United StatesManufacturing2024 – ongoingLockheed Martin
Proposal drafting with retrieval over previous proposals
Lockheed Martin used its proposal repository to support AI-generated drafts
Problem
Proposal writers needed to retrieve and reuse relevant work from a large internal repository.
Approach
Lockheed Martin hosted an open-source language model on DGX SuperPOD. Retrieval-augmented generation drew on earlier proposals to summarize work and draft new content.
Results
No published figures
Takeaway
The workflow reused company material, though no proposal-specific savings were disclosed.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Marketing and salesInternal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Built in-house
- Evidence
- Vendor case study
Sources
Source summaries
[1]NVIDIA2024
NVIDIA described an operating proposal-drafting application. A Lockheed Martin executive reported improved efficiency without quantifying it.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026
