Current Situation
Hospitality organizations have relied heavily on monitored/recorded video to identify and pursue theft inside physical premises or rely on register till counts, which might not happen until end of shift or end of day.
Goals and Objectives
Proactively reduce risk and loss by applying a variety of risk assessment and loss prevention measures that quickly identify potential sources of risk and loss, enabling preventive action; similarly, automate the process of compiling evidence of crime, risks, and so forth as necessary to drive self-improving processes and actions.
Technology Deployed
Video, content analytics, AI/cognitive analytics, machine learning, loss prevention systems, IoT, facial recognition, and biometrics
Use Case Summary
Augmented loss prevention proactively reduces risk and loss by applying a variety of risk assessment and loss prevention measures that quickly identify potential sources of risk and loss, enabling preventive action, automating the process of compiling evidence of crime and risks, and driving self-improving processes and actions.