Tracking of location and movement of people, vehicles, equipment and inventory
Collection of raw movement data and patterns for insights and optimization
Tracing and analysis of the paths taken by individuals or objects to identify common routes, detect bottlenecks, and optimize traffic flow within the facility
Delivery of location-based information and services, such as promotions or facility details
Effective measurement for navigation and promotions by tracking how often users reach their intended destinations or interact with promoted areas
Optimization of energy usage based on occupancy and movement patterns
Monitoring and analysis of movement patterns of people within the facility, identifying high-traffic areas and peak times
Correlation of occupancy and movement data with energy usage to optimize lighting, heating, and cooling systems
Analysis of data from emergency situations to improve evacuation plans and response strategies
Tracking of time users spend in different areas, providing insights into engagement and satisfaction levels
Discovery of insights into the occupancy levels of various areas in real-time or over time, helping manage space allocation, reduce overcrowding, and improve safety
Detection of unusual movement patterns or behavior that may indicate security breaches, unauthorized access, or other anomalies requiring immediate attention
Usage of machine learning and statistical models to forecast future movements, occupancy levels, and potential bottlenecks, enabling proactive management of space and resources
Behavioral analysis of different user groups, such as employees, visitors, or customers, to tailor services, enhance experiences, and improve operational efficiency
Simulation of the impact of different events or scenarios, such as emergencies, promotional events, or layout changes, on movement patterns and space usage
Evaluation of the movement of people or goods through a space, identifying areas of congestion and helping to optimize layouts and processes for smoother flow