Municipalities


 

Every city has interesting places to visit (touristic spots), and concrete actions are taken in order to attract visitors to those specific points of interest. It is very useful to know if the people that visit those places later go to entertainment and commercial zones, and subsequently obtain information as to how and when they do it. In addition to measuring these flows, the City can contact the visitor or citizen at the appropriate time and place providing them with useful information concerning the locality, letting them know of any present or upcoming events, and ultimately having a direct contact with those who are visiting or planning to visit the City.

 


Public Services

The aim of public services (public buildings, hospitals, transportation, etc) is to offer citizens faster and more efficient solutions in a direct and polite way. Seeketing offers solutions focused on this sector which allow institutions to monitor all doors, hot spots, entry/exit zones, queue times or average time of stay. Seeketing can further communicate pertinent information in real time to visitors and clients: opening and closing times, queue times, temporary delays, service window availability, etc.

 

 


Transportation

 

Transportation networks need to measure and influence their passengers in real time to monetize their infrastructure and to create new business. The current analytical and monitoring systems are manual or based on estimates, making impossible to measure how a traveler behaves when is using a transport system.

 

SEEKETING technology offers massive data, 24x7, which allows the following functions for Transport Systems:

 

For Operations:

  •  Real-time alerts for different managers
  •  Agglomerations
  •  Dwell times above thresholds
  •  "Suspects“ phones
  •  Monitoring of assistance to people with reduced mobility
  •  Integration with the screens and loudspeakers systems, and real-time alerts depending on passenger profiles, passenger volume

 

 

For Logistics:

  • Matrix of traveller’s origin and destination 
  • Intensities per section and direction
  • Times between stops per direction
  • Demand per travel
  • Demand by hour and destination
  • Analysis of disturbances (incidents)
  • Demand forecast

 

Traffic analytics

  • Volume of unique travellers
  • New and recurring travellers
  • Main flows and pattern behavior
  • Traveller’s  profiles
  • Dwell times by zones

 

Communication & marketing

  • Sign in (WiFi, App, Web)
  • Opportunities of sale by zones
  • Cross-shopping between stores
  • Digital and physical marketing
  • Recommendations according to profiles