AI-Powered Obsolescence for Product Prediction
ID: DLA242-005Type: BOTH
Overview

Topic

AI-Powered Obsolescence for Product Prediction

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2024

Topic Link

https://www.sbir.gov/node/2608945

Additional Information

https://www.defensesbirsttr.mil/SBIR-STTR/Opportunities/
Timeline
  1. 1
    Release Apr 17, 2024 12:00 AM
  2. 2
    Open May 15, 2024 12:00 AM
  3. 3
    Next Submission Due Jun 12, 2024 12:00 AM
  4. 4
    Close Jun 12, 2024 12:00 AM
Description

The Department of Defense (DOD) is seeking proposals for the topic of "AI-Powered Obsolescence for Product Prediction" as part of their Small Business Innovation Research (SBIR) program. The Defense Logistics Agency (DLA) is specifically interested in the use of AI/ML powered systems to predict obsolescence of DoD products within the DLA supply network. The goal is to leverage machine learning algorithms to analyze diverse data sources and identify equipment and support parts at risk of becoming obsolete. This proactive approach will enable informed decisions about sustainment, modernization, and lifecycle management, optimizing resource allocation and ensuring mission readiness. The project duration for Phase I is 12 months with a cost of $100,000, while Phase II has a duration of 24 months and a cost of $1,000,000. The successful proposal should include best practices, innovation, and the use of AI/ML to predict obsolescence. The project should also include plans for cyber and physical security requirements, data collection and analysis, simulation of different scenarios, and the establishment of a collaborative library of parts at risk for obsolescence. The ultimate goal is to develop a comprehensive obsolescence management program. Phase III proposals will be accepted after the completion of Phase I and II projects, with no specific funding associated. The proposal should include the delivery of a production-level product and a sustainment plan. Relevant keywords for this topic include obsolescence, artificial intelligence (AI), machine learning (ML), and commercial-off-the-shelf (COTS).

Files
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