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U.S. Department Of Commerce·Maryland

Manufacturing Data Analysis and Modeling Tools

Closes 8/7/2026$100k – $500kRequest for Quotation
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Description

The National Institute of Standards and Technology's (NIST's) Manufacturing Extension Partnership (NIST MEP) is seeking a manufacturing data analysis and modeling tool or service to support the MEP National Network’s data-driven approach to enhancing the competitiveness and productivity of U.S. manufacturers and improving U.S. manufacturing. The tool/service should provide a web-based platform that can be accessed via a site license, with flexibility in industry and geographical detail, and should include features such as data updates, customizable reports, and customer support. The contract will be for a one-year base period with a one-year option period. Some key features of the tool/service include: • A web-based platform with site license access • Flexibility in industry detail (3-6 digit NAICS codes) and geographical detail (national, state, county) • Customizable reports and data outputs • Data updates at least twice per year • Customer support, including a dedicated client relationship manager and training sessions The tool/service should also provide features such as thematic maps, customizable industries and occupations, and customizable geographies.

Attached files

Contact

Robert Singman(Contracting Officer)

[email protected]

(301) 975-6388

Key dates

Opened
7/24/2026
Questions due
7/28/2026
Closes
8/7/2026
Duration
1 year

Last updated

Details

Type
Request for Quotation
Industry
Information Technology and Software Development
NAICS
513210
Solicitation №
1333ND26QNB480368

Budget estimate

$100,000 – $500,000

The budget for this opportunity is likely to be in the range of $100,000 to $500,000, based on the description of the tool/service and the contract period. The exact budget will depend on the pricing quoted by the contractor and the final contract award. Factors that may influence the budget include the level of customization required, the frequency of data updates, and the level of customer support provided.

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