The US Department of War is partnering with industry and academia on an initiative to establish and demonstrate a repeatable, data-driven process for improving sustainment logistics by enhancing an AI/ML software tool with advanced mathematical algorithms.

Specific objectives of the project include:

  • Identify data quality or accessibility gaps and implement a plan that demonstrates the AI/ML tool with clean, reliable, and timely data streams.
  • Conduct iterative testing of the AI/ML tool’s predictive models against historical and real-time data. Use the results to refine the algorithms, improve forecast accuracy, and reduce prediction errors.
  • Integrate the AI/ML tool into existing workflows (e.g., work order generation, parts forecasting). Document its performance and measure its direct impact on key metrics like man-hours, costs, and asset availability.
  • Use the AI/ML tool to analyze demand history and operational requirements to generate recommendations.
  • Develop user guides and training materials.

If you feel your organization has the technical capabilities and would like to be considered for this project, please complete the form below and upload your organization’s technical capabilities statement.

Interested Submissions Due by 4/23/26.

We encourage participation of Disadvantaged Business Enterprises (DBEs), including Minority Business Enterprises (MBEs) and Women’s Business Enterprises (WBEs).

Click or drag a file to this area to upload.

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