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AI-Assisted Supply Chain Analytics & Knowledge Graph Development

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract focuses on the development and implementation of AI-assisted analytics for prime contractors supporting Air Force Life Cycle Management Center supply chain projects. The primary objective is to build an AI-driven analytics engine and visualization tool utilizing machine learning models and knowledge graph databases. These tools will be used to identify supply chain bottlenecks, pinpoint single points of failure, visualize complex supplier dependencies, and conduct AI-assisted risk assessments regarding foreign influence. Managed under the Department of Defense Weapons agency, the project falls under NAICS code 541511. The performance of the contract is centered in zip code 32548. Interested parties should note the response deadline of November 16, 2026, for this specialized technical effort involving advanced AI/ML frameworks.

General Info

NAICS

541511 - Custom Computer Programming Services

Place of Performance

FL, 32548, USA

Set-Aside

NONE

Documents

This scope was carved out of EB-27-102926.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Industry Day Announcement Supply Chain Illumination

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Organization & Contact Information

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AgencyDepartment Of Defense → Weapons
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops and implements AI-assisted analytics for prime contractors on Air Force Life Cycle Management Center supply chain projects. Develops ML models to identify bottlenecks and single points of failure, creates knowledge graphs to visualize supplier dependencies, and implements AI-assisted risk assessments for foreign influence. Uses AI/ML frameworks and Knowledge Graph databases. Delivers an AI-driven analytics engine and visualization tool.

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Same NAICS industry code

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NAICS: 541614
New
Federal
Industry Day Announcement Supply Chain Illumination
Solicitation # EB-27-102926
The Air Force Life Cycle Management Center, Armament Directorate (AFLCMC/EB) is conducting market research to identify a secure, scalable, AI-assisted federated data capability for supply chain illumination. The objective is to establish end-to-end visibility of critical munition supply chains, mapping from end items down to raw material origins across all subcontractor tiers. This capability is intended to identify risks such as bottlenecks, single points of failure, and foreign influence while providing near-real-time situational awareness through APIs and AI-assisted analytics, including machine learning and knowledge graphs. The initial focus will be on the Long-Range Weapons, Affordable Munition, and Adaptive Weapons portfolios, with the goal of integrating existing government, Service, and contractor data sources without replacing established systems. This initiative is currently in the pre-solicitation phase, as indicated by the informative posting for a virtual Industry Day scheduled for December 15, 2026. The announcement is not a Request for Proposal or a commitment to procure services but serves to gather industry feedback and identify mature commercial solutions. Interested contractors must register by November 16, 2026, by submitting company and attendee details to David Sanders. Following the Industry Day, the government may pursue further engagement through Requests for Information, white papers, or one-on-one live demonstrations to evaluate predictive analytics and risk assessment capabilities. Primary points of contact for this effort are Bryant Callahan and Patricia Chisholm.
Process, Physical Distribution, and Logistics Consulting Services

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about 13 hours ago

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in 18 days
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