Aligning Field Resources To Demand
Driving Efficiency & Effectiveness In The Field
At Kirona, we help clients to create a highly effective and efficient field workforce. We do this through enabling informed field resource planning and forecasting to ensure that every field worker is fully utilised and that more can be achieved with the resources available.
We help our clients to fully understand their operation, align demand to the resources and to simulate and evaluate the scheduling options that are available to them.
Our Field Workforce Automation software enables you to manage the end-to-end field-service lifecycle and as such, provides you with complete visibility of every dimension of your operation.
This holistic insight enables you to clearly understand the demands on your operation: what jobs, tasks and appointments need to be fulfilled, the timescales of each, their interdependencies, the geographic spread of this demand and how you are currently fulfilling them based on current skill, capability and productivity levels.
With insight into demand and understanding of available resources, our Dynamic Resource Scheduling software (Xmbrace DRS) enables our clients to think differently about planning.
Kirona’s Xmbrace DRS provides you with the ability to schedule based on any number of user-defined attributes. This means you can quickly build and test different scenarios of how you can align your resources to projected demand, whether that be as part of major programmes of work, or as part of delivering a responsive service.
Aligning Resources With Demand
By modelling different scenarios, Xmbrace DRS enables you to quickly identify areas of inefficiency where the resources you have, or the location of these resources, do not align with demand.
Kirona’s Xmbrace DRS takes the guess work out of realigning resources. It enables you to model the current workforce against projected demand and then to model and identify the cost impact of realigning resources by skill or location. This actionable insight and ability to model different scenarios enables far more informed decisions to be taken, faster.