2026 enacted$7.8M
FY2027 request$7.4M
Project PAM
$3.9MFY2027 request ▼ 4%Predictive Analytics / Modeling & Simulation
FY2025 actual$3.8M
FY2026 enacted$4.0M
FY2027 request$3.9M
Congressional action
Congressional marks
Committee marks on the FY2027 request. Adds and cuts are reconciled in conference before they become law.
RequestPresident's Budget
$18.8M
House NDAA (HASC)HASC
$18.8M full · +$0
Senate NDAA (SASC)SASC
$18.8M full · +$0
House Approps (HAC-D)HAC_D
$18.8M full · +$0
unresolved as of 2026-07-27. These are FY2027 authorization marks (NDAA); appropriations and the conference agreement may differ.
Program detail
Mission & acquisition strategy
The Defense Logistics Agency (DLA) is responsible for providing the Military Services, other Federal Agencies, as well as combined and allied forces, the full spectrum of logistics, acquisition and technical services. DLA acquires, manages and provides virtually 100 percent of the consumable items the military services need to operate – including food, uniforms, fuel and energy, medical supplies, construction and barrier materials, equipment, and more than 85 percent of the military’s spare parts. DLA also provides logistics related services such as logistics information data management, the reutilization of military equipment, as well as document automation and production services.
Project LOI, SWM, PAM — Logistics Operations Innovation
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Answers are generated from the figures on this page — the FY2027 justification exhibits and the marks tracked above — and nothing else is consulted. Confirm any figure against the cited exhibit before you use it externally.
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Questions this page can answer
How does the FY2027 request compare with FY2026, and what does the five-year plan show?What did the FY2027 NDAA committees do to this request?Which project inside PE 0603712S is growing fastest, and which is shrinking?In plain terms, what is this program element for and how is it being acquired?
This page carries the budget justification and the NDAA marks — nothing else. For what a contractor has actually been obligated, the ledger is at hitchintel.com/vendors; for live solicitations, hitchintel.com/opportunities. Both are member surfaces.
Provenance
Cite this page
Sources
FY2027 Office of the Secretary of Defense RDT&E Budget Justification · Exhibits R-2 / R-3 · PE 0603712S (President's Budget PB2027) — and FY2027 NDAA committee marks, as tracked 2026-07-27.
Suggested citation
HitchAI, "Logistics Research and Development Technology (Log R&D) (PE 0603712S)," federal budget intelligence, PB2027 vintage. hitchintel.com/programs/0603712S
Machine access
Markdown twin
/programs/0603712S.md · MCP mcp.hitchintel.com → budget_get_program_element, budget_get_cong_marksFY2027 Request
$7.5M
▼ 36% vs FY2026
FY2026 Enacted
$11.9M
▲ 38% vs FY2025
FY2025 Actual
$8.6M
Prior year
Logistics Operations Innovation — one RDT&E project inside PE 0603712S. Congressional marks are recorded on the program element, not on a project.
Project LOI — Logistics Operations Innovation — requests $7.5M in FY2027, 40% of the $18.8M requested for program element 0603712S. Year over year it falls 36% against FY2026.
Funding trajectory
Project LOI funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
Actual Enacted Request Outyear (FYDP)
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 8.6 |
| FY2026 | Enacted | 11.9 |
| FY2027 | Request | 7.5 |
| FY2028 | Outyear | 7.3 |
| FY2029 | Outyear | 7.4 |
| FY2030 | Outyear | 7.6 |
| FY2031 | Outyear | 7.7 |
Inside the project
1 accomplishment / planned program
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
Logistics Operations Innovation Line of Effort (R&D LOE 4)▼ 4%
FY2025 actual$8.6M
FY2026 enacted$7.9M
FY2027 request$7.5M
FY2027 planned work The Energy Readiness Program (ERP) will continue to work with DLA Energy Service customers to improve specifications and standards for fuel quality, engage in modeling and simulation of the energy supply chain and identifying alternative energy. ERP will also focus on determining R&D solutions for ongoing issues affecting fuel and fuel additive quality and operational requirements (e.g., thermal stability, storage stability, ignition capability). The program will continue to assist the military services in the qualification and certification of alternative fuels to meet military specification requirements; adjustments to similar FY 25/26 efforts in this area will be made in accordance to…
FY2026 to FY2027 change Decrease in FY27 due to reprioritization of requirements.
FY2026 plans — current year The Energy Readiness Program (ERP) will continue working with DLA Energy Service customers to improve specifications and standards for fuel quality, engage in modeling and simulation of the energy supply chain and identifying alternative energy. ERP will also focus on determining R&D solutions for ongoing issues affecting fuel and fuel additive quality and operational requirements (e.g., thermal stability, storage stability, ignition capability). The program will continue to assist the military services in the qualification and certification of alternative fuels to meet military specification requirements; adjustments to similar FY 25/26 efforts in this area will be made in accordance to…
FY2025 accomplishments The Energy Readiness Program (ERP) will continue to working with DLA Energy Service customers to improve specifications and standards for fuel quality, engage in modeling and simulation of the energy supply chain and identifying alternative energy. ERP will also focus on determining R&D solutions for ongoing issues affecting fuel and fuel additive quality and operational requirements (e.g., thermal stability, storage stability, ignition capability). The program will continue to assist the military services in the qualification and certification of alternative fuels to meet military specification requirements; this will be in alignment with the current Administration’s goals addressing…
Project detail
What project LOI buys
The Logistics Operations Innovation Line of Effort (LOE) seeks to improve DLA supply chain performance and security through the integration of advanced technology and innovative processes into daily business operations. Research in these areas drive improvements to internal costs, reduce award delays, and improve material availability, supply chain security, and logistical planning. This will be accomplished using artificial intelligence/machine learning, block-chain technology, and research of emerging commercial best practices and technologies. In addition, out of cycle emergent technologies across all DLA supply chains and logistics processes are resourced in a timely manner without disrupting ongoing projects by funds reallocation. The objectives for this LOE include: 1. Secure supply chains: Improvements to the DoW Class III Bulk Fuel Petroleum, Oil and Lubricants supply system. - New or improved analytical methods to determine product quality or identify anomalies - Renewable energy technologies for military and government use - Enhanced military adoption and use of fuel products derived from petroleum alternatives 2. Technical Solutions for anti-counterfeiting detection: innovative solutions to prevent counterfeit parts in the logistical supply chain. - Reduced supply chain vulnerabilities through low-cost anti-counterfeiting solutions 3.
FY2027 Request
$7.4M
▼ 4.7% vs FY2026
FY2026 Enacted
$7.8M
▲ 43% vs FY2025
FY2025 Actual
$5.4M
Prior year
Smart-Warehouse Modernization — one RDT&E project inside PE 0603712S. Congressional marks are recorded on the program element, not on a project.
Project SWM — Smart-Warehouse Modernization — requests $7.4M in FY2027, 39% of the $18.8M requested for program element 0603712S. Year over year it falls 4.7% against FY2026.
Funding trajectory
Project SWM funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
Actual Enacted Request Outyear (FYDP)
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 5.4 |
| FY2026 | Enacted | 7.8 |
| FY2027 | Request | 7.4 |
| FY2028 | Outyear | 8.0 |
| FY2029 | Outyear | 8.1 |
| FY2030 | Outyear | 8.2 |
| FY2031 | Outyear | 8.4 |
Inside the project
1 accomplishment / planned program
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
Smart Warehouse Modernization Line of Effort (R&D LOE 5)▼ 5%
FY2025 actual$5.4M
FY2026 enacted$7.8M
FY2027 request$7.4M
FY2027 planned work Continued research and exploration of Automated Material Distribution and Asset Visibility for Distribution and Automated Human Machine Teaming and Reclamation (Circular Economy) for Disposition.
FY2026 to FY2027 change Decrease due to adjustment within programs
FY2026 plans — current year Solve NFR082 through exploration of Asset Visibility tools, tactics, techniques, and procedures. Continued research and exploration of 5G, Automated Material Distribution, Augmented Reality (AR), Optical Character Recognition (OCR), and Network Optimization for Distribution, and Automated Human Machine Teaming and Reclamation (Circular Economy) for Disposition.
FY2025 accomplishments The Strategic Distribution and Disposition (SDD) program will continue to provide applied research, analytical, and decision support to DLA Distribution and Disposition Services, and provide support to the DLA J6 Network Transformation Program (formerly Distribution Modernization Program (DMP)). SDD will continue to engage with Industry, DOD sponsored FFRDCs and UARCs leveraging subject -matter expertise in key areas of research such as 5G Networks, 5G Technologies, Sensor Internet of Things (IoT), Blockchain, Quantum Computing, Artificial Intelligence/ Machine Learning (AI/ML), Automation (Material Distribution/Human Machine Teaming), Network Optimization, Circular Economy (Reclamation)…
Project detail
What project SWM buys
The Smart Warehouse Modernization Line of Effort will assess and test cyber-secure smart-warehouse technologies to transform and modernize distribution and disposition operations. The objectives for this LOE include: 1. Increase productivity and efficiency through interconnected technologies and automation such as enhanced inventory management, materiel distribution, and asset visibility, network optimization, human machine teaming, and reclamation (circular economy). 2. Provide enhanced and cyber-secure operations. The Strategic Distribution & Disposition (SDD) Program collaborates with DLA Distribution and Disposition Services to identify legacy capabilities that are inadequate for emerging worldwide distribution and disposition requirements. A key objective of the SDD Program is to anticipate, assess, and meet the current and future Warfighter requirements by leveraging R&D to infuse innovation into solutions. Long- term objectives include mitigating the DoW Supply Chain Management high risk issues identified by the Government Accountability Office (GAO), 2018 (Inventory Management, Material Distribution and Asset Visibility).
FY2027 Request
$3.9M
▼ 3.8% vs FY2026
FY2026 Enacted
$4.0M
▲ 4.7% vs FY2025
FY2025 Actual
$3.8M
Prior year
Predictive Analytics / Modeling & Simulation — one RDT&E project inside PE 0603712S. Congressional marks are recorded on the program element, not on a project.
Project PAM — Predictive Analytics / Modeling & Simulation — requests $3.9M in FY2027, 21% of the $18.8M requested for program element 0603712S. Year over year it falls 3.8% against FY2026.
Funding trajectory
Project PAM funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
Actual Enacted Request Outyear (FYDP)
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 3.8 |
| FY2026 | Enacted | 4.0 |
| FY2027 | Request | 3.9 |
| FY2028 | Outyear | 4.0 |
| FY2029 | Outyear | 4.1 |
| FY2030 | Outyear | 4.2 |
| FY2031 | Outyear | 4.3 |
Inside the project
1 accomplishment / planned program
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
Predictive Analytics, Modeling & Simulation Line of Effort (R&D LOE 3)▼ 4%
FY2025 actual$3.8M
FY2026 enacted$4.0M
FY2027 request$3.9M
FY2027 planned work The LTR program will execute a strategic roadmap to modernize DLA's logistics enterprise and fortify supply chain resilience. The plan will prioritize the integration of advanced technologies, including predictive analytics, AI/ML, and digital twin environments, to enhance operational efficiency, cost-effectiveness, and Warfighter readiness. By embedding data-driven decision-making and robust cybersecurity into its core, the program is chartered to transform DLA's operational capabilities and secure its position as a leader in next-generation logistics solutions.
FY2026 to FY2027 change Decrease in FY27 due to reprioritization of requirements.
FY2026 plans — current year The LTR program will accelerate the operationalization of AI/ML across DLA, with a primary focus on deploying Generative AI and emergent technologies in quantum computing and edge computing to create new efficiencies. Through targeted research in digital twin technology, the program will enhance modeling, simulation, and operational effectiveness. Furthermore, by investigating quantum computing and machine learning, LTR will position DLA to capitalize on the next generation of disruptive technologies.
FY2025 accomplishments The LTR program will continue to develop more AI/ML models for Supply Chain Risk Management and Supply Chain Security. Continue to explore the integration of AI/ML within DLA to include Large Language Models (LLM), such as ChatGPT. Further efforts will also be made for the integration of Blockchain for some of DLA’s business processes, and the use of Digital Twins (Modeling and Simulation) to improve various business processes. Continue to conduct further research on new emerging technologies to safeguard and protect DLA’s supply chain, and to improve DLA’s requirements for data analytics. Continued focus on AR/VR and spatial computing to increase DLA’s use of the technology within various…
Project detail
What project PAM buys
The Predictive Analytics, Modeling & Simulation Line of Effort (PAM) includes R&D efforts within the Logistics Technology Research (LTR) program. The focus of LTR is to develop predictive analytic solutions by applying AI/ML algorithms to data obtained from DLA and external sources which can help solve high-impact problems, improve business operations, and provide actionable strategies for optimized business decisions. Through the development of decision support tools, such as modeling, simulation, and other analytics to improve operational strategy decision-making, forecasting, and procurement, DLA will achieve more effective and efficient responses to emerging market and customer requirements. The objectives for this LOE include: Leverage technological solutions for data analytics and integration for demand projections and supply chain risk management. Data analytics integration for DLA, the military services and industry allow businesses and vendors to aggregate data, analyze it, and transform it into useful information. 1. Explore emergent technologies in quantum computing and edge computing to enable advanced analytics. 2. Data analytics integration for DLA, the military services and industry allow businesses and vendors to aggregate data, analyze it, and transform it into useful information. 3. Explore emergent technologies in quantum computing and edge computing to enable advanced analytics.