Mobility Providers and location-based businesses use the live and historical data to improve their demand prediction. Data can be mapped to POIs. Data used in Neural Networks and various Time Series Models.
Power suppliers receive historical data and average values on hourly and daily basis for city areas. Peak points improve modeling for allocation of energy, EV charging stations and other location decisions. Monte Carlo and Optimization Simulation are run quickly.
The live popularity and historical data can be used to determine where in a city many people come together. In combination with data on COVID-19, the spread effect of the virus can be deduced and the influence of lockdown measures can be determined.
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