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

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

ID: AF25D-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.dodsbirsttr.mil/topics-app/

Additional Information

https://www.dodsbirsttr.mil/topics-app/

Timeline

Description

The Department of Defense (DoD), specifically the United States Air Force (USAF), 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, resilience, and responsiveness of the Department of the Air Force (DAF) supply chain through advanced predictive analytics and machine learning technologies, addressing critical supply chain challenges such as demand forecasting, disruption prediction, and resource optimization. This initiative is crucial for ensuring mission readiness and national security, with a comprehensive work plan that includes needs assessment, data integration, platform development, and user training. The solicitation is set to open on May 28, 2025, with proposals due by June 25, 2025. Interested parties can find more information and submit proposals through the official DoD SBIR/STTR website.

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