C/hca, Inc.

Megan McGee

Edmund Stephen Jackson

Janet McCallister

Thomas Neal Payne

Erica Williams

James E Hicks

Randy Scott Fagin

Dan Nguyen

Sarah Dhane

Tara Haines

Christopher Anthony

George Tucker

Chigger Bynum

Scott Murray

Heather Fuller

Hannah Marshall

Brooke Hamilton

Approaches are provided for a prediction model determining a prediction indicative of the authorized user being associated with at least one anomaly event. In one example, a computer system may receive data from different sources. For example, the system may receive data associated with use of one or more monitored units of an automated storage and retrieval location. The system may also receive request data associated with a request for execution of the monitored controlled unit by an authorized user to a target user. The prediction model of the system may utilize the received data to determine the prediction that the authorized user is associated with at least one anomaly event associated with a diversion of a monitored unit away from the target user. The system may then provide the prediction for presentation.

Utilizing predictive modeling to identify anomaly events

Growing community of inventors

Nashville, TN, United States of America

Megan McGee