Trimble has released its next-generation work management solution, a cloud-based software which enhances the productivity of mobile workforces through scheduling tools and performance analytics.

The software is available in two packages:

  • Performance Insight, which includes performance management analytics  - a suite of dashboards and reports that show key metrics including quality of service, efficiency and utilisation of workers to deliver in-depth analysis and easily identify key trends and areas for improvement.
  • Performance Optimise, which includes performance management analytics coupled with scheduling and optimisation, a dynamic set of tools to plan, monitor and manage the execution of the workday in real-time to fully utilise the workforce.

Without performance management analytics, the field service manager may have quantities of data but doesn't know what it means or how to use it to fully drive improvement.

Performance management analytics provide shows what is preventing organisations from completing more jobs.

Managers can look at regions, teams and even individual workers by job type and performance and gain insight into how to improve productivity.

In addition, work management scheduling and optimisation offers an advanced toolset that automatically identifies and updates a mobile worker's preferences (i.e. territory knowledge and skills), and then allocates the appropriate task to that worker.

The intelligent advisor tool evaluates and displays the impact of assigning a job to a particular field worker in terms of overtime, tasks affected and travel time.

Mark Forrest, general manager of Trimble's field service management division, said: “Gaining real-time insight into what is happening in the field is crucial to delivering higher levels of service excellence.

“As business leaders examine how their organisation performs, they are exploring new and cost-effective ways to optimise efficiency and maximise productivity.

“Trimble's next-generation work management places the right information in the hands of the users when and where it is needed to enable accurate decision-making about the daily functions of the operation."

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