Exploring Novel Machine Learning Techniques for Predictive Supply Chain Analytics within DoD and DIB
ID: AF25B-T001Type: BOTH
Overview

Topic

Exploring Novel Machine Learning Techniques for Predictive Supply Chain Analytics within DoD and DIB

Agency

Agency: DODBranch: USAF

Program

Type: STTRPhase: BOTH

Topic Link

https://www.sbir.gov/topics/11885

Additional Information

https://www.dodsbirsttr.mil/submissions/solicitation-documents/active-solicitations
Timeline
    Description

    The Department of Defense (DoD) is seeking proposals for the Small Business Innovation Research (SBIR) program focused on "Exploring Novel Machine Learning Techniques for Predictive Supply Chain Analytics within DoD and DIB." The objective is to enhance the efficiency and resilience of the Department of the Air Force (DAF) supply chain by developing advanced predictive analytics solutions that leverage machine learning models and existing knowledge graphs. This initiative is crucial for addressing critical supply chain challenges, including demand forecasting, disruption prediction, and resource optimization, ultimately ensuring mission readiness and national security. Interested parties must submit their proposals by May 21, 2025, with further details available at the provided solicitation link.

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