Inventory Replenishment Forecast
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 offers limited strategic value and low decision leverage across the enterprise. It proactively predict whether vendors will deliver their items by the date promised in the contract.
- Start date
- 2023-09-15 (day precision)Source: 9/15/2023
- 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 reduce supply chain disruptions by forecasting vendor performance and item stockouts. It enables proactive sourcing decisions, improves inventory planning, and strengthens operational readiness.
Expected benefits
Inventory Replenishment Forecast model helps identify underperforming vendors and forecast item stockouts, enabling proactive sourcing, improved inventory planning, and reduced supply chain disruptions to support mission continuity.
System outputs
Inventory Replenishment Forecast model proactively predicts whether vendors will deliver their items by the date promised in the contract
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.
Potential impacts and how they were identified
Not reported