OMB Individually Reported
Marketplace: AI Supported Bookings & Space Stacking
Exact public inventory row
Description
The use case is intended to solve the problem of inefficient real estate resource management within federal agencies. It aims to optimize workspace utilization by providing smart recommendations for seating arrangements and space allocation, thereby reducing friction in the reservation process, minimizing unused space, and enabling data-informed decisions for space consolidation and cost reduction.
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.
Controls / human review
ATO: Not reported; PIA: Not published