Your service team isn’t underperforming. Your data is just invisible.
Fault codes are firing. Engine hours are ticking. Usage spikes are happening right now — but if your team can’t see them in real time, they can’t act on them.
That’s the real problem. Not technician shortages. Not “slow seasons.” Not a lack of leads.
Equipment Lead Management connects directly to your customers’ machines and brings that data to the surface — no spreadsheets, no guesswork. Once it’s visible, your team knows exactly which accounts need service, and which don’t.
Let’s break it down.
🔧 The Fault Code Nobody Saw
When a fault code appears on a customer machine, that’s a service opportunity. But unless the customer calls you first (or your tech just happens to be there), it probably goes unnoticed.
With Equipment Lead Management, fault codes automatically trigger service leads — so your team knows exactly who to call and why. No cold calls. No missed opportunities.
📈 Usage Spikes = Proactive Service
When engine usage jumps, the need for maintenance follows. Instead of waiting for a breakdown or customer complaint, your team can act before downtime happens.
Usage trends are easy to miss — especially across dozens of customers and mixed fleets. Equipment Lead Management pulls those spikes into a single view, so nothing slips through the cracks.
⏱️ Engine Hours That Actually Mean Something
“Engine hours” sound like just another number — until you turn them into action.
With Equipment Lead Management, thresholds can be customized. Once a machine hits a milestone, your team gets a service alert. That means planned maintenance can be sold as a value, not a reaction.
🚀 You Already Have the Data. We Just Surface It.
Most dealers already collect engine hours, telematics, and diagnostics — but if it’s buried in a portal or siloed system, it’s not helping your team.
Equipment Lead Management integrates that data into a clear, visual dashboard your whole team can use. Service managers, dispatchers, and techs all stay aligned — and your revenue goes up.
Stop leaving money on the table. Make your data work for you — not the other way around.