How much time does your team spend figuring out which technician should go where?

Matching the right technician to the right job, factoring in skills, location, parts availability and SLA priority, is one of the most complex daily challenges in tower operations.

In many teams, it still comes down to spreadsheets, phone calls, and experience. It works most of the time, until it doesn’t.

PowerX AI Maintenance includes Task Optimiser, designed to take the pressure off operations teams by automatically assigning work orders using multiple configurable criteria, including:

• Skills and certifications

• Current location and travel time

• Parts and inventory availability

• SLA urgency and priority

The result is more reliable scheduling, fewer missed SLAs, less wasted travel, and field engineers arriving prepared to complete the job first time.

If scheduling still depends on who “knows the network best”, it may be time to see what optimisation looks like in practice.

Your utility power bill doesn't always tell you who actually used the power.

On many shared tower sites, utility power is often measured for the whole site, not for each tenant. This means energy costs are often shared based on estimates instead of actual usage leading to lost revenue and reduced profit. ​
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The challenge isn't paying the electricity bill. It's knowing how much power each tenant has used and making sure you're recovering those costs correctly. ​
PowerX gives you a clear view of energy use by tenant, so you can bill more accurately, plan for future demand, and make better decisions based on real data. ​
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The result:​

• More accurate tenant billing​
• Better revenue recovery​
• Smarter capacity planning​
• Clear visibility into energy usage​
• Better operational decisions