Current Situation
Systems today have limited capabilities to be predictive and are often reactive. They don’t offer appropriate options or create frustration with incorrect next best step recommendations, creating frustration and friction.
Goals and Objectives
Advanced machine learning and AI capabilities along with computer vision and biometrics can monitor guest actions, gestures, and traffic patterns to predict and offer appropriate service and offerings to travelers along each step of the journey.
Technology Deployed
Hardware: Enterprise hardware, personal devices, module/sensors, edge computing
Software: Computer vision, AI, Generative AI, ML, biometrics, digital signage, gesture control, voice
Services: Business services, connectivity services, IT services
Use Case Summary
Predictive and responsive service enables self-service technologies and workers to leverage technology to recognize, respond to, and predict guest sentiment or actions based on visual cues or already taken actions and react proactively and predictively.