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This Government Contract opportunity from Department Of Commerce was posted on April 29, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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The contract involves the development of AI-powered dashboards designed to provide comprehensive quality metrics for trademark examination processes. These dashboards will track key indicators such as pendency trends, refusal consistency, and the performance of examiners, aiming to enhance the analysis and reporting capabilities related to trademark quality. The project is categorized under NAICS code 541611, which pertains to administrative management and general management consulting services. This subcontract opportunity was posted by the Department of Commerce PTO on April 29, 2026, with a response deadline of May 8, 2026. The work will be performed at a location with the zip code 22314, though specific city and state details are not provided. The contract does not specify any set-aside type or particular organization types targeted, indicating an open bidding opportunity for eligible contractors. The initiative is intended to support the office’s efforts in improving operational insights and decision-making through advanced data visualization and performance tracking tools.

General Info

Develop AI dashboards tracking trademark exam quality metrics, enhancing analysis for Department of Commerce.

Agency

Department Of Commerce Pto

NAICS

541611 - Administrative Management and General Management Consulting Services View NAICS

Place of Performance

VA, 22314, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
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Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Commerce Pto
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Commerce Pto
Office AddressN/A
ContactsNo contact information available

Full Description

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Create dashboards that generate quality metrics for trademark examination, including pendency trends, refusal consistency, and examiner performance.