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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
TREAS · BEP-67 · record R2773

IDV Model

Department of the Treasury · Bureau of Engraving and Printing (BEP)

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
This use case is not high-impact because it centers on long-range forecasting with uncertain accuracy and limited influence on near-term procurement decisions or enterprise outcomes. It predicts which items will require IDVs for purchasing over the next 5 years by tier level will enable better utilization of IDVs overall and enable OSCM to proactively receive the necessary funding.
Start date
2025-04-02 (day precision)Source: 4/2/2025
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Procurement and Financial Management
Operational functions
Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

This model helps forecast long-term inventory turnover to improve IDV utilization and support proactive funding requests.

Expected benefits

IDV model helps forecast long-term inventory turnover, enabling smarter IDV utilization and proactive funding alignment to support sustained mission readiness.

System outputs

IDV model predicts which items will require IDVs for purchasing over the next 5 years by tier level will enable better utilization of IDVs overall and enable OSCM to proactively receive the necessary funding.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
Not reported
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
Yes
Demographic features
k) None of the above
Training and evaluation data
Used [name(s) removed] Data
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported