LogiNext’s field workforce optimization is machine learning-enabled planning engine which pulls in all the constraints such as preferred time slot visits, avoiding repeat visits, avoiding overlap or mirroring, and also to optimize the service time or time spent at each outlet
Many industry experts have stated that their field workforce management leaves them with a lot to desire for. As we know the first step to effective field service management is getting the right person for the work. Once you have that, things should be a cakewalk, but it often isn’t. Why does this happen? And what can you do avoid that?
Consider the transportation industry. Transportation is no longer a support function, it is a necessity. The past year saw the highest amount of vehicle sales in most developed nations. The United States had more than 17.5 million car sales in 2016. Consumer movement is catching up with logistics transportation in some places and outperforming them in other places.
The home services (Utilities) management industry has moved leaps and bounds in terms of field agent management evolution & the adoption of Internet of Things. Connected devices, right from the appliances in your house, to the meters monitoring your usage, the collectors collating the metering information feeding it into the head-end system.
People have talked about the Internet of Things (IoT) in diverse terms, but what is it? IoT is the interaction and exchange of data amongst various connected devices and entities over the Internet, which then function towards singular goals. It’s like having a virtual connected universe, where you customize almost all your electronic interactions.