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USDA C3ai (placed by OCP)

Forecast

Federal

Contract Overview

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

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The USDA Departmental Administration is forecasting a project under NAICS code 541512 to enhance the risk-based decision-making capabilities of the Food Safety and Inspection Service. The initiative focuses on improving risk indicators by integrating unstructured data and real-time subject matter expert feedback, utilizing large language models to derive actionable insights from inspection narratives, compliance data, and historical records. A primary goal of the pilot is to increase inspector efficiency through the implementation of mobile tools designed to streamline data capture and minimize manual entry. This effort aims to provide FSIS personnel with more targeted intervention recommendations to improve overall operational effectiveness.

General Info

USDA project using LLMs and mobile tools to enhance FSIS risk-based decision-making.

Agency

Department of Agriculture → USDA, Departmental Administration

NAICS

541512 - Computer Systems Design Services

Place of Performance

Not specified

Set-Aside

NONE

Documents

0

No documents available

Documents will appear here when they are available.

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Timeline

PhaseForecast

PostedMay 1

forecast

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Organization & Contact Information

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AgencyDepartment of Agriculture → USDA, Departmental Administration

Contacts2 people available

OfficeN/A

Organization / AgencyDepartment of Agriculture → USDA, Departmental Administration

Office AddressN/A

Contacts

ANDREW WILLIAMS

ANDREW WILLIAMS

Full Description

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The project aims to enhance FSISs riskbased decision-making by improving the usefulness of risk indicators through expanded context from unstructured data and real-time SME feedback. It seeks to deliver more targeted and actionable intervention recommendations to FSIS personnel by leveraging LLMdriven insights from inspection narratives historical records and compliance data. The pilot is designed to increase inspector efficiency through mobile tools that streamline data capture and reduce manual entry.

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