THE VALUE OF BEHAVIOUR

COVID-19 PANDEMIC

 

Fatti is committed to supporting Shopping Centres and other Public Venues in flattening the curve and slowing the spread of the COVID-19.

 

In cooperation with the National Coronavirus Command Council and the South African Council of Shopping Centres, Fatti can assist with the concept of limiting and managing social and public gatherings. 

 

Behavioural journeys of individuals can be monitored (historically and in Real-Time) throughout the mall to assist Landlords in understanding which stores/areas individuals visit.

 

Fatti monitors the number of individuals at any point in time via a Live Dashboard with a filter on counts that distinguish between number of staff and number of registered shoppers in Real-Time, thus guaranteeing adherence to the Governmental Requirements of social distancing and the limitation of the number of people.

WHAT WE DO

DETECTION

 

Fatti deploys world-class open-access WiFi networks using Fortinet infrastructure and hardware.  The implementation of a single-cell WiFi network, enables true behavioural analytics with high accuracy, detecting the shoppers’ complete journey throughout the mall and inside stores.

Access Points are strategically installed across the site. Trilateral detection of WiFi devices makes it possible to determine accurate positioning. Fatti currently detects approximately 70% of a site's population.

The high density of access points also offers property owners the ability to utilize the network to provide high-speed in-mall WiFi, enhancing the shopper experience.

REAL-TIME TRACKING

 

The Fatti Engage platform enables you to see the real-time movement of visitors inside a given space, depending on the coverage. If registered Wi-Fi users are logged on, specific personal details are available instantly when you click on a registered icon.

ANALYTICS REPORT AND DASHBOARD

 

Fatti is capable of detecting the following on-site analytics, based on the detected sample:

  • Total visitors

  • Unique visitors

  • New visitors

  • Return visitors

  • Site Passerbys

  • Time spent in mall or specific stores/areas

  • Day of month peak times

  • Day of week peak times

  • Time of day peak times

  • Conversion rate into stores

  • Number of stores visited

  • Shared store visits

  • Window efficiency

  • Dwell density

  • Floor distribution

WHERE WE DO IT

©2019 created by Fatti