ONHS Report: SP4701-23-B-0001

DLA Research and Development; Acquisition Modernization Technology Research (AMTR) SP4701-23-B-0001

Solicitation ID: SP4701-23-B-0001

Agency: DLA/R&D

Type: Combined Synopsis/Solicitation

Deadline: 2028-05-29T23:59:00 ET

Eligibility: Maybe (Unspecified)

Funding: Up to $50 million per year for 5 years (Fiscal Years 2024-2029)

Doc Type: BAA/IDIQ

Clearance: CUI

Program Manager: Nicholas.Rossi@dla.mil

Last Updated: 2025-11-24 13:04

Analyzed File: AMTR_BAA_FINAL_30MAY2023.pdf (with AMTR BAA Amendment 2.pdf)

Eligibility Reasoning

Eligibility for an AMTR contract requires prospective offerors to meet the minimum standards of responsibility set forth in Part 9 of the Federal Acquisition Regulation (FAR).

Note: This is an AI-generated summary...

Summary

The Defense Logistics Agency (DLA) seeks research and development proposals via this Broad Agency Announcement (BAA) for its Acquisition Modernization Technology Research (AMTR) program. The goal is to modernize DLA's acquisition and supply chain processes using information technology. This five-year BAA, with a planned investment of up to $25 million annually, aims to award multiple cost-type Indefinite Delivery, Indefinite Quantity (IDIQ) contracts. Key strategic focus areas include enterprise IT modernization, data management and analytics, secure supply chain technologies, market intelligence, and applying emerging technologies like AI/ML, RPA, and blockchain. The BAA features a two-phase submission process: an initial 180-day window for full proposals to be considered for an IDIQ award, followed by a re-opening where vendors can submit shorter White Papers for potential project-specific contracts. An amendment has redirected all proposal and White Paper submissions from the PIEE system to specific email addresses.

Overall Technical Areas

Artificial Intelligence (AI)Machine Learning (ML)Robotic Process Automation (RPA)Blockchain TechnologyDigital EngineeringEnterprise IT ModernizationPredictive Data AnalyticsProcurement Forecast AccuracySupply Chain SecuritySupply Chain Risk AnalysisFraud Detection TechnologyeCommerce SolutionsMarket Intelligence SystemsAI-Assisted LearningData-Driven Decision Tools

Probable LBNL Areas

BSACSAETALD

Focus Areas

Example Priorities:

Improve acquisition capabilities through an accessible, secure and integrated approach.
Specific examples include a DLA unified employee dashboard, automating contract management for short term contracts etc.
Automate repetitive tasks and free DLA’s acquisition workforce to focus on higher-level tasks by investing in new technologies such as Robotic Process Automation, Artificial Intelligence (AI) and Machine Learning (ML), Digital Engineering/Block-chain, etc.

Specific Technical Skills:

Robotic Process Automation (RPA)Artificial Intelligence (AI)Machine Learning (ML)Digital EngineeringBlockchainEnterprise IT ModernizationSystem IntegrationProcess AutomationDashboard DevelopmentSecure Systems Design

Potential PIs for this Area:

Name	Score	Organization
Gazi Mahmud	0.72	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Oluwamayowa Amusat	0.70	CSA \| SciData \| Data Science Applications
Rohan Adwankar	0.69	BSA \| Biological Systems & Engineering \| Process Engr & Analytics
Sy-Toan Ngo	0.69	CSA \| SciData \| Data Science Applications
Alexander Sim	0.69	CSA \| SciData \| Data Science Research
Ana Comesana	0.69	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Marco Pritoni	0.69	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Edward Bethel	0.68	CSA \| SciData \| Data Science Research
Anand Krishnan Prakash	0.68	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
John Wu	0.68	CSA \| Scientific Networking (ESNET) \| Tech Adv and Engagement

Example Priorities:

Enhance compatibility, timeliness, and usability of DLA data.
Examples include tools to improve source selection outcomes, analytics to enhance procurement forecast accuracy, etc.
Better leverage DLA’s MI capability holistically to improve business decision-making and minimize supplier risk.
Examples include creating a standard method for using MI to inform acquisition decision-making and training the KSA on MI use.

Specific Technical Skills:

Data AnalyticsMarket Intelligence (MI)Business Intelligence (BI)Predictive AnalyticsProcurement ForecastingData-Driven Decision MakingSupplier Risk AssessmentData UsabilitySource Selection ToolsData Standardization

Potential PIs for this Area:

Name	Score	Organization
Margaret Taylor	0.70	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Meenakshi Venkatraman	0.69	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Alex Newkirk	0.69	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Gazi Mahmud	0.69	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Nica Campbell	0.69	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Sunhee Baik	0.69	ETA \| Energy Analysis & Environmental Impacts \| Energy Markets & Policy
Ana Comesana	0.69	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Julie Mulvaney Kemp	0.69	ETA \| Energy Analysis & Environmental Impacts \| Energy Markets & Policy
Marco Pritoni	0.68	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
C. Anna Spurlock	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept

Example Priorities:

Improve DLA’s supplier relationships by taking innovative steps and deploying new tools and methods to improve supplier vetting, including supply chain security and fraud detection.
Examples include improving risk data accessibility, mapping of supply chain sub-tier suppliers, etc.
Increases supplier engagement in innovation through out DLA’s entire supply chain.
Examples include enhancing bid notice discussions, advancing digital negotiation documents, finding ways to improve the vendor experience, investigating alternative vendor pools...

Specific Technical Skills:

Supply Chain ManagementSupplier Relationship Management (SRM)Supply Chain SecurityFraud DetectionSupplier VettingIndustry EngagementDigital NegotiationAgile MethodologiesRisk Data AnalysisInnovation Management

Potential PIs for this Area:

Name	Score	Organization
Thomas Hendrickson	0.69	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Nica Campbell	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Margaret Taylor	0.68	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Alex Newkirk	0.67	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Susan Shaheen	0.67	ETA \| Energy Analysis & Environmental Impacts \| Energy Analysis Env Impac
Gazi Mahmud	0.67	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Sunhee Baik	0.66	ETA \| Energy Analysis & Environmental Impacts \| Energy Markets & Policy
Alexandre Moreira da Silva	0.66	ETA \| ESDR \| Energy Storage & Dist Dpt
Nihan Karali	0.66	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Drew Paine	0.65	CSA \| SciData \| Data Science Applications

Example Priorities:

Enhance acquisition processes and contracting practices to improve Quality, performance, and Warfighter support.
Examples include implementing eCommerce solutions, increasing the ease of best-value decision-making, improving DLA’s response to customer demands, streamlining source-selection alternatives...
applying more predictive and pro-active technologies and methods (especially for low-demand or infrequent parts), etc.

Specific Technical Skills:

Process InnovationAcquisition ModernizationeCommerce SolutionsBest-Value AnalysisDecision Support SystemsSource SelectionIntellectual Property ManagementPredictive TechnologiesContracting PracticesDemand Forecasting

Potential PIs for this Area:

Name	Score	Organization
Margaret Taylor	0.69	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Thomas Hendrickson	0.69	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Nica Campbell	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Sunhee Baik	0.68	ETA \| Energy Analysis & Environmental Impacts \| Energy Markets & Policy
Gazi Mahmud	0.67	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Natalie Popovich	0.67	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Alex Newkirk	0.67	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Jennifer Stokes-Draut	0.67	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Meenakshi Venkatraman	0.67	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Nihan Karali	0.67	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept

Example Priorities:

Enhance KSA (knowledge, skills, and abilities) through improved and standardized training, development, and deployment to meet current and future DLA needs.
Examples include AI-assisted learning, advanced training management, etc.

Specific Technical Skills:

Workforce DevelopmentKnowledge ManagementSkills Assessment (KSA)AI-Assisted LearningTraining Management SystemsTalent DevelopmentStandardized TrainingCompetency ModelingHuman Capital Management

Potential PIs for this Area:

Name	Score	Organization
Laleh Cote'	0.72	LD \| LD \| Internships Office
Drew Paine	0.69	CSA \| SciData \| Data Science Applications
Gazi Mahmud	0.69	BSA \| Environmental Genomics & Systems Biology \| Molecular Ecosystems Bio
Ling Jin	0.68	ETA \| Energy Analysis & Environmental Impacts \| Sustainable Energy Dept
Han Li	0.68	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Jean Luca Bez	0.68	CSA \| SciData \| Data Science Research
Anand Krishnan Prakash	0.67	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept
Unique Karki	0.67	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Ana Comesana	0.67	ETA \| Building Technology & Urban Systems \| Bldg & Industrial App Dpt
Tianzhen Hong	0.67	ETA \| Building Technology & Urban Systems \| Bldg Technologies Dept

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

Name	Score	Organization
Thomas Hendrickson	0.79	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Supply Chain Risk Analysis
Talita Perciano Costa Leite	0.74	CSA \| SciData \| Data Science Research · Machine Learning (ML)
Nica Campbell	0.74	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Supply Chain Security
Yuting Chen	0.74	ETA \| Energy Analysis \| Energy Efficiency Studies · Data-Driven Decision Tools
Adam Rupe	0.74	CSA \| NERSC \| Sci Eng & Workflows Department · Machine Learning (ML)
Satyarth Praveen	0.74	CSA \| SciData \| Data Science Applications · Market Intelligence Systems
Anna Giannakou	0.74	CSA \| SciData \| Data Science Applications · Artificial Intelligence (AI)
Michael Mahoney	0.73	CSA \| SciData \| Data Science Research · Predictive Data Analytics
Zachary Needell	0.73	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Digital Engineering
Gregory Lemieux	0.73	EESA \| CESD \| Earth System Sciences · eCommerce Solutions

Fundamental Research Exemption (FRE)

Not Mentioned