Why do you think monitoring field workforce is vital for any organization? Is it because of security? Or productivity measures?
Geo-fencing for an enterprise can be effective to monitor workforce movement in the desired location. By setting a virtual fence, you can give clear instructions to your workforce. Creating a virtual fence and further offering it as part of a mobile app will actually let you know the location of the respective app users within this virtual fence. It will also tell when the executive entered or left the
When it comes to fuel costs, trying to manage what you don’t measure is like talking to a brick wall. Now., with geo-fencing you are monitoring your drivers’ fuel usage, driver behavior like idling and speeding significantly waste fuel etc.
How does it work?
Geofence is set with the help of GPS technology and just as GPS, it is also very sensitive and can offer you exact location-based information concerning the movement of the executive. Such a fence can be covering any distance and diameter according to your necessity and preference. The fence can include an entire city, or you can choose to include a street just facing your business location. Geo-fence can effectively monitor workforce movements along with fuel used, idle time etc. with appropriate time specific notifications.
Typically Geofence does not always need to be created around your location. In a different way, you can use this technology for the benefit of your business. For instance, if you have
Time saved for a day per field executive : 20 – 25 minutes
For the entire region that would be around : 160-180 minutes
Other benefits of Geo fencing include : calculating idle time & control of speed
To surmise, Geofencing is a superb technology with the revolutionary potential to transform so-called insignificant local data concerning a person’s movement into great business intelligence, security intelligence, workforce monitoring and management, remote surveillance of transport and people, etc.
Automation is a buzzword now, where the involvement of field workforce is more. The motto of automation is to complete tasks faster with fewer errors at cheaper costs.
SaaS is considered to be considerably more mature as a cloud offering than PaaS or IaaS. Even then, it is mainly Small & Medium Businesses that have adopted cloud services.
Google Flights used to notify users about flight schedules and delays based on the online information received from airlines. However, applying advanced AI and machine learning algorithms on flight data accumulated and analysed over the years, Google flights will now be able to predict flight schedules in advance, with up to 80% accuracy.