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This Government Contract opportunity from Selective Service System was posted on May 1, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Predictive Analytics and Scenario Modeling Engine

Closed
Federal

Contract Overview

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The contract involves the development of an analytical engine integrated within the DES model, aiming to facilitate advanced predictive analytics, sensitivity analysis, and scenario testing focused on staffing, resource allocation, and operational workflows. This effort is intended to enhance decision-making capabilities by providing robust modeling tools for forecasting and evaluating various operational scenarios. Issued by the Selective Service System, the subcontract falls under NAICS code 541690, which pertains to specialized scientific and technical consulting services. The contract was posted on May 1, 2026, with a response deadline of May 21, 2026. The work is to be performed in a location designated by the zip code 22209. While specific organizational or office location details and points of contact are not provided, the contract emphasizes the creation of a sophisticated analytics platform to support operational efficiency and strategic planning within the agency.

General Info

Develop analytical engine for DES model to improve staffing, resource allocation, and decision-making.

Agency

Selective Service System

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

VA, 22209, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencySelective Service System
ContactsNo contacts available
OfficeN/A
Organization / Agency
Selective Service System
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop an analytical engine within the DES model to enable predictive analytics, sensitivity analysis, and scenario testing for staffing, resource needs, and operational flows.