Inventory with real hierarchy
Plant, line, system, and machine. Lets you reason by group, not just by individual equipment.
Industry
Maintenance knowledge can't live in one person's head
In a plant, the person who knows why that pump fails every summer is usually one specific person. When they're off, retire, or change jobs, the plant loses something that was never written down anywhere.
Who this is for
For production plants, factories, and sites with critical assets where downtime has a direct cost. The sector doesn't matter — food, chemicals, automotive, paper — as long as maintenance is organized around machines that can't stop without warning.
What not having history costs you
It's not a software problem: the information exists, but it isn't where decisions get made.
- The same failure repeats and nobody can prove how many times it's already happened.
- Preventive maintenance gets done "when there's time", and what gets skipped isn't recorded.
- The machine manual is in a filing cabinet, and the diagram is in someone's email.
- A critical spare part gets ordered late because there was no way to anticipate consumption.
- You can't back it with data when deciding whether to repair again or replace the equipment.
What it solves
Turning what the team knows into something the plant keeps.
Preventive maintenance that doesn't depend on memory
Recurring plans that generate work orders on their own, with an annual forecast to negotiate shutdown windows.
Corrective maintenance with a cause
Every failure is logged against its machine, with what was done and what was consumed. The history builds itself.
Checklists and rounds
What to check on each inspection, as verification or reading fields, tied to the asset type.
Documentation on the machine
Manuals, diagrams, and certificates attached to the asset, not to a shared folder nobody can find.
Spare parts and consumption
Warehouse with batches and movements, with material charged to the work order. Real consumption is the basis for knowing what stock you need.
MTBF, MTTR, and costs
Reliability and availability metrics per machine, alongside the accumulated cost of each asset.
The technician, on the plant floor
The work order and history on the phone, even in areas without coverage. What gets done is logged as it happens, not at the end of the shift.
How to start when you don't have an inventory
This is the real blocker in almost every industrial rollout, and almost nobody talks about it. What works isn't mapping the whole plant before you begin: it's picking the most critical line or system, registering its equipment with the bare minimum — ID, location, and model — and launching the first preventive plans there. That alone gets real work orders flowing within weeks, which is what gets the team to adopt the system. The rest of the plant comes in later, via import when there's a usable list and on-site when there isn't, and technical details get filled in along the way. A perfect inventory that takes eight months to finish usually ends up an abandoned inventory by month four.
Preventive maintenance and the production shutdown
In a plant, preventive maintenance competes with production for the same resource: machine downtime. That negotiation is won with foresight, not arguments. Having the annual plan calculated — which checks fall in which month, on which equipment, and how many hours they require — lets you walk into the scheduling meeting with a proposal instead of a request, and bundle everything that line needs into a single window instead of stopping it three times. Just as important is the opposite: when a check gets skipped because there was no shutdown, it should be logged as not done. A plan that's 70% completed is useful information; a plan where you only see what was done isn't information, it's a flattering photo.
Shall we look at it with your way of working?
Leave your details and we will get in touch to see whether we fit. No commitment, no lock-in period.
Usage-based maintenance, not just calendar-based
Some equipment wears out based on work, not time: operating hours, cycles, units produced, kilometers. For those, checking every six months is both too little in high season and too much during downtime. GMAO Cloud supports counters on assets and logs their readings, so maintenance can be anchored to real usage. The technician records the reading when they intervene, and that reading is linked to the work order and the equipment.
Repair again, or replace the machine?
It's the conversation most often decided on gut feeling, and the one that moves the most money. GMAO Cloud turns it into a calculation: each asset can have an installation cost and a warning percentage registered, and the system alerts you when accumulated repair cost crosses that threshold. Alongside the number of interventions, MTBF, and the depreciation date, it stops being "that machine is giving us a lot of trouble" and becomes a figure you can bring to management. It doesn't decide for you — you set the threshold, and a process-critical machine may be worth keeping even past it — but at least the discussion starts from data.
Before predictive comes history
A lot of predictive maintenance gets sold to plants that still close work orders with "checked and working". It needs to be said plainly: anticipating a failure first requires properly logging the ones that already happened, because without history there's no pattern to detect, with sensors or without them. The sequence that works is: log corrective work with its cause, get preventive maintenance running, and only then consider whether some critical piece of equipment justifies instrumentation. Starting from the end is expensive and usually ends with a beautiful dashboard fed by data nobody trusts.
The history is the asset
A machine's record with five years of interventions behind it answers questions no spreadsheet can: what fails most, which spare part is really consumed, how much that piece of equipment has cost so far, and whether the next repair makes sense. You can't buy that history: it accumulates from logging things properly from the start.
Frequently asked questions
Can we import the assets we already have?
Yes. The product includes a data importer to register existing inventories from files, which is the usual way to get started without typing in thousands of pieces of equipment.
Does it calculate MTBF and MTTR?
Yes, they're two of the available reports. They're calculated from logged work orders, so their reliability depends on interventions being recorded as they happen.
Does it work if we already have an ERP?
Yes. The ERP manages the company and the CMMS manages maintenance. There are production integrations with Business Central and Navision, SAP, Sage X3, Libra, and others, plus REST, SOAP, SQL, CSV, and FTP APIs.
What about legal maintenance and mandatory inspections?
They're managed as preventive plans with their own checklists and associated documentation, so there's a record of what was checked, when, and with what result.
Where do we start if we don't have an inventory?
With the most critical line or system, with the bare minimum per piece of equipment: ID, location, and model. That alone gets real work orders flowing within weeks. The rest of the plant comes in later, via import if there's a usable list and on-site if not. Mapping the whole plant before starting is the fastest route to an abandoned inventory.
Does it do predictive maintenance with sensors and AI?
Not the way the industry sells it. What it does do is usage-based maintenance, with counters and readings on the asset, and a financial warning when a piece of equipment's accumulated repair cost exceeds the percentage you've set over its installation cost. Anticipating failures with condition data first requires history, and that's where the system contributes.
How do you decide whether to repair again or replace the equipment?
With the accumulated cost per asset, the number of interventions, the MTBF, and the depreciation date. You can set a percentage over installation cost so the system warns you when it's exceeded. The decision is still yours, but it stops being made on gut feeling.
Try it with your machines
In the demo we'll set up part of your asset hierarchy and your preventive plans, to see what shows up once the history is all in one place.