Systems and methods for predicting and identifying retail shrinkage activity

A retail shrinkage activity prediction and identification system comprising:

• a sensor control system communicatively coupled with a plurality of sensors arranged in a retail environment, the sensor control system configured to control a setting of each of the plurality of sensors;
• a first shrinkage database comprising retail shrinkage data for at least the retail environment, the retail shrinkage data comprising at least one item at high risk for shrinkage or at least one time at high risk for shrinkage activity;
• a second shrinkage database comprising external data related to shrinkage in a geographic area of the retail environment;
• an analytics engine communicatively coupled with the first shrinkage database to access the retail shrinkage data, the second shrinkage database to access the external data, and the sensor control system to receive real-time sensor data from the plurality of sensors, the analytics engine configured to:
• compare the real-time sensor data with the external data to identify a high shrinkage risk situation, and if a high shrinkage risk situation is identified, issue an alert, cause the sensor control system to alter a setting of at least one of the plurality of sensors, and update at least one of the first shrinkage database or the second shrinkage database;
• and a machine learning engine communicatively coupled with the first shrinkage database, the second shrinkage database, and the analytics engine to use the retail shrinkage data, the external data, and the issuance of an alert to conduct predictive modeling and cause the analytics engine to issue an alert if the predictive modeling determines that a high shrinkage risk situation is likely to occur.