DYNAMIC WORKFORCE MANAGEMENT WITH IOT
Managing a field workforce at maximum efficiency means balancing external factors against available resources – with cost parameters and alignment to SLAs and KPIs. This requires accurate data and transparent decision making.
The critical external factor is the unforeseen appointment request (job/ticket). Dynamic workforce scheduling removes pressure from dispatch teams, calculating and re-calculating optimised performance throughout the day and into the future.
Predictive analytics uses data to mitigate the cost risk associated with rescheduling (unbalanced use of skills, parts, and labour – even poorly
planned routes). A platform that works in the background to analyse how often machines require field service can inform planned maintenance and preparations.
FLS partner
mpro5 goes a step further. The IoT Automation System removes productivity hours lost when field checks find no action is required. Whether owned assets (such as in the utilities sector) or a part of
servitisation contracts, this time adds up quickly and can damage workforce sentiment (enjoyment of the job). IoT (Internet of Things) is available to solve this problem, yet in most IoT systems, only 1% of the data collected is actively utilised. mpro5’s platform fully harnesses the power of IoT sensors, collecting data to automatically generate jobs and workflows, check compliance, and allow you to implement entirely reactive business operations.
This live appointment data feeds directly into
FLS VISITOUR scheduling and route optimisation.