🚜 Construction ERP · Equipment and plant
Track owned and hired plant across sites with digital log sheets and telematics. Schedule services by engine hours, catch fuel losses and charge every machine-hour to the right project, so you can see which machines earn their keep and which to move, sell or rent.
From telematics and the operator's log sheet: working, idling, travelling and switched off. Hover the legend to pick out each part. Example day.
2.25 hours of idling a day burns roughly 9 litres of diesel at an idle burn of 4 L/h (example), with nothing to show for it.
Hours used out of 2,000 available a year. Move the owning threshold to see how the advice changes; many fleets use 60–65%. Example fleet.
Build the full cost of one owned machine-hour and compare it with the market hire rate. Watch what happens when yearly hours drop. Example figures for a 20-tonne excavator; use your own.
Diesel at ₹92 a litre (example). Interest is charged on the average money tied up over the machine's life.
Cost my fleetThe engine-hour meter runs from log sheets or telematics. As each service interval comes up, a work order is raised with its checklist. Typical intervals; always follow your OEM manual.
Each machine's logged hours × its normal burn rate gives the fuel it should have used. Bars above the allowed variance are flagged. Example month.
Idle at one site, needed at another: every move gets a transfer note, so you always know where each machine is and which project pays for it.
Nine capabilities, each linked to the related module or service.
Share a month of log sheets and fuel issues for five machines, and we'll show their utilisation, cost per hour and fuel variance in a live demo.
Analyse my machinesSee the Construction ERPSix steps to go live.
Hover a card.
Idle machines found and moved to where they're needed.
Services done on time, before breakdowns stop work.
Over-issue and leaks flagged machine by machine.
Every hour costed and charged to the right project.
From a few machines on one site to fleets across states.
One integrated system.
Industries and services connected to plant management.
Answers for plant, project and finance teams.
It's how a contractor tracks, maintains, costs and deploys machines like excavators, cranes, loaders, mixers and DG sets across sites, whether owned or hired. The aim is high utilisation, low downtime and every machine-hour charged to the right project.
Utilisation is hours used divided by hours available. Many fleets use about 2,000 available hours a year per machine, so a machine that works 1,200 hours is at 60%. Track it per machine, not as a fleet average.
A common rule of thumb is that owning wins once a machine is used about 60–65% of the time, roughly 150 working days a year. Below that, renting is usually cheaper, because owning costs, often 20–30% of the purchase price a year, keep running whether the machine works or not.
Add the yearly owning costs (depreciation, interest, insurance) and operating costs (fuel, operator, maintenance), then divide by the hours the machine actually works in a year. Compare the result with the market hire rate for the same class of machine.
Each model has service intervals set by its maker, commonly every 250, 500, 1,000 and 2,000 hours. The ERP reads engine hours from log sheets or telematics and raises the service before it's overdue. Always follow your OEM manual.
It compares fuel issued with the fuel each machine should have used for its logged hours at its normal burn rate. Machines that draw much more than expected are flagged for checking.
Yes. Engine hours, location, idle time and fault codes can be pulled from OEM telematics or GPS devices through APIs, so log sheets need less manual entry.
Owned machines are charged at an internal hourly or daily rate for the hours logged on each project. Hired machines are booked against the hire work order and the vendor's bill.
Usually 6 to 10 weeks, depending on fleet size, sites and telematics integrations. This is an estimate.
Tell us how many machines you own and hire, and how you track them today. We reply within 4 business hours and can demo with your own data.