OMB Individually Reported
Property and Procurement Analytics
Low riskExact public inventory row
Description
The need to expand analytics within the Integrated Logistics Management System (ILMS) through development of a machine learning model for detecting patterns of potential anomalous activity in property and procurement.
Detailed example
Detection of anomalous activities within the Integrated Logistics Management System (ILMS).
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The identification and reduction of anomalous procurement activity in overseas posts.
Controls / human review
ATO: Not reported; PIA: Not published