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  4. ›RFI - AI Installation Lodging Optimization

U.S. Department Of Defense·Texas

RFI - AI Installation Lodging Optimization

Closes 5/5/2026$500k – $5MRequest for Information
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Description

The Department of the Air Force is seeking feedback from companies capable of providing an AI Installation Lodging Optimization application. The application should securely integrate authoritative enterprise systems to produce accurate pattern-of-life and utilization insights, allowing planners to use natural-language querying to assess lodging capacity, building conditions, and other factors. The solution will also introduce forward-looking scenario modeling to support budget prioritization. Key features of the application include: • Secure integration with enterprise systems such as ADVANA BLADE and ENVISION • Production of accurate pattern-of-life and utilization insights • Natural-language querying to assess lodging capacity, building conditions, and other factors • Forward-looking scenario modeling to support budget prioritization • Ability to provide faster assessments, smarter deployment planning, quicker decision-making, and better funding alignment with installation requirements and emerging bed down needs

Attached files

Contact

Drew Yanez(Contract Specialist)

[email protected]

Key dates

Opened
5/4/2026
Closes
5/5/2026

Last updated

Details

Type
Request for Information
Industry
Information Technology and Software Development
NAICS
541519
Solicitation №
FA805226X0001

Budget estimate

$500,000 – $5,000,000

The budget for this opportunity is difficult to estimate because the document does not provide a specific value or range. However, based on the complexity of the application being sought and the fact that it is a federal government contract, the budget could potentially be in the range of $500,000 to $5,000,000. This estimate is based on the assumption that the application will require significant development and integration efforts, and that the government will be willing to pay a premium for a high-quality solution. Factors that may influence the likely payment range include the level of competition for the contract, the complexity of the application, and the government's budget for the project.

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